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Si so product 1 day technical

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  • This presentation is focused primarily on application infrastructure for the cloud generation of applications.Our agenda, or roadmap if you will, will cover three topics:[CLICK] Briefly cover VMware’s vision for the next decade of information technology and discussing how VMware is taking a uniquely comprehensive approach to enabling the next major era of IT across three major layers:Cloud Infrastructure, Cloud Application Platform, and End User Computing[CLICK] We will then drill down into the cloud application platform and the key drivers we are seeing that are driving requirements in this space[CLICK] And then we will drill down specifically into VMware vFabric, VMware’s cloud application platform solution that: Is comprised of Spring and new VMware vFabric product family: Modern application framework and integrated platform services Maximizes speed and innovation: enabling customers to bring new apps to market faster and with less complexity Extends the benefits of virtualization to the application: Provides an evolutionary path to the cloud whether private, public or hybrid
  • In a traditional application development approach, a line of business decides they have need of some new capability that will improve business operations, revenue, … whatever. They commission the construction of a new system, and at this time, the LOB IT group will then look at the budget they have, scope the work, then begin procuring hardware and software for at least the development environment, and, if they are forward thinking, will commission the production and staging environments as well so that they can cut down on the months of work involved in physically provisioning hardware, network, security, software packages, databases, etc. In this example, the customer is looking to build a system that requires 11 servers that deliver appropriate capabilities required by the application. The physical approach is costly, in that this environment is replicated in dev/stage/and production, it is very costly. If you are the development lead on this project, and your job depends on your ability to deliver an application that performs and never fails, how much hardware/software/bandwidth, etc. are you going to buy? Answer: All of it! You will look at the budget you are given, and you will overprovision everything that you can to make sure that nothing breaks, there is redundency at every layer, etc. This is why customers have spent so much on heavy-weight infrastructure! It is costly, but I have way too much storage, way too much disc, way too much RAM, CPU, fans, bandwidth, etc. However, it is completely static. If you do run out of capacity in this environment, can you save the environment from denying requests by dynamically scaling? No. If you decide that IBM will give you a better price on application infrastructure than Oracle will, can you easily pick up your application and run it in a new environment? Not using traditional development approaches. If you dedicate yourself to a traditional vendor’s tools and development approaches, then you will find yourself bound to a particular application stack.<Click> So, what VMware is driving towards is a more portable and productive development paradigm that can not only deploy to that traditional IT approach, but can effectively deploy to an internal cloud of server resources, or a public or hybrid cloud. <Click> This paradigm is Spring. When developers build applications using Spring, then they can deploy their code almost anywhere. You can run Spring in Oracle, in IBM, in RedHat, in open-source, even in .Net. As opposed to the previous approach, CIOs can make strategic decisions about deployment platform changes without overwhelming cost, as Spring can literally be lifted from one platform, and dropped into another. This portability allows for transparency of the underlying implementation and allows for a new kind of infrastructure.Remember how overprovisioned the old way of doing business was? When the CIO is looking at cloud, your requirements for infrastructure change. You are no longer interested in overprovisioning, you are focused on optimal utilization of the available resources. That means, you are no longer interested in deploying gigs of infrastructure when only megs are needed. Leveraging virtualization, and this lighter weight approach to infrastructure, IT can move more towards self-service provisioning by requesting sets of virtual machines to run tests, to spin up development environments and then give the resources back to the pool for someone else. What does this do to cost when several development shops leverage the same set of hardware rather than build out distinct environments? What does that do to cost? What does that mean in terms of faster time to market? I can now look to dynamically scale as provisioning virtual resources is trivial compared to physical.Questions?
  • This Use Case is intended to illustrate the kind of applications and platform behavior that VMware’s Cloud Application Platform addresses:The travel company has rolled out its new Hotel Booking application In order to drive up bookings, they are running a special promotion that will only be available for 7 hours – from 9am to 4pm. At 9 am, buyers start booking rooms at the special promotional rates. If you don’t have a system to automatically handle increasing usage, your app will fall over and revenue will be impeded. However, if you’re using VMware’s Cloud Application Platform, you can have the information necessary to automatically scale up application instances, meet the usage spikes, and enable the company to meet its revenue goals. Conversely, as usage declines towards the end of the day, you can set the appropriate policy to automatically scale down app instances, freeing up virtual infrastructure for other needs, such as an Order Tracking application. Since transparent insight into performance is able to gathered across the application and underlying infrastructure platform, you have the flexibility to set policy at whatever level of your application that is needed.
  • VMware’s Cloud Application Platform addresses the needs of BOTH developers and operations by combining market-leading developer frameworks and tools with integrated application platform services to deliver speed, portability, and optimized use of cloud resources.The Modern Frameworks and Tools enable developers to build innovative new applications in a familiar and productive way while enabling the choice of where to run those applications (inside the datacenter or on private, hybrid, or public clouds). The Modern Platform Services are much more agile and designed for virtualization. Unlike traditional middleware platforms, these platform services provide lightweight footprints that make the best use of the underlying virtual infrastructure platform as well as enable businesses to bring applications to market faster and with less complexity: new applications can be delivered in days or weeks rather than months or years, and at scale.[CLICK]These two layers in our cloud application platform are Spring family of frameworks and tools and the VMware vFabric family of platform services. Let’s take a look at these in a little more detail…
  • http://www.indeed.com/jobtrends?q=websphere+and+java+and+developer%2C+weblogic+and+java+and+developer%2C+spring+and+java+and+developer&l=Gartner: Spring: Past, Present and Future, 15 June 2009Evans Data Corporation, Spring Usage Study, November 2008
  • Spring is bringing a modern application architecture to a number of traditional enterprise applications today. This example shows what many application developers within the Spring community are doing to successfully architect new Web 2.0 applications that go well beyond the limits of today’s enterprise portal technologies.Many start on their journey by adopting the Grails. Grails delivers a new age of Java web application productivity, enabling Web 2.0 projects to be delivered in weeks instead of months. Powered by Spring, Grails out-performs the competition. Grails provides dynamic, agile web development without compromises. In addition to leveraging Spring-powered plugins for Mobile, Security, REST and MVC, Grails provides a object relational mapping tool (GORM) that full leverages the broad SQL and NoSQL data access capabilities of Spring, as well as many other plugins to speed-up the development of your web 2.0 application, such as the new plugin for RabbitMQ.[CLICK]With RabbitMQ serving as a message broker, Grails developers are able to fully re-use back-end, headless enterprise services built in Spring that provide access to a wide-range of internal and external data sources. Caching is often used within this services tier to dramatically improve the performance of these enterprise services, providing a seamless experience for the end-user.[CLICK]With Gemfire serving as an enterprise data fabric, Spring developers are able to provide real-time access to globally distributed data that is kept fully in-synch with existing file systems, databases, and other data systems from across the enterprise. Performance Management for these web 2.0 applications is provided by Hyperic—which can be easily extended with custom user interfaces such as a dashboard for analyzing active web sessions and associated website traffic in real-time.
  • This example shows what many application developers within the Spring community are doing to successfully architect new enterprise integration applications that extend their core Spring expertise towards re-invigorating their enterprise SOA / ESB strategies at a fraction of the cost.Many start on their journey by introducing Spring Integration (SI) into their existing back-end, headless enterprise Spring services. Spring Integration provides an embedded message bus that runs within any Spring application context, where all components are Spring-managed beans. Spring Integration also provides an Application Integration Framework, connecting to other systems with adapters. Both unidirectional channel adapters and bi-directional messaging gateways are provided out of the box with Spring Integration – all completely configurable through simple, intuitive XML namespaces for use within your Spring application.[CLICK]With RabbitMQ serving as a message broker, Spring Integration developers are able to fully distribute their enterprise services as needed across the enterprise. Since changing a Spring Integration Channel from Java-NIO to AMQP, REST, JMS, or even SOAP is as simple as changing the configuration within the Spring Application Context, architects can defer decisions around if/how to distribute their enterprise services until usage patterns and load are clearly understood.[CLICK]Caching is often used within these enterprise services to dramatically improve their performance, and with Gemfire serving as an enterprise data fabric, Spring developers are able to push data to the “edge” of their enterprise integration clouds—providing real-time access to globally distributed data that is kept fully in-synch with existing file systems, databases, and other data systems from across the enterprise. End-to-end management and monitoring of these highly distributed applications is provided by Hyperic—which can be easily extended with custom user interfaces such as a dashboard for monitoring business transactions as they flow through the distributed enterprise integration cloud, complete with custom alerts for those transactions that require exception handling along the way.
  • This example shows what many application developers within the Spring community are doing to successfully architect new distributed, partitioned batch processing applications that extend their core Spring expertise towards modernizing their legacy mainframe applications at a fraction of the cost.Many start on their journey by introducing Spring Batch to orchestrate their existing back-end, headless enterprise Spring services within robust batch applications vital to the daily operations of their enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. Spring Batchalso provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. [CLICK]With RabbitMQ serving as a message broker, parallel processing allows multiple batch runs / jobs to run in parallel to minimize the total elapsed batch processing time. This is not a problem as long as the jobs are not sharing the same files, data or index spaces. If they do, this service should be implemented using partitioned data. While caching is often used within batch processing to dramatically improve their performance, the Gemfire data fabric supports the robust partitioning requirements of modern enterprise batch processing applications.[CLICK]Using partitioning allows multiple versions of large batch applications to run concurrently. The purpose of this is to reduce the elapsed time required to process long batch jobs. Processes which can be successfully partitioned are those where the input file can be split and/or the main data set partitioned to allow the application to run against different sets of data. In addition, processes which are partitioned must be designed to only process their assigned data set. A partitioning architecture within Spring Batch can be closely tied to the data partitioning strategy within Gemfire.End-to-end management and monitoring of these enterprise batch processing applications is provided by Hyperic—which can be easily extended with custom user interfaces such as the batch admin tool used for scheduling, monitoring and managing batch jobs, complete with custom alerts for those jobs that require exception handling along the way.
  • VMware’s Cloud Application Platform addresses the needs of BOTH developers and operations by combining market-leading developer frameworks and tools with integrated application platform services to deliver speed, portability, and optimized use of cloud resources.The Modern Frameworks and Tools enable developers to build innovative new applications in a familiar and productive way while enabling the choice of where to run those applications (inside the datacenter or on private, hybrid, or public clouds). The Modern Platform Services are much more agile and designed for virtualization. Unlike traditional middleware platforms, these platform services provide lightweight footprints that make the best use of the underlying virtual infrastructure platform as well as enable businesses to bring applications to market faster and with less complexity: new applications can be delivered in days or weeks rather than months or years, and at scale.[CLICK]These two layers in our cloud application platform are Spring family of frameworks and tools and the VMware vFabric family of platform services. Let’s take a look at these in a little more detail…
  • Now that the Developers have the necessary tools and frameworks to build the new hotel room booking application, they need a platform that can optimally run the application.Modern platforms provide lighter-weight application runtimes, efficiently manage access to large volumes of data, and open up new ways for applications inside and outside the datacenter to communicate through:[CLICK] Lightweight application server that can be instantaneously provisioned and elastically scaled[CLICK] Data management platform that provides real-time access to globally distributed data[CLICK] Cloud-ready messaging service that facilitates communications between applications inside and outside the datacenterMoreover, modern platforms need to be built with performance in mind. By providing transparent visibility into the performance of the applications and underlying infrastructure, new levels of agility can be driven through policy-driven automation and application-level SLAs that drive proactive operational behavior through such services as: [CLICK] Web server / load balancing service that is able to dynamically route requests to an application server for processing[CLICK] Proactive performance management services powered by transparent visibility into applications and infrastructure [CLICK] Policy-based configuration and provisioning services that automate the process of running and managing an application
  • If you remember the picture we spoke about at the beginning, traditional IT has loved heavyweight enterprise application servers. These servers are required to host applications. Traditional JEE servers are very large engines that provide a large number of enterprise capabilities (such as monitoring, management, support, etc.). Because of these command and control capabilities, IT Ops has favored these large engines of enterprises past. On the opposite end of the spectrum is this very lightweight container called Tomcat. Tomcat is free and a fraction of the size of JEE servers. As an example, WebLogic and WebSphere are both around a gig in size. Tomcat is around 9 meg. What VMware is doing with vFabric tcServer is bring all of these enterprise capabilities to the Tomcat application container. So, if you are deploying 1 instance of WebLogic to an HP Superdome, do you care that WebLogic requires a lot of CPU, memory, etc.? Not really. If you are looking to deploy 50 VMs to a more cost effective vBlock, do you want a huge WL instance in every VM? No way. It becomes imperative to drive more efficiency with a light-weight approach, especially if I can still get those enterprise capabilities. This is not even considering price, where tcServer is typically 1/10th the cost with a very strong long term TCO.
  • SpringSource Tool Suite (STS) provides the best way for a developer to get started with Spring or Grails.Since it embeds the developer edition of tc Server, developers get the benefits of using the Spring Insight performance dashboard which automatically instrucments their existing Spring applications and provides deep insight into Spring application performance.STS provides a rich set of visual tools, wizards, code generation tools and tutorials that help a developer create applications very quickly.STS enables developers to deploy their applications onto any Java application server (tc Server, WebLogic, etc), deploy into VMware Workstation and VMware Lab Manager environments, and deploy into cloud platforms such as Cloud Foundry. The key point here is that we provide c consistent developer experience no matter what the deployment target may be (developer desktop, data center, or cloud)
  • http://static.springsource.com/projects/tc-server/6.0/getstart/cgscreateinst.html#cgscreateinst__templatesCreate multiple instances of tc Server with a single set of binaries. This adds the following value for customers:A single installation of tc Server (that uses the SpringSource layout) supports multiple running tc Server instances.One set of binaries means easy upgrades of all the associated instances.Multiple separate instances allows testing of configuration and code changes without touching the production instance.
  • tc Server also enhances its Tomcat compatible core with advanced diagnostics. For example, tc Server supports request level diagnostics that detect slow running requests and identifies the time spent during the request in garbage collection and database operations - frequent causes of slow requests. The diagnostics for database operations provide access to the SQL that triggered the slow request making root cause analysis significantly simpler.
  • Automatically monitors execution times for code that uses @Controller, @Service, @Component, @Transactional, and @Repository stereotyped annotations:Metrics: AverageElapsedExecutionTime(ms), ExecutionsPerSecond, InvocationCount, MaximumExecutionTime(ms), MinimumExecutionTime(ms), ThrownExceptionCount NOTE: @Controller, @Service, and @Component are typically key endpoints within an application worth measuring, and @Repository and @Transactional handle data access and transaction management, both of which are worth measuring. People using these Spring annotations get these metrics collected automatically (no extra work on their part). We also monitor execution times and enable operations to be executed across a range of standard Spring components such as:Platform Transaction Manager:Metrics: CommitsPerSecond, FailedCommits, FailedResumes, FailedRollbacks, FailedSuspends, ResumesPerSecond, RollbacksPerSecond, SuspendsPerSecond Hibernate Session Factory has over 40 metrics exposed including:Metrics: QueryExecutionMaxTime(ms), QueryExecutionCount, QueryCacheHitCount, QueryCacheMissCount, EntityLoadCount, EntityInsertCount, , EntityUpdateCount, EntityDeleteCount, … Default Message Listener Container:Metrics: ActiveConsumers, AverageElapsedTimePerMessage(ms), FailedMessages, MessagesPerSecond, MessagesReceived, ScheduledConsumersOperations: start, stop, set Concurrent Consumers, set Max Concurrent Consumers, scale Max Concurrent Consumers, set Max Messages Per Task, set Idle Task Execution Limit JMS Template:Metrics: AverageElapsedTimePerMessageSent(ms), FailedMessageSends, MessagesSent, MessagesSentPerSecondOperations: set Receive Timeout Java Mail Sender: Metrics: AverageElapsedTimePerMessage(ms), FailedMessages, MessagesSent, MessagesPerSecondOperations: setHost, setPort Thread Pool Task Executor:Metrics: ActiveTasks, LargestPoolSize, PoolSize, QueueSizeOperations: set Core Pool Size, set Max Pool Size, set Keep Alive Seconds
  • Automatically monitors execution times for code that uses @Controller, @Service, @Component, @Transactional, and @Repository stereotyped annotations:Metrics: AverageElapsedExecutionTime(ms), ExecutionsPerSecond, InvocationCount, MaximumExecutionTime(ms), MinimumExecutionTime(ms), ThrownExceptionCount NOTE: @Controller, @Service, and @Component are typically key endpoints within an application worth measuring, and @Repository and @Transactional handle data access and transaction management, both of which are worth measuring. People using these Spring annotations get these metrics collected automatically (no extra work on their part). We also monitor execution times and enable operations to be executed across a range of standard Spring components such as:Platform Transaction Manager:Metrics: CommitsPerSecond, FailedCommits, FailedResumes, FailedRollbacks, FailedSuspends, ResumesPerSecond, RollbacksPerSecond, SuspendsPerSecond Hibernate Session Factory has over 40 metrics exposed including:Metrics: QueryExecutionMaxTime(ms), QueryExecutionCount, QueryCacheHitCount, QueryCacheMissCount, EntityLoadCount, EntityInsertCount, , EntityUpdateCount, EntityDeleteCount, … Default Message Listener Container:Metrics: ActiveConsumers, AverageElapsedTimePerMessage(ms), FailedMessages, MessagesPerSecond, MessagesReceived, ScheduledConsumersOperations: start, stop, set Concurrent Consumers, set Max Concurrent Consumers, scale Max Concurrent Consumers, set Max Messages Per Task, set Idle Task Execution Limit JMS Template:Metrics: AverageElapsedTimePerMessageSent(ms), FailedMessageSends, MessagesSent, MessagesSentPerSecondOperations: set Receive Timeout Java Mail Sender: Metrics: AverageElapsedTimePerMessage(ms), FailedMessages, MessagesSent, MessagesPerSecondOperations: setHost, setPort Thread Pool Task Executor:Metrics: ActiveTasks, LargestPoolSize, PoolSize, QueueSizeOperations: set Core Pool Size, set Max Pool Size, set Keep Alive Seconds
  • http://static.springsource.com/projects/tc-server/6.0/getstart/cgscreateinst.html#cgscreateinst__templatesCreate multiple instances of tc Server with a single set of binaries. This adds the following value for customers:A single installation of tc Server (that uses the SpringSource layout) supports multiple running tc Server instances.One set of binaries means easy upgrades of all the associated instances.Multiple separate instances allows testing of configuration and code changes without touching the production instance.
  • http://static.springsource.com/projects/tc-server/6.0/getstart/cgscreateinst.html#cgscreateinst__templatesCreate multiple instances of tc Server with a single set of binaries. This adds the following value for customers:A single installation of tc Server (that uses the SpringSource layout) supports multiple running tc Server instances.One set of binaries means easy upgrades of all the associated instances.Multiple separate instances allows testing of configuration and code changes without touching the production instance.
  • http://static.springsource.com/projects/tc-server/6.0/getstart/cgscreateinst.html#cgscreateinst__templatesCreate multiple instances of tc Server with a single set of binaries. This adds the following value for customers:A single installation of tc Server (that uses the SpringSource layout) supports multiple running tc Server instances.One set of binaries means easy upgrades of all the associated instances.Multiple separate instances allows testing of configuration and code changes without touching the production instance.
  • Now that the Developers have the necessary tools and frameworks to build the new hotel room booking application, they need a platform that can optimally run the application.Modern platforms provide lighter-weight application runtimes, efficiently manage access to large volumes of data, and open up new ways for applications inside and outside the datacenter to communicate through:[CLICK] Lightweight application server that can be instantaneously provisioned and elastically scaled[CLICK] Data management platform that provides real-time access to globally distributed data[CLICK] Cloud-ready messaging service that facilitates communications between applications inside and outside the datacenterMoreover, modern platforms need to be built with performance in mind. By providing transparent visibility into the performance of the applications and underlying infrastructure, new levels of agility can be driven through policy-driven automation and application-level SLAs that drive proactive operational behavior through such services as: [CLICK] Web server / load balancing service that is able to dynamically route requests to an application server for processing[CLICK] Proactive performance management services powered by transparent visibility into applications and infrastructure [CLICK] Policy-based configuration and provisioning services that automate the process of running and managing an application
  • The acquisition advances SpringSource’s vision of providing the infrastructure necessary for emerging cloud-centric applications, with built-in availability, scalability, security and performance guarantees. These modern applications require new approaches to data management, given they are deployed across elastic, highly scalable, geographically distributed architectures. With the addition of GemStone’s data management solutions, SpringSource customers can ensure the right data is available to the right applications at the right time within a distributed cloud environment.
  • Now that the Developers have the necessary tools and frameworks to build the new hotel room booking application, they need a platform that can optimally run the application.Modern platforms provide lighter-weight application runtimes, efficiently manage access to large volumes of data, and open up new ways for applications inside and outside the datacenter to communicate through:[CLICK] Lightweight application server that can be instantaneously provisioned and elastically scaled[CLICK] Data management platform that provides real-time access to globally distributed data[CLICK] Cloud-ready messaging service that facilitates communications between applications inside and outside the datacenterMoreover, modern platforms need to be built with performance in mind. By providing transparent visibility into the performance of the applications and underlying infrastructure, new levels of agility can be driven through policy-driven automation and application-level SLAs that drive proactive operational behavior through such services as: [CLICK] Web server / load balancing service that is able to dynamically route requests to an application server for processing[CLICK] Proactive performance management services powered by transparent visibility into applications and infrastructure [CLICK] Policy-based configuration and provisioning services that automate the process of running and managing an application
  • Modern applications require new approaches to data management, especially as they are deployed across elastic, highly scalable, geographically distributed architectures. By reducing application and data latency, companies are able to react faster than the competition – milliseconds matter. Moreover, by basing decisions on real-time, globally distributed access to data , companies can truly achieve strategic advantage.By adding GemFire and RabbitMQ, our customers can ensure the right data is available to the right applications at the right time within a distributed cloud environment. No longer are backend databases a performance bottleneck!By integrating GemFire and RabbitMQ with Spring and tc Server, for example, we aim to provide a seamless experience for developers to create and scale their next-generation applications in a productive manner.
  • Now that the Developers have the necessary tools and frameworks to build the new hotel room booking application, they need a platform that can optimally run the application.Modern platforms provide lighter-weight application runtimes, efficiently manage access to large volumes of data, and open up new ways for applications inside and outside the datacenter to communicate through:[CLICK] Lightweight application server that can be instantaneously provisioned and elastically scaled[CLICK] Data management platform that provides real-time access to globally distributed data[CLICK] Cloud-ready messaging service that facilitates communications between applications inside and outside the datacenterMoreover, modern platforms need to be built with performance in mind. By providing transparent visibility into the performance of the applications and underlying infrastructure, new levels of agility can be driven through policy-driven automation and application-level SLAs that drive proactive operational behavior through such services as: [CLICK] Web server / load balancing service that is able to dynamically route requests to an application server for processing[CLICK] Proactive performance management services powered by transparent visibility into applications and infrastructure [CLICK] Policy-based configuration and provisioning services that automate the process of running and managing an application
  • Now that the Developers have the necessary tools and frameworks to build the new hotel room booking application, they need a platform that can optimally run the application.Modern platforms provide lighter-weight application runtimes, efficiently manage access to large volumes of data, and open up new ways for applications inside and outside the datacenter to communicate through:[CLICK] Lightweight application server that can be instantaneously provisioned and elastically scaled[CLICK] Data management platform that provides real-time access to globally distributed data[CLICK] Cloud-ready messaging service that facilitates communications between applications inside and outside the datacenterMoreover, modern platforms need to be built with performance in mind. By providing transparent visibility into the performance of the applications and underlying infrastructure, new levels of agility can be driven through policy-driven automation and application-level SLAs that drive proactive operational behavior through such services as: [CLICK] Web server / load balancing service that is able to dynamically route requests to an application server for processing[CLICK] Proactive performance management services powered by transparent visibility into applications and infrastructure [CLICK] Policy-based configuration and provisioning services that automate the process of running and managing an application
  • Monitoring custom applications needs to go beyond simple “is this server available or not?” You can have a web server, for example, that is available but is not processing any requests. Being able to see availability as well as response times, throughput, and other key metrics WITHIN software infrastructure such as web servers is critical insight to have when diagnosing issues.
  • As enterprise IT teams address the CIOs top two initiatives for 2010 (virtualization and cloud computing according to Gartner), having a monitoring and performance management solution that is able to span both physical and virtual worlds is essential.You can’t be stuck just seeing the physical infrastructure with no visibility into the software running with virtual machines.Being able to correlate between the performance at both layers enables you to feel comfortable widely leveraging virtualization and achieving an optimized experience.
  • As the saying goes, if you can measure it, you can manage it.This is what Hyperic is all about.A suggested 5 step approach to getting the most from your application monitoring and performance management efforts is to:Identify and Organize your Key Performance MetricsLet your systems run and collect enough performance data that enables you to establish baselinesBased on this insight, you can define your alert criteria and setup automated response and control actionsIn order to coordinate a broader team, you can setup alert escalation workflows that ensure the right people (or systems) are brought in when neededLearn from the data you have collected, and rinse and repeat (i.e. add more KPMs, etc.)
  • As the saying goes, if you can measure it, you can manage it.This is what Hyperic is all about.A suggested 5 step approach to getting the most from your application monitoring and performance management efforts is to:Identify and Organize your Key Performance MetricsLet your systems run and collect enough performance data that enables you to establish baselinesBased on this insight, you can define your alert criteria and setup automated response and control actionsIn order to coordinate a broader team, you can setup alert escalation workflows that ensure the right people (or systems) are brought in when neededLearn from the data you have collected, and rinse and repeat (i.e. add more KPMs, etc.)
  • Auto-DiscoveryWhat is it?Auto-discovery facilitates data collection by automatically determining which pieces of supported software is currently installed and running on the monitored platform, as well as configuration changes to that softwareWhat is the value? Day 0: The ability to get monitoring up and running with VERY LITTLE configuration enables customers to get a tremendous amount of visibility quickly Day 1 to infinity: Autodiscovery monitors for any changes within a managed machine, lowering ongoing maintenance/oversight. Takeaway: Cost of ownership is significantly lower since HQ automatically adjusts to environment changes with very little intervention
  • Alerting and EscalationWhat is it?A feature which notifies specified members of a team when an operational event of interest occurs; enables ability to quickly take action to resolve the issue. Alerts can be fired based on a broad set of information including metrics, log messages and configuration changes. Escalation refers to a workflow which maps to an organization’s chain of command, notifying users in order of criticality when an issue arises. What is the value? Alerting enables the operations team to monitor their applications and infrastructure and only proactively deal with the issues or decisions that actually require their attention or action. This lessens the mean time to repair by quickly pinpointing issues and escalating to the appropriate stakeholders. Takeaway: Alerting is an absolute must have in any production environment in order to quickly triage, analyze and resolve operational issues which are hampering a business.
  • Alerting and EscalationWhat is it?A feature which notifies specified members of a team when an operational event of interest occurs; enables ability to quickly take action to resolve the issue. Alerts can be fired based on a broad set of information including metrics, log messages and configuration changes. Escalation refers to a workflow which maps to an organization’s chain of command, notifying users in order of criticality when an issue arises. What is the value? Alerting enables the operations team to monitor their applications and infrastructure and only proactively deal with the issues or decisions that actually require their attention or action. This lessens the mean time to repair by quickly pinpointing issues and escalating to the appropriate stakeholders. Takeaway: Alerting is an absolute must have in any production environment in order to quickly triage, analyze and resolve operational issues which are hampering a business.
  • Scenario: 4 Apache Web Servers typically serve application needs with no problemsBut…A load balancer was reconfigured and caused major issues with the before of the Apache server farmAll 4 web servers were available so Green lights were there…But only 2 of the 4 were actually handling requests.So 2 spiked up well over average requests per minute and 2 were handling no requestsOnce the load balancer was reconfigured, requests starting flowing to all 4 web servers and requests served per minute returned back to normal stateSo in this case, you ask the question…is there anything else I can bring under management to help avoid and/or identify this issue in the future?
  • In order to ensure applications are aligned with your business goals and are deployed in an agile yet controlled manner, we offer Hyperic.Hyperic is an application management and monitoring solution used by the person within IT responsible for operating modern applications. Hyperic provides the top down visibility and control required to ensure the applications are meetings their service levels.It is fast to deploy and easy to get up, running, and managing your applications.It is built for Web operations, so it gives the level of detail that the person responsible for operating the application requires to ensure it is meeting business goals.This top down, deep visibility into applications enables the operator to manage to their required service levels and triggers alerts and control actions if/when service levels are not being met.Hyperic is built for modern application such as Spring applications and has the ability to manage application infrastructure that spans physical, virtual and cloud environments.This deep visibility within the applications and services as well as across physical, virtual, and cloud infrastructure enables the application operator to answer such questions as:Is application performance within SLAs?What is the source of bottlenecks?How is the underlying infrastructure impacting application response times?Can I automate corrective actions?How can I improve performance?
  • Hyperic does application, specifically, web-based and custom application performance, management and monitoring as a core competency. The large incumbent players in monitoring and management fall short in our area of expertise, but cover additional areas like provisioning, configuration management, and issue tracking; areas where Hyperic is a poor replacement. In large environments, Hyperic is best seen as a part of a much larger eco-system. To enable integration with this eco-system: The HQ API can be leveraged as a means of gather Hyperic information or as a point of control over the Hyperic system. Hyperic can be configured to send or receive SNMP traps. Custom control action scripts that perform actions outside of Hyperic can be added, and run as part of an alert threshold being met.
  • Time to ValueAuto discovery & InventoryEase of Install and MaintenanceExtensibility
  • Now that the Developers have the necessary tools and frameworks to build the new hotel room booking application, they need a platform that can optimally run the application.Modern platforms provide lighter-weight application runtimes, efficiently manage access to large volumes of data, and open up new ways for applications inside and outside the datacenter to communicate through:[CLICK] Lightweight application server that can be instantaneously provisioned and elastically scaled[CLICK] Data management platform that provides real-time access to globally distributed data[CLICK] Cloud-ready messaging service that facilitates communications between applications inside and outside the datacenterMoreover, modern platforms need to be built with performance in mind. By providing transparent visibility into the performance of the applications and underlying infrastructure, new levels of agility can be driven through policy-driven automation and application-level SLAs that drive proactive operational behavior through such services as: [CLICK] Web server / load balancing service that is able to dynamically route requests to an application server for processing[CLICK] Proactive performance management services powered by transparent visibility into applications and infrastructure [CLICK] Policy-based configuration and provisioning services that automate the process of running and managing an application
  • We continue to expand our strategy to deliver cloud platform solutions that can be hosted at customer datacenters or at service providers. By deploying an enterprise-ready solution, based on a lightweight application platform, scalable data platform, and vSphere clouds, customers improve agility, quality of service, and take cost and complexity out of IT operations in an evolutionary way.
  • While the Microsoft ecosystem has a path to cloud (albeit a Microsoft-only path), what is the path to cloud for Enterprise Java?[CLICK]Spring provides that path to the cloud for Java. As we will cover shortly, a cloud application platform comprise of Spring applications powered by VMware application runtime and infrastructure services is one example of this path forward.[CLICK]But also key Cloud market influencers, Salesforce.com and Google, have backed Spring as the Java programming model for the cloud as well. Our partnership with Salesforce.com is on bring VMforce, an enterprise Java cloud platform to market. This will enable developers to create Java Spring applications that leverage the Force.com services such as the multitenant datastore, collaboration, reporting capabilities, etc.We have a technology partnership with Google around Spring as the Java programming model for Google App Engine. We are also tightly intergrating Spring with Google Web Toolkit (GWT) , and integrating Google Speed Tracer with our Spring Insight performance tracing tool. Both of these partnerships are intended to aggressively drive Spring forward as the programming model for Cloud applications.
  • VMware’s Cloud Application Platform addresses the needs of BOTH developers and operations by combining market-leading developer frameworks and tools with integrated application platform services to deliver speed, portability, and optimized use of cloud resources.The Modern Frameworks and Tools enable developers to build innovative new applications in a familiar and productive way while enabling the choice of where to run those applications (inside the datacenter or on private, hybrid, or public clouds). The Modern Platform Services are much more agile and designed for virtualization. Unlike traditional middleware platforms, these platform services provide lightweight footprints that make the best use of the underlying virtual infrastructure platform as well as enable businesses to bring applications to market faster and with less complexity: new applications can be delivered in days or weeks rather than months or years, and at scale.[CLICK]These two layers in our cloud application platform are Spring family of frameworks and tools and the VMware vFabric family of platform services. Let’s take a look at these in a little more detail…
  • The VMware Cloud Application Platform combines the Spring Framework for building new applications together with a complete set of Application Platform Services required to run and manage these applications.[CLICK] Spring Framework: Spring is a comprehensive family of developer frameworks and tools that enable developers build innovative new applications in a familiar and productive way while enabling the choice of where to run those applications, whether inside the datacenter or on private, hybrid, or public clouds. Spring enables developers to create applications that: Provide a rich, modern user experience across a range of platforms, browsers and personal devices Integrate applications using proven Enterprise Application Integration patterns, including batch processing Access data in a wide range of structured and unstructured formats Leverage popular social media services and cloud service API’s[CLICK] VMware vFabric: VMware vFabric is a comprehensive family of application services uniquely optimized for cloud computing including lightweight application server, global data management, cloud-ready messaging, dynamic load balancing and application performance management. [CLICK] The products behind these services include: Lightweight Application Server: tc Server, an enterprise version of Apache Tomcat, is optimized for Spring and VMware vSphere and can be instantaneously provisioned to meet the scalability needs of modern applications Data Management Services: GemFire speeds application performance and eliminates database bottlenecks by providing real-time access to globally distributed data Cloud-ready Messaging Service: RabbitMQ facilitates communications between applications inside and outside the datacenter Dynamic Load Balancer: ERS, an enterprise version Apache web server, ensures optimal performance by distributing and balancing application load Application Performance Management: Hyperic enables proactive performance management through transparent visibility into modern applications deployed across physical, virtual, and cloud environments Policy-Driven Automation: Foundry is the tentative name for a new offering still under development that is focused on policy-based automation of application and platform configuration and provisioning tasks.
  • VMware vFabric provides the application platform services ideally suited to be deployed into VMware-powered Private and Hybrid Clouds.VFabric puts a premium on performance and agility, and maintains a familiar and simple experience that follow a simple three step process:[CLICK]Applications are built in a familiar and productive way. Application architects and operators drive the definition of the “deployment policy” that specifies the Virtual Datacenter to be used, the platform services required and how they are wired together, including external dependencies (such as databases). Policy and SLA information for the app is also specified. The application and its deployment policy are then uploaded.[CLICK] The cloud application platform uses the deployment policy to work in concert with the desired virtual datacenter to automatically configure, provision, and deploy the application and its required application platform services. [CLICK] The platform then runs, manages, and scales the application based on the deployment policy and specified SLAs. Our recent Hyperic 4.4 release was about tightly integrating transparent visibility at the application layer with visibility at the virtual infrastructure layer. This is critical for being able to set policy at whatever level is required.[CLICK]We are also focused on creating an optimized experience when running Spring apps on vSphere. For example, our teams are working on a project called Elastic Memory. Rather than reserving 4GB of RAM for VMs running Java…”just in case” the app may need it , Elastic Memory for Java enables a “just in case” approach by tapping into the memory ballooning mechanisms in vSphere.Net Result? You are able to fit more Java workloads on vSphere due to better memory sharing.
  • Customers want a path to cloud computing and they are looking to VMware to help them set their Private / Hybrid cloud strategy both at the infrastructure layer and at the application platform layer.Many of our enterprise customers are using vSphere and Spring today. For those not at Stage 0, we recommend they get started there.Steps 1, 2, and 3 are about continuing along this journey to being able to embrace a platform that provides cloud-like capabilities within your datacenter or hosted (as part of VMware’s large ecosystem of servive providers such as Savvis, Terremark, etc.).Step 1: While a customer may be already using vSphere, Step 1 is about virtualizing Java workloads. These may be standard Java EE apps running on WebSphere, WebLogic, or JBoss. Hyperic plays a key role in this stage since it provides visibility into these applications running on physical architectures and maintains that level of visibility as these workloads are virtualized. Since about half of the apps deployed onto Java platforms today use Spring, many of these applications, once virtualized, are nicely prepared for Step 2.Step 2: tc server: better place to run their apps and much better suited for virtual. Lightwer weigh, less complex. Optimized for Spring and ideal for virtualized environments. Customers are able to run a higher density of instances of tc Server versus the heavyweight counterparts.Step 3: data management. We have purposely separated the management data away from the application server and have services in GemFire and RabbitMQ that are tightly focused on handling the needs of data management in cloud architectures.Step 4: is embracement of all of the moving parts of the platform and embracing policy-based operational automation capabilities. These capabilities are coming online in early 2011…which fits well with the customer adoption curve.
  • VMware recognizes the critical role our partners play in analyzing, recommending and delivering customer solutions.Last year, based on feedback we received from customers, partners and our own sales teams, we re-structured our overall partner program, now called VMware Partner Network. We did this to ensure we not only provided customers with world-class solutions, but that we provided partners with one of the best partner programs in the industry. We believe the tools, education and incentives available to you will help you increase your profitability as you solve your customers’ business challenges through VMware virtualization solutions.The VMware Partner Network provides programs to support many different partner business models. This presentation will be focused on Solution Providers. If you’re interested in learning more about the other partner types, please go to vmware.com/partners for more information.
  • So lets talk about some of the benefits we provide to our partners as part of the VMware Partner NetworkYou will have access to our best training developed by our Professional Services organization leveraging best practicesYou will have new competency branding you saw earlier which we will actively promote to our customersIntellectual property available to help you build your virtualization practices and utilize proven methodologies.Services intellectual property may include, but is not limited to, methodology, documentation, best practices, consultancy guides.Solution Enablement Toolkits (SET's) are a collection of services intellectual property, sales and marketing collateral, training guides and tools that provide a foundation of material to help productize a solution. Then help you identify, develop, close, and deliver that solution.  
  • This presentation is focused primarily on application infrastructure for the cloud generation of applications.Our agenda, or roadmap if you will, will cover three topics:[CLICK] Briefly cover VMware’s vision for the next decade of information technology and discussing how VMware is taking a uniquely comprehensive approach to enabling the next major era of IT across three major layers:Cloud Infrastructure, Cloud Application Platform, and End User Computing[CLICK] We will then drill down into the cloud application platform and the key drivers we are seeing that are driving requirements in this space[CLICK] And then we will drill down specifically into VMware vFabric, VMware’s cloud application platform solution that: Is comprised of Spring and new VMware vFabric product family: Modern application framework and integrated platform services Maximizes speed and innovation: enabling customers to bring new apps to market faster and with less complexity Extends the benefits of virtualization to the application: Provides an evolutionary path to the cloud whether private, public or hybrid
  • Transcript

    • 1. vFabric SI/SO RoadShow
      vFabric Platform Deep Dive
      April 18th, 2011
    • 2. Session Roadmap
      Cloud Application Platform
      Key Drivers
      VMware’s
      IT as a Service Vision
      VMware vFabric
      Combines Spring framework and tools with vFabric platform services to speed delivery of next-generation apps that are instantly scalable and cloud-portable
    • 3. VMware Solutions for Cloud Computing
      End User
      Computing
      vFabric
      vCloud
      Infrastructure
      3
    • 4. Transitioning from the Old to the New
      Traditional IT
      New IT - PaaS
      • Portable
      • 5. Productive
      Web Servers/Load Balancers
      Build:
      Java
      Spring
      + Blueprint
      App Servers
      Google AE
      Public
      VMForce
      Messaging
      Cache Servers
      PaaS Pool
      Public/Hybrid
      IaaS – vSphere/vCD
      Problems:
      Time
      Cost
      Static
      Provides:
      Self-Service
      Optimization of Resources
      Dynamic
      Database
    • 6. Users are booking rooms
      Use Case: App Intelligence for “Just-in-Time” Infrastructure
      Hotel room promotioncomes online
      Hotel room promotion ends
      Traffic
      Policy-based Capacity
    • 7. VMware vFabric Cloud Application Platform
      Application Infrastructure for the Cloud Generation
      Modern Frameworks and Tools
      • Developer Productivity and Application Portability
      Frameworks and Tools
      Modern Platform Services
      vFabric
      • Optimized Runtime and Accelerated Deployment
      Platform Services
      Virtual Datacenter
      Cloud Infrastructure and Management
    • 8. Spring Is Java Developers’ Choice

      At least 2 million Java developers have some level of proficiency with Spring Core, and this represents at least 50% of enterprise Java developers
      Spring

      Websphere
      WebLogic

      A majority of [enterprise Java] users interviewed by Forrester use Spring


      Half say the adoption of Spring has reduced the time to complete a project by more than 25%, and one in four have reduced the time by over 50%
      Source: Indeed.com Job Trends, Feb 2010

    • 9. Innovation Reigns Supreme
      Web
      Cloud Platform Services
      Batch
      Social Media
      Security
      Mobile
      Integration
      8
    • 10. Spring Ref Arch: Robust Web 2.0 Applications Built for Scale
      HQ Agent
      HQ Agent
      Application Responses
      REST / MVC
      Plugin
      Mobile &
      Security
      App
      Controller
      Social &
      Web Services
      X
      X
      GORM
      RabbitMQ
      Plugin
      App Cache
      Grails
      Spring
      RPC Broker
      tc Server
      tc Server
      Application Requests
      Web Application Server
      Web Application Server
      File
      Systems
      Website
      Analytics
      HQ Server
      Data
      Cache
      RDBMS
      tc Server
      tc Server
      Other
      Data
      Systems
      Data Cache Server
      Management Server
    • 11. Spring Ref Arch: Enterprise Integration in the Cloud
      HQ Agent
      HQ Agent
      Application Events
      SI Flow
      SI Flow
      X
      X
      App Cache
      App Cache
      Spring
      Spring
      RPC Broker
      tc Server
      tc Server
      Application Events
      Application Server
      Application Server
      File
      Systems
      Bus Trans
      Monitoring
      HQ Server
      Data
      Cache
      RDBMS
      tc Server
      tc Server
      Other
      Data
      Systems
      Data Cache Server
      Management Server
    • 12. Spring Ref Arch: Distributed Partitioned Batch Processing
      Scheduler
      Launch
      Script
      HQ Agent
      HQ Agent
      Partition Responses
      Batch
      Admin
      Controller
      App
      Controller
      Batch
      Admin
      Controller
      App
      Controller
      X
      X
      Partition
      Handler
      Aggregator
      App Cache Partition
      Spring
      Spring
      RPC Broker
      tc Server
      tc Server
      Partition Requests
      Batch Server
      Batch Server
      File
      Systems
      Batch
      Admin
      HQ Server
      Data
      Cache
      RDBMS
      tc Server
      tc Server
      Other
      Data
      Systems
      Data Cache Server
      Management Server
    • 13. VMware vFabric Cloud Application Platform
      Application Infrastructure for the Cloud Generation
      Modern Frameworks and Tools
      • Developer Productivity and Application Portability
      Frameworks and Tools
      Modern Platform Services
      vFabric
      • Optimized Runtime and Accelerated Deployment
      Platform Services
      Virtual Datacenter
      Cloud Infrastructure and Management
    • 14. Is a New Style of Infrastructure Needed?
      We need a platform that can Run these new apps.
      Dynamic Load Balancing
      Elastic App Server
      Performance Management
      Global Data Management
      Developers & Architects
      And… IT Operations
      Policy Driven Automation
      Cloud Messaging
    • 15. Tomcat
      tc Server
      JEE Server
      Elastic Application Server: Lightweight Application Platform
      Lightweight App Container
      Heavyweight App Container
      Enterprise Capabilities
      Enterprise Capabilities
      (?)
      tc Server is Enterprise Tomcat – The best of both worlds
      Optimized for Cloud/Virtualization
      Same great high performance, low complexity, lean platform (10 MB Server)
      Best platform to run Spring (or any non-EJB Java) applications on
      Has Features/Capabilities Enterprises need and expect
      Management, Monitoring, Diagnostics, Support
    • 16. SpringSource tc Server: Key Highlights
      Familiar Spring + Tomcat experience
      Deep performance insight into Spring apps
      Agile Spring development experience via STS
      Developer
      Efficiency
      Performance & SLA management of Spring apps
      Application provisioning and server administration
      Rich alert definition, workflows, and control actions
      Group availability & event dashboards
      Secure unidirectional agent communications
      Operational
      Control
      Lean server (10 MB) ideal for virtual environments
      Template-driven server instance creation
      Integrated experience with VMware environments
      Open, secure API for all operations
      Deployment
      Flexibility
    • 17. SpringSource tc Server: Key Highlights
      Familiar Spring + Tomcat experience
      Deep performance insight into Spring apps
      Agile Spring development experience via STS
      Developer
      Efficiency
      Performance & SLA management of Spring apps
      Application provisioning and server administration
      Rich alert definition, workflows, and control actions
      Group availability & event dashboards
      Secure unidirectional agent communications
      Operational
      Control
      Lean server (10 MB) ideal for virtual environments
      Template-driven server instance creation
      Integrated experience with VMware environments
      Open, secure API for all operations
      Deployment
      Flexibility
    • 18. Developer Efficiency: Deep Performance Insight into Spring Apps
    • 19. Developer Efficiency:Deep Performance Insight into Spring Apps
      (cont’d)
    • 20. Rich visual tools for rapidly building modern applications
      Spring 3.0, Spring Roo, Groovy & Grails tools
      Encourages agile development and testing
      Tight integration with tc Server minimizes application redeploys/restarts
      Links performance issues to code traces highlighted in Spring Insight
      Supports flexible deployment targets
      tc Server, Java EE servers, VMware, Cloud, etc.
      SpringSource Tool Suite
      Spring Roo
      Grails
      Spring
      (Core, Rich Web, Integration)
      Groovy
      Java
      tc Server
      (Spring Insight)
      Developer Efficiency:Agile Spring Development Experience
    • 21. SpringSource tc Server: Key Highlights
      Familiar Spring + Tomcat experience
      Deep performance insight into Spring apps
      Agile Spring development experience via STS
      Developer
      Efficiency
      Performance & SLA management of Spring apps
      Application provisioning and server administration
      Rich alert definition, workflows, and control actions
      Group availability & event dashboards
      Secure unidirectional agent communications
      Operational
      Control
      Lean server (10 MB) ideal for virtual environments
      Template-driven server instance creation
      Integrated experience with VMware environments
      Open, secure API for all operations
      Deployment
      Flexibility
    • 22. Operational Control: Production Deployment Architecture
      Server 1
      Server 1
      Server 2
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      tc Server
      Instance 1
      Management Server
      Administration, Provisioning, Groups, Metrics, Alerts, Events, Access Control, Agent Upgrades, etc.
      Web
      Dashboard
      Spring
      Agent
      Agent
      Agent
      Open API
      Spring
      Spring
      Spring
      Inventory, Metric, Audit, …
      Seamlessly Upgradeable
      Spring
      Hyperic Monitoring
      Web Servers, App Servers, Databases, Caching, Messaging, Directories, Virtualization, etc.
    • 23. Apache Tomcat
      Servlet 2.5 (JSR 154)
      Java Server Pages 2.1 (JSR 245)
      Clustering Features
      Session & context attribute replication
      Load balancing
      Improved over Tomcat 5.x
      Advanced I/O Features
      Improvements in Memory Usage
      Stable, Fast, Lightweight
      Tomcat Compatibility
      Runs existing Tomcat applications
      Leverages existing skill-sets
      Enterprise Capabilities
      Run multiple instances per install
      Centralizes tc Server install/updates
      Enterprise-ready stable release
      Security vulnerabilities & bug fixes
      Fixes will be in upstream open source release
      Built, certified and pre-tuned
      Advanced Scalability Options
      Non-blocking (NIO) connectors
      High concurrency connection pool
      Advanced Diagnostics
      Detects deadlocks and slow running requests
      Provides access to SQL behind slow requests
      Identifies time spent in garbage collection
      Operational Control: Enhanced Tomcat-compatible Server
    • 24. Operational Control: Application Provisioning
      Provision applications to single server or group of servers
      Manage deployed applications
      View application status
      Start, stop, reload, and undeploy applications
    • 25. Operational Control: Server Administration & Configuration
      Centralized administration of server configuration and defaults
      Out of box pre-tuned configurations
      JVM Options, production configurations, automated boot scripts, Windows service wrapper
      Server Instance Templates
    • 26. Operational Control: Performance & SLA Mgmt of Spring apps
      Automatically Monitor Application, Data Access, Custom Components
      @Controller, @Service, @Component, @Transactional, @Repository, @ManagedResource
      Executions Per Second, Average Execution Time, Maximum Time, Minimum Time, etc.
      Monitor Performance and Execute Control Operations inside Spring
      Transaction Manager, Hibernate Session, Message Listener, JMS, JavaMail, Thread Pool, etc.
      Start/Stop Listener, Set Max Messages, Set Receive Timeout, Set Pool Size, Set Keep Alive, etc.
    • 27. Operational Control: Performance & SLA Mgmt of Spring apps
      (cont’d)
      Monitor Application Server Status, Health, and Response Times
      Availability, Throughput, Utilization, Connection & Thread Pool Health, Deadlock Detection, Garbage Collection
    • 28. Operational Control: Alert Workflows and Control Actions
    • 29. SpringSource tc Server: Key Highlights
      Familiar Spring + Tomcat experience
      Deep performance insight into Spring apps
      Agile Spring development experience via STS
      Developer
      Efficiency
      Performance & SLA management of Spring apps
      Application provisioning and server administration
      Rich alert definition, workflows, and control actions
      Group availability & event dashboards
      Secure unidirectional agent communications
      Operational
      Control
      Lean server (10 MB) ideal for virtual environments
      Template-driven server instance creation
      Integrated experience with VMware environments
      Open, secure API for all operations
      Deployment
      Flexibility
    • 30. Deployment Flexibility: tc Server Instance Templates
      Streamlines process of spinning up new server instances
      Script-driven templates deliver uniquely named server instances in seconds
      Run multiple instances based on a single set of server binaries
      Pre-packaged templates for popular configurations provided out of the box
      Separates server runtime, configuration, and applications in a way that makes testing changes and making updates a breeze
      Instance templates contain:
      Server, web, and context configuration files
      Parameterized properties files (ex. ports, etc.)
      Custom scripts, custom shared resource libraries, etc.
      Web applications (ex. Spring Insight)
      Example use cases:
      Dev, QA, Performance Test, Staging, and Production templates
      Templates for multiple instances on a machine serving a specific application
    • 31. Deployment Flexibility: tc Server Instances (large physical box)
      tc Server
      Instance X
      tc Server
      Instance 1
      tc Server
      Instance m
      . . .
      Spring
      Spring
      Spring
      Spring
      Spring
      . . .
      tc Server ver Y
      (shared binaries)
      tc Server ver X
      (shared binaries)
      Operating System & JVM
      Single lightweight (10MB) install for multiple running instances
      Shared binaries eases upgrades of all instances
      Separates configuration and code from server runtime
      Multiple server versions can be installed per machine
    • 32. Medium Virtual Machine
      Deployment Flexibility: tc Server Instances (virtualized platform)
      tc Server
      Instance 1
      tc Server
      Instance m
      . . .
      Small VM
      Small VM
      Spring
      Spring
      Spring
      Spring
      tc Server
      (shared binaries)
      tc Server
      tc Server
      OS & JVM
      OS & JVM
      Operating System & JVM
      Virtual Infrastructure Platform
      Complete flexibility to deploy large, medium, and small “machines”
      Lightweight footprint ensures maximum resource utilization
    • 33. Is a New Style of Infrastructure Needed?
      We need a platform that can Run these new apps.
      Dynamic Load Balancing
      Elastic App Server
      Performance Management
      Global Data Management
      Developers & Architects
      And… IT Operations
      Policy Driven Automation
      Cloud Messaging
    • 34. Data in the Cloud
      tc Server
      Spring Edition
      Hyperic &
      Spring Insight
      Your Java
      Spring App
      Trace, Monitor, Alert, Manage
      Built with
      SpringSource Tool Suite
      Lightweight App Runtime
      Session & Object/Data Store,
      Geo Replication & Partitioning, Active Queries & Notifications, …
      GemFire Enterprise
      Distributed Data Fabric
      GemFire Data Management
      Other Data Systems
      File Systems
      Databases
    • 35. Yet Another Piece of Middleware?
      Why YAPOM ?
      Execution Excellence
      Make your applications run 4 to 40 times faster
      Ingest / Digest / Distribute vast amounts of data with extremely low latency
      Higher ROI of IT investments & Lower Cost Per Transaction
      A 4x Performance Increase is like getting 3 free computers that take no space or electricity
      Enables applications to survive network outages and distressed networks
      Data Awareness – especially across applications/systems
      Supports High Availability, Fault Tolerance, and Site Failover with zero additional design/development costs
    • 36. What is GemFire?
      Database
      + Service Bus
      + Messaging System
      + Complex Event Processor
      + Grid Controller
      • Task Decomposition
      • 50. Distributed Task Assignment
      • 51. Map-Reduce, Scatter-Gather
      • 52. Business Event Detection
      • 53. Result Summarization
      • 54. Real-time Analysis
      • 55. Event Driven Architectures
      =
      GemFire combines select features from all of these products and combines them into a low-latency, linearly scalable, memory-based data fabric
    • 56. Open PaaS : Productivity, Portability and Scalability
      VMware vSphere Infrastructure Platform
      Private
      SpringSource Application Platform
      GemFire Data Virtualization Platform
      Your Java Spring App
      Powered by VMware & Salesforce technology
      Build applications using familiar Spring skills and the SpringSource Tool Suite Eclipse IDE
      Public
      Other Platforms
      Deploy your apps to the Private or Public platform of your choice
    • 57. Scaling the Tiers
      The web and application tiers can be easily combined and virtualized. Nodes can be added or removed on the fly.
      Load Balancer
      Add/remove web/application servers
      Web Tier
      Application Tier
      The database only grows by moving the VM to a larger machine
      Database Tier
      The disk systems can be virtualized and can grow on demand
      Storage Tier
    • 58. Legacy Database Clustering Strategies
      A
      B
      C
      D
      A
      B
      C
      D
      Legacy database clustering technologies tend to be either:
      Statically Partitioned
      • Failure of Server A will double workload on Server B
      • 59. Failure of Server A and Server B makes some data unavailable
      • 60. Rebalancing requires taking database offline
      Shared Everything
      • All servers must co-ordinate activity
      • 61. Must acquire distributed locks on data for update
      • 62. Scalability is not linear and limited to a handful of nodes
      • 63. Failure to synchronize activity can crash the entire cluster
    • Linear Scalability
      GemFire can achieve near linear scalability with nodes that can be added or removed on the fly.
      Scale
      Add/remove web/application/data servers
      Disks may be direct or network attached
      Web, Application and Data tiers can be collapsed into a single virtual machine.
      Optional reliable, asynchronous feed to Data Warehouse or Archival Database
    • 64. Memory-based Performance
      GemFire uses memory on a peer machine to make data updates durable, allowing the updating thread to return 10x to 100x faster than updates that must be written through to disk, without risking any data loss. Typical latencies are in the few hundreds of microseconds instead of in the tens to hundreds of milliseconds.
      Perform
      GemFire can optionally write updates to disk, or to a data warehouse, asynchronously and reliably.
    • 65. Data-Aware Function Routing
      Data Aware Function
      Execute
      Batch Controller or Client
      Scatter-Gather (Map-Reduce) Function
      GemFire provides ‘data aware function routing’ – moving the behavior to the correct data instead of moving the data to the behavior.
    • 66. Data Distribution
      Distribute
      GemFire can keep clusters that are distributed around the world synchronized in real-time and can operate reliably in Disconnected, Intermittent and Low-Bandwidth network environments.
    • 67. GemFire virtualizes the database into the application tier
      Cloud Ready
      Add/remove web/application/data servers
      Add/remove disk
      GemFire server is a small Java jar file that can be easily deployed with Java applications.
      Optional reliable, asynchronous feed to Data Warehouse or Archival Database
    • 68. Is a New Style of Infrastructure Needed?
      We need a platform that can Run these new apps.
      Dynamic Load Balancing
      Elastic App Server
      Performance Management
      Global Data Management
      Developers & Architects
      And… IT Operations
      Policy Driven Automation
      Cloud Messaging
    • 69. More Than Just Data – How do I Distribute Cloud Information?
      Application Data Lives Here
      Application MessagingThat Won’t Fail
      RabbitMQ Message Bus
      Application Data Sleeps Here
      GemFire Data Fabric
      File Systems
      Applications
      Databases
      Devices
      Other Systems
      Cloud Services
    • 70. Who uses AMQP
      Over 500 known commercial users recorded by AMQP vendors, examples:
      National Science Foundation OOI Cyber infrastructure
      Frankfurt Stock Exchange
      “EUREX 12 is FIXML over AMQP Eurex is the very first exchange to introduce AMQP as a standard protocol on its system, thus easing the monitoring of positions and risk related data for its members and ensuring market integrity for all participants.”
      JPMorgan sends 1 billion AMQP messages per day
      60 production system (50% CAGR, unforced)
      NASA’s Nebula Cloud Computing project
      Second Life
      Developer clouds: VMforce, Engine Yard, Joyent, Heroku
    • 71. Basic use cases
      Event
      I need to know when to do something
      Data fragment
      I need to give you a piece of this data without you needing to understand the whole schema
      Routing
      Control who gets which message, without changing sender and receiver
      Publish
      Tell everyone who wants to know about this
      Batch
      Producer and consumer can run at independent times
      Load share
      Add more consumers to scale up
    • 72. Where AMQP fits
      What goes in here will clean up if it is
      OPEN,
      UBIQUITOUS,
      & ADAPTABLE
      async
      sync
      reliable
      unreliable
      copyright (c) Rabbit Technologies Ltd.
    • 73. How AMQP works
      • Each message is stateless
      • 74. Consumers create queues; these buffer messages for push to consumers
      • 75. Queues are stateful, ordered, and can be persistent, transient, private, shared.
      • 76. Exchanges are stateless routing tables.
      • 77. Consumers tell queues to bind to named exchanges; each binding has a pattern e.g. “tony” or “*.ibm.*”
      • 78. Producers send messages to exchanges with a routing key e.g. “tony”, or ordered set of keys e.g. “buy.ibm.nyse”
      • 79. Exchanges route messages to queues whose binding pattern matches the message routing key or keys
    • 50
      Architectures you can build with AMQP
      copyright (c) Rabbit Technologies Ltd.
    • 80. Rabbit is great for developers
      Developer platform integration
    • 81. Is a New Style of Infrastructure Needed?
      We need a platform that can Run these new apps.
      Dynamic Load Balancing
      Elastic App Server
      Performance Management
      Global Data Management
      Developers & Architects
      And… IT Operations
      Policy Driven Automation
      Cloud Messaging
    • 82. Is a New Style of Infrastructure Needed?
      We need a platform that can Run these new apps.
      Dynamic Load Balancing
      Elastic App Server
      Performance Management
      Global Data Management
      Developers & Architects
      And… IT Operations
      Policy Driven Automation
      Cloud Messaging
    • 83. Need: Measure & Manage Custom Apps Against Business Goals
      Web-based Application Infrastructure
      End-user
      App Server
      Web Server
      Database
      Is performance within SLAs?
      What is source of bottlenecks?
      How is infrastructure impacting application response times?
      Can I automate corrective actions?
      How can I improve performance?
      App Server
      Physical or Virtual Infrastructure
    • 84. Need: Go Beyond Red Light, Green Light Availability
    • 85. Need: Application Visibility Across Physical and Virtual Worlds
    • 86. If You Can Measure It, You Can Manage It
    • 87. If You Can Measure It, You Can Manage It
    • 88. Identifying Key Performance Metrics
      Is trouble coming?
      Are we meeting obligations?
      How can unique knowledge help?
    • 89. What to Measure for Custom Developed Applications?
    • 90. Examples of Collected Metrics
    • 91. Track Events Alongside Collected Metrics
      Event Tracking and Correlation
      Provides history of log, configuration, alert and security events with performance data.
    • 92. Hyperic Inventory and Configuration Tracking
      Maintain exact, real-time inventory of resources
      Hyperic Auto-Discovery
      Continuously runs to discover new inventory and modified inventory properties such as IP set changes or configuration changes. These too can be used as the basis for alerts.
    • 93. Group Resources to Understand Real Utilization
      Create groups to determine if problems are localized
      Create groups for like resources, e.g., all web servers
      Create groups that share a dependency, e.g., that share a similar host
      Remote Diagnostics
      Hyperic HQ allows users to run real-time diagnostics like cpuinfor, cpuperc, df, top, netstat, ifconfig, and who across groups and operating systems simultaneously.
    • 94. If You Can Measure It, You Can Manage It
    • 95. Perform Trend Analysis
      Ensure all applications are fully instrumented for monitoring
      Monitor INSIDE and OUTSIDE the virtual machines
      Establish as long of a history as possible
      • Long history provides more time and information to triage quickly
      • 96. Start during test
    • Correlate Performance Across Physical & Virtual
      Answer the question, “What Changed?”
      Was there a spike in traffic?
      Did someone add a new component or application?
      How quickly has performance degraded?
      Bridge the gap between virtual and physical
      • Compare guest & host metrics
      • 97. CPU, Memory, Disk utilization
      • 98. Relate Physical & Virtual Performance to Individual Applications
      Hyperic virtualization plugins
      Collect metrics inside and outside the VMs, and monitors consumption by both allocation and availability.
    • 99. Establish Baselines and Automate Anomaly Detection
      Automatic baseline calculation for dynamic metrics
      Out-of-Band Metrics Identified and Bubble-up to Dashboard
      Hyperic Enterprise SmartTrendBaselines performance over any given period, and these baselines can be used to set alerts.
    • 100. If You Can Measure It, You Can Manage It
    • 101. Define Alert Conditions and Automated Response
      Control Actions
      Any script can be run remotely from Hyperic HQ and will be logged with the event history of the resource. With Hyperic HQ Enterprise these can be scheduled or run as a response to an alert.
    • 102. Automate Response via Control Actions & Scripts
    • 103. Define a Recovery Alert
      Opposite Condition to Problem
      Link to Problem Alert
      This Is Set on Problem Alert. Not Available for Recovery Alert Definition
    • 104. Example Alert-based Actions
      Stop or Restart a Problem Service
      Remove Server from Load Balancer Configuration
      Execute External Process Script
      Issue Remote API Calls
      Integrate with Issue Tracking System
      Scale Server Deployment (e.g. add additional VMs to handle load)
      Perform Actions Against HQ API
    • 105. If You Can Measure It, You Can Manage It
    • 106. Establish Support Escalation Workflows
    • 107. Example Escalations
      Defcon 1: Page on-call and email ops, wait 5 minutes, then page all.
      High Priority: Page on-call and email ops every 30 minutes
      Med Priority: Email ops every 4 hours
      Med Priority w/ Suppress: Suppress for 20 minutes, then email ops every 4 hours
      Low Priority: Email ops every 24 hours
      Low Priority w/ Suppress: Suppress for 20 minutes, then email ops every 24 hours
      Low Priority no Email: Used for warnings in Ops Center only, no notification
    • 108. Acknowledge Escalation and Suspend Actions
    • 109. If You Can Measure It, You Can Manage It
    • 110. Learn from Gathered Metric Data
      Discrepancies in behavior among identical Apache servers
      Load balancer configuration the culprit: Expected results following fix
    • 111. If You Can Measure It, You Can Manage It
    • 112. Hyperic Provides Top Down Visibility to Meet Goals
      Modern Application Management
      Monitoring for custom applications
      Best tool to manage Spring apps
      Top to bottom insight and control
      Deep visibility into applications & services
      Spans physical, virtual, and cloud
      Managing The World’s Largest Infrastructure
    • 113. Where Hyperic Fits in Management Architecture
      Monitor of Monitors
      Other Infrastructure
      Management
      Hyperic
      Provisioning /
      Configuration
      Management
      External
      Authentication
      Integration with Hyperic via:
      Ticketing /
      Process Management
    • 116. Hyperic Architecture Overview
      User Interface
      HQ Database
    • 117. Hyperic Server Considerations for Production
      Application Server Sizing
      CPU
      Memory
      Database Server Sizing
      Disk I/O
      Other Considerations
      Firewalls and other Security Software (agent and server)
      User Accounts
      Use of a Virtual IP Address
      HA Configuration
    • 118. Lessons From Hyperic QA on Server Sizing
      Performance test environment H/W config:
      Dual Quad Core CPUs
      16 GB of RAM (2 - 6GB dedicated to JVM heap, depending on what is being tested)
      Standalone MySQL DB w/ 7 disk RAID0 Array
      Our test profile includes:
      1000 platforms
      4000 servers
      10000 services
      100K to 150K metrics/min
      20000 to 50000 alert definitions
    • 119. Hyperic Agent Architecture: Open Plugin Flexibility
    • 120. Agent Upgrades via Hyperic UI
    • 121. Push Plugins via Hyperic UI
    • 122. Data Collection via the Hyperic Agent
    • 123. Anatomy of a Custom Plugin
    • 124. System Information Gatherer and Reporter (SIGAR) In-Depth
    • 125. Is a New Style of Infrastructure Needed?
      We need a platform that can Run these new apps.
      Dynamic Load Balancing
      Elastic App Server
      Performance Management
      Global Data Management
      Developers & Architects
      And… IT Operations
      Policy Driven Automation
      Cloud Messaging
    • 126. Private Application Cloud Platform Vision
      Your Java
      Spring
      App
      Load Balancer
      Deployment Policy
      Configure, Provision, Control
      Trace, Monitor, Alert
      Elastic App Runtime
      App and deployment policy uploaded to Cloud platform
      Platform configures required services and provisions app
      Launch application
      Inventory
      Messaging Service
      In-Memory SQL
      Elastic Data Fabric
      Policy-based Infrastructure Platform & Resource Pools
      (vSphere , vCloud Director)
    • 127. Cloud Foundry
      Initially, CloudFoundry.com supports Spring for Java apps, Rails and Sinatra for Ruby apps, Node.js apps and apps for other JVM frameworks including Grails. Cloud Foundry also offers MySQL, Redis, and MongoDB data services.
      Open PaaS offering from VMware
      Currently in Beta
      Three Primary Flavors
      CloudFoundry.com – Complete Hosted PaaS
      CloudFoundry.org – The Community Site
      Cloud Foundry Micro-Cloud – PaaS for the Enterprise
    • 128. Market Has Chosen Spring As Path Forward for Enterprise Java
      “In partnership with VMware, we are bringing Spring to Force.com.”
      “With VMware, we are making it easy for developers to create Spring Java apps in the cloud.”
      2.5 million
      Spring Developers
      vFabric
    • 129. VMware vFabric Cloud Application Platform
      Application Infrastructure for the Cloud Generation
      Modern Frameworks and Tools
      • Developer Productivity and Application Portability
      Frameworks and Tools
      Modern Platform Services
      vFabric
      • Optimized Runtime and Accelerated Deployment
      Platform Services
      Virtual Datacenter
      Cloud Infrastructure and Management
    • 130. VMware vFabric Cloud Application Platform
      Application Infrastructure for the Cloud Generation
      Integration
      Data Access
      Rich Web
      Batch
      Cloud APIs
      Social Media
      Frameworks & Tools
      vFabric
      Platform Services
      Dynamic Load Balancer
      Performance Management
      ERS (Apache)
      Hyperic
      Elastic
      App Server
      tc Server
      Policy-driven Automation
      vFabricAppDirector
      Global Data Management
      GemFire
      Cloud Messaging
      RabbitMQ
      Virtual Datacenter
      Cloud Infrastructure and Management
    • 131. vFabric Vision: Optimized Cloud Infrastructure
      VMware vFabric
      Application Runtime
      and Data Services
      Application
      Deployment
      Policy
      Elastic Resource
      Utilization
      Build your application
      Configure and deploy
      Virtual Datacenter
      Infrastructure Platform & Resource Pools
      Transparent Visibility
      Policy-driven Automation
      Run and scale
    • 132. Evolutionary Approach to Cloud Application Platform
      4
      3
      Cloud Platform
      Cloud Data Management
      2
      Cloud App Runtime
      VM
      1
      Stage
      vFabric
      tc Server
      Virtualized Applications
      VM
      App Server
      0
      Virtualization & Spring
    • 133. vFabric Resources
      • Partner Central
      • 134. Partner Central: http://www.vmware.com/go/learnvfabric
      • 135. vFabric Overview, PaaS Whiteboard, tcServer Demo, Hyperic Demo, Gemfire Presentation
      • 136. SME Email List for Technical Questions
      • 137. SME-SpringSource@vmware.com
      Webinars
      http://www.springsource.com/newsevents/webinars
      Avoid Pitfalls when Monitoring a Virtualized Environment
      Next-Generation Data Management in the Cloud for Java Apps
      Best Practices for Virtualizing Java Workloads
      Performance Tuning Production tc Server: Tuning for Throughput & Scale
      Upcoming: The NPC Story - Speedier Apps, Minimal Downtime, Lower Cost
    • 138. VMware’s Commitment to Partners
    • 139. Solution Provider Benefits Include...
      Training and Education
      Sales Engagement
      Branding
      and Customer Recognition
      Incentives/ Margin
      Intellectual Property & SET’s
      Demand Generation
      NFR & IUL Software
    • 140. Temporary Program for Net New VMware vFabric Partners
      LEVEL
      REQUIREMENT
      Application/Agreement: Sign & Complete
      Ability to Sell: ACE, Workstation, Fusion, vSphere Essentials & Essentials Plus
      REGISTERED
      Go to www.vmware.com
      Partners- > Partner Programs
      Solution Provider - > Registered
      Apply Now
      Fill in the Details and Submit
    • 141. Sign up for Partner Central and Partner University
      Partner Central is the exclusive online information resource, providing a single dedicated web portal for all VMware Partners.
    • 142. Key Takeaways
      Cloud Application Platform
      Key Drivers
      VMware’s
      IT as a Service Vision
      VMware vFabric
      Combines Spring framework and tools with vFabric platform services to speed delivery of next-generation apps that are instantly scalable and cloud-portable
    • 143. Questions?
      vFabric Platform Deep Dive
      April 18th, 2011
    • 144. Appendix A
      Use Cases
    • 145. tcServer Successes
    • 146. Case Study – From Level 0 to Level 1.5
      About the Company
      The Digital Services Division (DSD) of Associated
      Newspapers (ANL) provides all online development and infrastructure services to ANL’s online
      portfolio of newspaper web sites. This includes
      the Daily Mail, UK’s largest online newspaper
      website, as well as Evening Standard, This Is
      Money, Metro and 150+ regional sites. ANL’s goal
      is to deliver websites that offer an engaging and
      satisfying experience for users and measurable
      commercial benefits to advertisers. ANL is part of
      the Daily Mail and General Trust plc.
      Moved from Traditional to Elastic Application Server
      Benefits:
      • Faster Testing and Live Deployments –
      • 147. From Hours to Minutes
      • 148. Rapid Turnaround on Production Fixes
      • 149. Proactive Problem Solving
      • 150. H/A – 100% Uptime on Website
      • 151. Improved Performance – 3X
      • 152. Reduced Server Costs
      Notable Quote
      “In the newspaper environment, we constantly need to find new and innovative ways to monetize our content,” Perkinson continues.
      “Ideas for new features are coming through all the time, and for us to be able to turn those features around and get them to market quickly is absolutely key. But with Oracle WebLogic, developers were constantly task switching while waiting for Oracle WebLogic to deploy and start up our applications after each test and staging release.”
    • 153. Case Study – Level 0 to Level 2
      NPC International, based in Overland Park, Kansas, is the largest Pizza Hut franchisee in the world and is owned by Merrill-Lynch Global Private Equity Group. NPC International connects to its 1,200 restaurants across the US via a web application deployed through the local POS system, providing a variety of essential corporate functionality such as payroll, vacation requests, compliance management, invoice approval and online employee training. The web-based system must be kept running at top performance to handle 170,000 page views per day by NPC International users.
      Benefits:
      • Enhanced Application Performance
      • 154. High Availability
      • 155. Increased Developer Productivity
      • 156. Greater Scalability and Improved User Experience
      • 157. Virtual Cloud Infrastructure
      • 158. Reduced Server Costs by 75%
      Virtual Cloud Infrastructure
      tcServer has enabled NPC International to implement an internal, private cloud of VMware-based virtual server resources, to maximize efficient usage of existing infrastructure. Because tc Server’s footprint is small, 12 tc Server instances are running on a single physical box, with additional capacity available to install more tc Server instances when needed. Consequently, tc Server enables NPC International to maximize internal server resources by eliminating the multiple machines necessary to run numerous application servers.
      “I could not have deployed the applications within VMware-based virtual machines without tc Server,” Brisbin says. “I need a small, lightweight server that starts in a few seconds. I need to run several instances so I can make use of all the CPU resources.”
      Confidential
      110
    • 159. GemFire Successes
    • 160. Use Case - ForEx
      real-life use case: Global Foreign Exchange Trading System
      The project achieved:
      • Low-latency trade insertion
      • 161. Permanent Archival of every trade
      • 162. Kept pace with fast ticking market data
      • 163. Rapid, Event Based Position Calculation
      • 164. Distribution of Position Updates Globally
      • 165. Consistent Global Views of Positions
      • 166. Pass the Book
      • 167. Regional Close-of-day
      • 168. High Availability
      • 169. Disaster Recovery
      • 170. Regional Autonomy
    • real-life use case: Global Foreign Exchange Trading System
      Use Case - ForEx
      In that same application, GemFire replaced:
      Oracle Database In Every Region
      Still need 1 instance for archival purposes
      TIBCO Rendezvous for Local Area Messaging
      IBM MQ Series for WAN Distribution
      Veritas N+1 Clustering for H/A
      In fact, we save the physical +1 node itself
      3DNS or Wide IP
      Admin personnel reduced from 1.5 to 0.5
    • 171. real-life use case: Event-driven Risk and Pricing
      Use Case – Event Management
      Batch processing delays were costing money
      and limiting opportunities
      Running Pricing and Risk calculations in batch mode required special applications to be written that created a ‘buffers’ to ensure that regulatory obligations were not violated (BASEL II regulations).
      An initial attempt to produce event-detection processing on legacy technology would not scale. Only 43 priority products could be managed – other products could not take advantage of a known tactical advantage.
    • 172. real-life use case: Event-driven Risk and Pricing
      Use Case – Event Management
      "The breakthrough for this tool came when we decided to put the event detection logic into our pricing models"
      Derek Joyce
      Chief Business Technologist for Equity Derivatives
      JPMorgan investment Bank
      Built and deployed the Event Workstation project in under 12 months
      Features: Real-time event detection, easier integration of new products, and control workflow to minimize business risk and meet all regulatory requirements
      Trader UI queries reduced from 20 minute to under 5 second response time
      8 CPUs re-price 6000 complex and exotic instruments in under 3 minutes
    • 173. Use Case – Mainframe Migration
      real-life use case: Mainframe-based Nightly Batch Run
      I/O Wait
      9%
      CPU Busy
      15%
      A mainframe-based, nightly customer account reconciliation batch run
      0
      120
      60
      min
      CPU Unavailable
      15%
      Mainframe
      Batch now runs in 60 seconds
      COTS Cluster
      93% Network Wait! Time could have been reduced further with higher network bandwidth
    • 174. real-life use case: Mainframe-based Nightly Batch Run
      Use Case – Mainframe Migration
      So What? So the batch runs faster – who cares?
      It ran on cheaper, modern, scalable hardware
      If something goes wrong with the batch, you only wait 60 seconds to find out
      Now, the hardware and the data are available to do other things in the remaining 119 minutes:
      • Fraud detection
      • 175. Regulatory compliance
      • 176. Re-run risk calculations with 119 different scenarios
      • 177. Up sell customers
      You can move from batch to real-time processing!
    • 178. real-life use case: Web 2.0 Portal – Customized ads
      Use Case – Web Portal
      1
      2
      3
      4
      A popular online gambling site attracts new players through ads on affiliate sites
      Customized Banner Ad on affiliate site
      In a fraction of a second, the banner ad sever must:
      Generate a tracking id specific to the request
      Apply temporal, sequential, regional, contractual and other policies in order to decide which banner to deliver
      Customize the banner
      Record that the banner ad was delivered
      Banner Ad Server
      Affiliate's Web Server
    • 179. real-life use case: Web 2.0 Portal – Customized ads
      Use Case – Web Portal
      Their initial RDBMS-based system
      Limited their ability to sign up new affiliates
      Limited their ability to add new products on their site
      Limited the delivery performance experienced by their affiliates and their customers
      Limited their ability to add additional internal applications and policies to the process
      Their new GemFire-based system
      Responded with sub-millisecond latency
      Met their target of 2500 banner ad deliveries per second
      Provides for future scalability
      Improved performance to the browser by 4x
      Cost less
    • 180. real-life use case: DISA / DOD Global Command and Control
      Use Case – Asset/Position Monitoring
      Centralized data storage was not possible
      Multi-agency, multi-force integration
      Numerous Applications needed access to multiple data sources simultaneously
      Networks constantly changing, unreliable, mobile deployments
      Upwards of 60,000 object updates each minute
      Over 70 Data feeds
      Needed a real-time situational awareness system to track friendly assets and enemy assets
      that could be used by all of the war fighters in theatre
      Northrop Grumman (integrator) investigated the following technologies before deciding on GemFire
      • RDBMS – Oracle, Sybase, Postgres, TimesTen, MySQL
      • 181. ODBMS - Objectivity
      • 182. jCache – GemFire, Oracle Coherence
      • 183. JMS – SonicMQ, BEA Weblogic, IBM, jBoss
      • 184. TIBCO Rendezvous
      • 185. Web Services
    • real-life use case: DISA / DOD Global Command and Control
      Use Case – Asset/Position Monitoring
      655 sites, 11 thousand users
      Real-time, 3 dimensional, NASA World Wind User Interface
      Active, directed event propagation
      On the desk of
      President of the United States
      US Secretary of Defense
      Each of the Joint Chiefs of Staff
      Every commander in the US Military
      Likely to be adopted as the joint, common operating picture for US allies and friendlies
    • 186. RabbitMQ Successes
    • 187. BBC - real time content management
      Source feeds are collated, transformed
      and routed to their destinations
    • 188. Pubsubat massive scale: “Twitter for Data in the Cloud”
      Oceanographic Observatory Institute
    • 189. Putting it all together: The OOI National Network
      125

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