Unified Monitoring Webinar with Dustin WhittleAppDynamics
Listen to the recorded webinar here: https://www.appdynamics.com/lp/q3-unified-monitoring-webinar/
Dustin Whittle, AppDynamics' Director of Web Engineering, covers
-the problems and struggles with monitoring tools today
-how to identify and resolve critical issues before your customers are impacted
-how AppDynamics provides one approach for unified monitoring
And much, much more!
How ManageEngine NetFlow Analyzer helped Boston Properties Save Bandwidth CostsNetFlow Analyzer
This presentation is about how ManageEngine NetFlow Analyzer played an effective role in managing network bandwidth at one of America's leading real estate companies Boston Properties.
This presentation explains how IT auditing is important for all organizations to adequately protect critical IT systems, streamline systems management, reduce the risk of data loss, damage or leakage.
Unified Monitoring Webinar with Dustin WhittleAppDynamics
Listen to the recorded webinar here: https://www.appdynamics.com/lp/q3-unified-monitoring-webinar/
Dustin Whittle, AppDynamics' Director of Web Engineering, covers
-the problems and struggles with monitoring tools today
-how to identify and resolve critical issues before your customers are impacted
-how AppDynamics provides one approach for unified monitoring
And much, much more!
How ManageEngine NetFlow Analyzer helped Boston Properties Save Bandwidth CostsNetFlow Analyzer
This presentation is about how ManageEngine NetFlow Analyzer played an effective role in managing network bandwidth at one of America's leading real estate companies Boston Properties.
This presentation explains how IT auditing is important for all organizations to adequately protect critical IT systems, streamline systems management, reduce the risk of data loss, damage or leakage.
NOC services involve the continuous monitoring and management of an organisation’s IT infrastructure to keep it running smoothly and efficiently, 24/7. The NOC provides round-the-clock proactive monitoring and management to enable issues to be caught and resolved before they become potential show-stoppers. The effective NOC relies heavily on automation; in particular, the use of sophisticated remote monitoring management (RMM) tools.
http://wso2.com/library/webinars/2016/05/building-event-driven-systems/
Enterprises interact and integrate with a multitude of internal and external systems. Specific business requirements require these business level integrations to be implemented in an event driven manner. Additionally, there are instances where event driven integration patterns are used to achieve certain operational goals.
This webinar aims to
Identify common event driven integration patterns
Illustrate how WSO2 middleware can be used to design them
Remote Asset Monitoring Solution (RAMS): A comprehensive solution to monitor your remote manufacturing assets
1. Empower your operations personnel to take timely decisions
2. Drive collaboration through in-app features
3. Use real-time information to take preventive actions
4. Drive operational excellence through visual representation of equipment performance
Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution
This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today's digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods.
Data Center Infrastructure Management (DCIM) solutions are combining best practices from facilities & IT, and are simplifying capacity management, increasing availability, and extending the life of existing data centers. But to experience these benefits, you need to choose the solution that best fits your data center. Join Viridity Software co-founder and CTO, Mike Rowan, as he discusses how DCIM software helps you manage your data center more efficiently. This webinar will include a quick demonstration of Viridity EnergyCenter and will be open to your questions.
How Application Discovery and Dependency Mapping can stop you from losing cus...ManageEngine
With ever shortening technology life cycles, change is not only constant but also quite frequent in today’s IT enterprise. But can your business keep up with such rapidly evolving IT? To stay on top of the change management game, you need to know exactly WHAT components constitute your IT setup, exactly WHERE each of them are, HOW they all are interconnected, and WHICH business service depends on each component. With application discovery and dependency mapping (ADDM), you can comprehensively map these interdependencies not only between the components themselves but between the components and the business services that rely on them as well.
To learn more about ADDM listen to Eveline Oehrlich, VP and research director (IT Infrastructure and Operations) of Forrester on our webinar, “How Application Discovery and Dependency Mapping can stop you from losing customers.” Learn:
- What ADDM is, its challenges, and the benefits of adopting this approach
- How you can make better business decisions and use ADDM to recover quickly from application downtime
Also, catch an exclusive preview of the upcoming ADDM feature in ManageEngine Applications Manager.
The differing ways to monitor and instrumentJonah Kowall
FullStack London July 15th, 2016
Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination.
We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization.
Attendees of this session will walk away with a clear understanding of:
What is instrumentation, and what do I instrument, collect, and store?
The understanding of overhead and how this can be accomplished on common software stacks?
How to work with application owners to collect business data.
How correlation works in custom open source or packaged monitoring tools.
I was wondering if there were any Industry 4.0 opportunities at PAR Formulation
Intellithink is a young company based out of Chennai and Bangalore that offers comprehensive solutions in real-time productivity monitoring (including energy) and maintenance, condition-based monitoring.
Assessing New Databases– Translytical Use CasesDATAVERSITY
Organizations run their day-in-and-day-out businesses with transactional applications and databases. On the other hand, organizations glean insights and make critical decisions using analytical databases and business intelligence tools.
The transactional workloads are relegated to database engines designed and tuned for transactional high throughput. Meanwhile, the big data generated by all the transactions require analytics platforms to load, store, and analyze volumes of data at high speed, providing timely insights to businesses.
Thus, in conventional information architectures, this requires two different database architectures and platforms: online transactional processing (OLTP) platforms to handle transactional workloads and online analytical processing (OLAP) engines to perform analytics and reporting.
Today, a particular focus and interest of operational analytics includes streaming data ingest and analysis in real time. Some refer to operational analytics as hybrid transaction/analytical processing (HTAP), translytical, or hybrid operational analytic processing (HOAP). We’ll address if this model is a way to create efficiencies in our environments.
NOC services involve the continuous monitoring and management of an organisation’s IT infrastructure to keep it running smoothly and efficiently, 24/7. The NOC provides round-the-clock proactive monitoring and management to enable issues to be caught and resolved before they become potential show-stoppers. The effective NOC relies heavily on automation; in particular, the use of sophisticated remote monitoring management (RMM) tools.
http://wso2.com/library/webinars/2016/05/building-event-driven-systems/
Enterprises interact and integrate with a multitude of internal and external systems. Specific business requirements require these business level integrations to be implemented in an event driven manner. Additionally, there are instances where event driven integration patterns are used to achieve certain operational goals.
This webinar aims to
Identify common event driven integration patterns
Illustrate how WSO2 middleware can be used to design them
Remote Asset Monitoring Solution (RAMS): A comprehensive solution to monitor your remote manufacturing assets
1. Empower your operations personnel to take timely decisions
2. Drive collaboration through in-app features
3. Use real-time information to take preventive actions
4. Drive operational excellence through visual representation of equipment performance
Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution
This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today's digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods.
Data Center Infrastructure Management (DCIM) solutions are combining best practices from facilities & IT, and are simplifying capacity management, increasing availability, and extending the life of existing data centers. But to experience these benefits, you need to choose the solution that best fits your data center. Join Viridity Software co-founder and CTO, Mike Rowan, as he discusses how DCIM software helps you manage your data center more efficiently. This webinar will include a quick demonstration of Viridity EnergyCenter and will be open to your questions.
How Application Discovery and Dependency Mapping can stop you from losing cus...ManageEngine
With ever shortening technology life cycles, change is not only constant but also quite frequent in today’s IT enterprise. But can your business keep up with such rapidly evolving IT? To stay on top of the change management game, you need to know exactly WHAT components constitute your IT setup, exactly WHERE each of them are, HOW they all are interconnected, and WHICH business service depends on each component. With application discovery and dependency mapping (ADDM), you can comprehensively map these interdependencies not only between the components themselves but between the components and the business services that rely on them as well.
To learn more about ADDM listen to Eveline Oehrlich, VP and research director (IT Infrastructure and Operations) of Forrester on our webinar, “How Application Discovery and Dependency Mapping can stop you from losing customers.” Learn:
- What ADDM is, its challenges, and the benefits of adopting this approach
- How you can make better business decisions and use ADDM to recover quickly from application downtime
Also, catch an exclusive preview of the upcoming ADDM feature in ManageEngine Applications Manager.
The differing ways to monitor and instrumentJonah Kowall
FullStack London July 15th, 2016
Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination.
We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization.
Attendees of this session will walk away with a clear understanding of:
What is instrumentation, and what do I instrument, collect, and store?
The understanding of overhead and how this can be accomplished on common software stacks?
How to work with application owners to collect business data.
How correlation works in custom open source or packaged monitoring tools.
I was wondering if there were any Industry 4.0 opportunities at PAR Formulation
Intellithink is a young company based out of Chennai and Bangalore that offers comprehensive solutions in real-time productivity monitoring (including energy) and maintenance, condition-based monitoring.
Assessing New Databases– Translytical Use CasesDATAVERSITY
Organizations run their day-in-and-day-out businesses with transactional applications and databases. On the other hand, organizations glean insights and make critical decisions using analytical databases and business intelligence tools.
The transactional workloads are relegated to database engines designed and tuned for transactional high throughput. Meanwhile, the big data generated by all the transactions require analytics platforms to load, store, and analyze volumes of data at high speed, providing timely insights to businesses.
Thus, in conventional information architectures, this requires two different database architectures and platforms: online transactional processing (OLTP) platforms to handle transactional workloads and online analytical processing (OLAP) engines to perform analytics and reporting.
Today, a particular focus and interest of operational analytics includes streaming data ingest and analysis in real time. Some refer to operational analytics as hybrid transaction/analytical processing (HTAP), translytical, or hybrid operational analytic processing (HOAP). We’ll address if this model is a way to create efficiencies in our environments.
Introducing Ironstream Support for ServiceNow Event Management Precisely
Your IT infrastructure is the foundation for everything your organization does – customer engagement, transaction processing, business decision-making, and much more. When your IT services go down, so does your business.
ServiceNow Event Management is a powerful tool to keep your business up and running, 24x7. It consolidates disconnected monitoring tools into a single view, and uses AIOps and machine learning to transform infrastructure events into actionable alerts so you can act fast.
However, there’s been no easy way to integrate your critical mainframe and IBM i systems with ServiceNow Event Management – until now.
View our webcast to learn about Ironstream’s new support for ServiceNow Event Management. It is the first and only solution to seamlessly integrate IBM mainframe and IBM i data into ServiceNow – giving you a complete view of service availability across your entire infrastructure.
Our product experts will cover how:
Ironstream for ServiceNow works
Deploying Ironstream with ServiceNow Event Management benefits your business
Combining Event Management and the ServiceNow CMDB takes your insights one step further
Visualizing Your Network Health - Know your NetworkDellNMS
An old adage states that you cannot manage what you don’t know. Do you know what devices are on your network, where they are located, how they are configured, what they are connected to, and how they are affected by changes and failures?
Today’s network infrastructure is becoming more and more complex, while demands on the Network Administrator to ensure network availability and performance are higher than ever. Business critical systems depend upon you managing your entire network infrastructure and delivering high-quality service 24/7, 365 days a year. So how do you keep the pace?
Learn how real-time visibility into your entire network infrastructure provides the power to manage your assets with greater control.
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Drive Smarter Decisions with Big Data Using Complex Event ProcessingPerficient, Inc.
This webinar described what CEP is and how it has been deployed in several client organizations to provide more agile, cost-effective and real-time integration across multiple data stores including:
Analysis of large amounts of complex, unstructured and semi-structured data
Harnessing the power big data, social/mobile data stores and BI projects for real-time decision making
Predicting events before they happen based on patterns and rules
Data reply sneak peek: real time decision enginesconfluent
Events happen constantly in every business: a purchase in an online shop, a credit limit is hit, the mobile internet plan has been exhausted, users interact with a website. Events rule the business world. So why would you react to them hours or days later? Real-Time Decision Engines enable a variety of use cases, driving new products, increasing user experience, reducing costs and risks by reacting instantly to business events.
From personalized instantaneous marketing campaigns to reacting to user interactions, Real-Time is the key to open up a world of use cases that batch and scheduled processing cannot efficiently satisfy. In this talk, we are going to show some example use cases that Data Reply developed for some of its customers and how Real-Time Decision Engines had an impact on their businesses.
Many professionals within IT organizations think that since the advent of Cloud, capacity management is no longer needed and that it’s provided by the Cloud provider. Although it’s true that Cloud providers will provide you with all the capacity you desire, it’s not the same as managing that capacity – or the resulting bill!
Migrating applications and services to the Cloud is not as straightforward as moving the workloads, databases and systems to a Cloud provider. Planning for this migration is challenging and can be very costly if not done correctly. Once in the Cloud, continued monitoring of those services is needed to not over – or under – provision, as both can be very costly to the business.
Syncsort’s Athene™ Cloud provides secure, hassle-free capacity management without the need for software and database implementation. Whether on premise, in the cloud or both – Syncsort organizes the data that powers machine learning, AI and predictive analytics. Now, getting your data to the cloud – and accessing, integrating and cleansing it – has never been easier. Add on the expertise from Syncsort Professional Services and you have a world-class managed service offering that will ensure optimization of your workloads and services. How can you go wrong?
View this webcast on-demand to learn more about topics such as:
• What is Athene™ Cloud?
• Planning a migration to the Cloud
• Managing applications and services in the Cloud
• Moving capacity management to the Cloud
• How Syncsort Advance can help your organization be successful
Platforming the Major Analytic Use Cases for Modern EngineeringDATAVERSITY
We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud detection, and supply chain management.
In many industries, to achieve top-line growth, it is imperative that companies get the most out of existing customer relationships. Customer churn use cases are about generating high levels of profitable customer satisfaction through the use of knowledge generated from corporate and external data to help drive a more positive customer experience (CX).
Many organizations are turning to predictive analytics to increase their bottom line and efficiency and, therefore, competitive advantage. It can make the difference between business success or failure.
Fraudulent activity detection is exponentially more effective when risk actions are taken immediately (i.e., stop the fraudulent transaction), instead of after the fact. Fast digestion of a wide network of risk exposures across the network is required in order to minimize adverse outcomes.
Supply chain leaders are under constant pressure to reduce overall supply chain management (SCM) costs while maintaining a flexible and diverse supplier ecosystem. They will leverage IoT, sensors, cameras, and blockchain. Major investments in advanced analytics, warehouse relocation, and automation, both in distribution centers and stores, will be essential for survival.
Information processing and analytics cannot be focused only on “store-first” or batch-based approaches. To provide maximum business value, information must also be analyzed closer to the source, and at the speed in which it is being created. Streaming analytics utilizes various techniques for intelligently processing data as it arrives at the edge or within the data center, with the purpose of proactively identifying threats or opportunities for your business.
You are already spending time and money managing systems capacity, performance, and estimating future needs. But are you spending it wisely? Are you getting the level of results from your investment that you really need? Can you prove it?
Having underutilized or idle resources can be just as harmful to your business as not having enough processing capacity or network bandwidth. Failure to do effective capacity planning becomes clearly visible to your customers, especially your internal customers.
The good news is that the return on investment of implementing capacity management and capacity planning is provable.
Watch this on-demand webinar to learn:
• The core requirements that need to be part of your capacity management tools
• Integrating capacity management into ServiceNow environments
• Ways to demonstrate these benefits to your company
This presentation gives an overview of StreamCentral technology targeted for IT professionals. StreamCentral is software to model and build Big Data Solutions. StreamCentral consists of a Big Data Solutions Modeler that not only makes it easy to model traditional BI/DW and Big Data solutions but also auto deploys the model on the latest innovations in Big Data Management solutions (like HP Vertica and SQL Server Parallel Data Warehouse). StreamCentral Big Data Server executes the model definition in real-time. StreamCentral drastically reduces the time to market, risk and cost associated with building traditional BI/DW and Big Data solutions!
DataArt Financial Services and Capital MarketsDataArt
DataArt is a global software engineering firm that takes a uniquely human approach to solving problems. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. Powered by our People First principle, we work with clients at any scale and on any platform, and adapt alongside them as they evolve.
We integrate our engineering excellence with deeply human values that drive our business and our approach to relationships: curiosity, empathy, trust, honesty, and intuition. These qualities help us deliver high-value, high-quality solutions that our clients depend on, and lifetime partnerships they believe in.
DataArt has earned the trust of some of the world’s leading brands and most discerning clients, including Nasdaq, Travelport, Ocado, Centrica/Hive, Paddy Power Betfair, IWG, Univision, Meetup and Apple Leisure Group among others. DataArt brings together expertise of over 3000 professionals in 20 locations in the US, Europe, and Latin America.
1:1 and Viral Social Media Marketing Product to build and engage Communities across networks with CRM integration! Social Branded Games add spice to the offering to help brands retain communities.
2. What is Operational Intelligence (OI)
• Category of real-time dynamic, business
analytics that delivers visibility and insight
into data, streaming events and business
operations.
• OI solutions run queries against streaming
data feeds and event data to deliver real-
time analytic results as operational
instructions.
• OI provides ability to make decisions and
immediately act on these analytic
insights, through manual or automated
actions.
3. Operational Intelligence
• Real-time monitoring and Event
detection
• Real-time dashboards
• Correlation of events
• Industry-specific dashboards
• Multidimensional analysis
• Root cause analysis
• Time Series and trending analysis
• Big Data Analytics
• Continuous monitoring and analytics
of high velocity, high volume Big Data
sources
4. Components
• Business activity monitoring (BAM)
• Dashboard customization and personalization
• Complex event processing (CEP)
• Advanced, continuous analysis of real-time information and historical data
• Business process management (BPM)
• To perform model-driven execution of policies and processes defined as Business Process
Model and Notation (BPMN) models
• Metadata framework to model and link events to resources
• Multi-channel publishing and notification
• Dimensional database
• Root cause analysis
• Multi-protocol event collection
5. Comparison
Business Intelligence
• Data-centric
• On Demand, Post-fact
• Input: Structured Data
Sources, RDBMS
• Long term analytics for Reactive
planning
Operational Intelligence
• Activity-centric
• Real time dynamic business
analytics
• Input : Data Stream, Machine
Data
• Short term analytics of in-flight
data for Pro-active response
6. Opportunities and Key Markets
• Real Time Data stream analytics
for
• Telecom Operators
• Banks
• Security and Defense
• Social Media
• Inbound call centers
• Projected to be $ 140 Billion
market by 2020.
• Product and Services models
• Key Markets
• US, Europe and India
• Telecom, Banking and internal
Security
• Social Media Monitoring
8. Retail - Why Machine Data Matters
Why?
• Delivering a better customer experience
• Scaling aggressively to meet customer demands
• Quickly introducing services on new devices
How?
• Servers, applications, databases and networks infrastructure
generate terabytes of machine data every day
• Logs from Application, POS, Server, VM, Messaging, Proxy
logs, IPS/IDS, PCs and Mobiles devices
• Interactions from Social Media
What to do :
• Increasing online store uptime
• Enhancing customer experience
• Timely order processing
• Scaling infrastructure
• Better customer data security.
9. Order Profiling and Tracing for Better
ServiceAn Order goes through, multiple applications and elements in an IT infrastructure
• Machine data visibility across IT infrastructure helps Retailers eliminate transaction bottlenecks and
address them in a timely manner.
Systems and applications that span physical, virtual and cloud environments,
• Retailers to have end-to-end visibility to ensure a scalable, flexible and reliable infrastructure -
indexing machine data from routers, switches, firewalls, wireless controllers and VM servers to gain
key operational metrics.
Case :
• Staples indexes data across their order management infrastructure to trace the order transaction
path.
• they now have end-to-end monitoring across the systems traversed by a transaction rather than at
an individual system level.
• Benefit : Decrease time to Resolution, Reduce resources required to troubleshoot issues.
10. Benefits
Resolve Problems Faster, Reduce Downtime
• Gain end-to-end operational visibility across virtualized, private or public cloud infrastructure from a single, central interface
• Find the root cause of problems up to 70% faster, without having to search through systems, server by server or virtual machine by virtual
machine
• Monitor infrastructure in real time to prevent problems before they impact users, retain knowledge of recurring events to prevent outages
• Reduce escalations by up to 90% by providing Tier 1 support staff direct and secure access to the data they need to resolve issues the first
time or to find the right team to work on problems
Correlate Events Across All Layers of Infrastructure
• Find the causal links between user noticeable performance issues or outages and underlying infrastructure events with the time based
correlation
• Combine real-time streaming data analysis with terabytes of historical data correlation and analysis to detect patterns that can help predict
and prevent future outages or performance issues
• Persist 100% machine data from across every tier of datacenter - physical servers, network and storage devices, hypervisors, virtual
machines and applications, whether it is in datacenter or in public clouds
• Monitor environment for changes and correlate instantly to system performance deviations, availability problems or security and
compliance issues
Reduce Costs of Providing IT Services
• Support audits, compliance mandates, security forensics
• Reduce the number of tools and skills you need to maintain to manage complex infrastructure
11. Goto Market strategy
• Phase 1
• Develop Framework Definition and Architecture
• Metadata framework to model and link events to resources
• Prototype for Complex event processing (CEP) and Business Activity Monitoring (BAM)
• Data Stream Monitoring and Analytics
• BAM Dashboard customization and personalization
• Pilot for 2-3 customers
• Effort cap : 20-30 man months
• Phase 2
• Framework Scrubbing and Refactoring
• Multi-channel publishing and notification
• Root cause analysis
• Big Data analytics
• Phase 3
• Market entry