New end user standards of satisfaction are forcing the traditional data center network structure to change. This presentation discusses the new multi-tiered structure that will define data center networks in the coming years.
The document discusses how data centers and networks need to evolve to address the convergence of large video packets and billions of small IoT packets. A stratified structure with three levels - centralized hubs, regional edge data centers, and micro data centers located close to end users - is proposed to better support this new architecture. This hierarchical structure would improve processing capabilities, distribute infrastructure throughout locations based on customer demand, and maximize uptime at each mission critical level. Planning also needs to shift from tactical to more strategic, long-term thinking to accommodate evolving technical, network, application and user requirements over the next 5-10 years.
The Fine Art of Combining Capacity Management with Machine LearningPrecisely
Today, capacity management within the enterprise continues to evolve. In the past, we were focused on the hardware – but now we are focused on the services. With that in mind, the amount of data available has increased significantly and has become difficult for individuals to sort through.
It is apparent that to be successful in this discipline, we need the machines to do more of the heavy lifting. This includes automatically creating reports, calling out anomalies and producing forecasts. The intuition of the human computer is imperative to the success.
View this webinar on-demand where we discuss:
• The strengths and weaknesses of capacity management with and without machine learning
• What machine learning can provide throughout the process
• The benefits of using capacity management and machine learning within your organization
The document discusses why collecting comprehensive data center asset information is important. Current infrastructure documentation has gaps and is often outdated. Accurate asset data is key for initiatives like service level management, disaster recovery planning, and technology planning during data center changes or mergers and acquisitions. Traditional manual asset inventories are expensive, time-consuming, and result in inaccurate and outdated data. The NetworkSage asset discovery service employs an agent-less discovery process to gather a snapshot of comprehensive asset data quickly and with low impact, and stores the data in a configuration management database for ongoing decision support.
This document discusses various hosting options for companies including in-house hosting, outsourced hosting, colocation hosting, shared hosting, dedicated server hosting, managed hosting services, virtual private servers, and cloud-based hosting. It provides details on the characteristics and benefits of each option. A cost benefit analysis matrix compares the options based on factors like accessibility, cost, security, and maintenance. Cloud-based hosting receives the highest total score in the analysis.
Don't Leave Your Traditional IBM Systems Out of Your IT Operations EffortsPrecisely
This document discusses using Ironstream to integrate traditional IBM systems like mainframes and IBM i servers into modern IT operations management. It provides an overview of challenges in collecting and analyzing log data from these systems due to complex data structures and volumes. Ironstream provides a solution by collecting this data in real-time, normalizing it, and enabling analytics across all platforms without requiring specialized expertise. Customer examples show how Ironstream has helped organizations monitor operations, ensure security and compliance, and gain better visibility into their entire infrastructure.
Capacity Management for a Digital and Agile WorldPrecisely
View this webinar on-demand where we discuss common misconceptions and how important a mature capacity management process is – especially when it comes to DevOps and agile environments underpinned by elastic infrastructure, whether hybrid and/or public Cloud.
During this webinar you will learn more about:
• How the DevOps process provides the agility and speed of deployments for new IT services
• How and why the cloud fits into this model
• How to counter the perceptions that cloud capacity is infinite
• How AI and machine learning perceive to offer control over capacity and performance on-demand
This document discusses cloud computing solutions for local governments. It begins by outlining topics like what cloud computing is, when it is the right solution, and how it can benefit organizations. It then provides background on VC3, a company that works with over 130 municipalities and counties. The document discusses when cloud computing is right, such as when IT support is difficult to afford or data needs to be stored off-site. It outlines the traditional premise-based IT environment and its drawbacks. The document then compares premise-based solutions to hosted cloud solutions, noting hosted solutions provide servers, storage, backups and other services without large upfront capital costs. It details what is included in cloud desktop solutions such as applications, storage, backups,
The document discusses how data centers and networks need to evolve to address the convergence of large video packets and billions of small IoT packets. A stratified structure with three levels - centralized hubs, regional edge data centers, and micro data centers located close to end users - is proposed to better support this new architecture. This hierarchical structure would improve processing capabilities, distribute infrastructure throughout locations based on customer demand, and maximize uptime at each mission critical level. Planning also needs to shift from tactical to more strategic, long-term thinking to accommodate evolving technical, network, application and user requirements over the next 5-10 years.
The Fine Art of Combining Capacity Management with Machine LearningPrecisely
Today, capacity management within the enterprise continues to evolve. In the past, we were focused on the hardware – but now we are focused on the services. With that in mind, the amount of data available has increased significantly and has become difficult for individuals to sort through.
It is apparent that to be successful in this discipline, we need the machines to do more of the heavy lifting. This includes automatically creating reports, calling out anomalies and producing forecasts. The intuition of the human computer is imperative to the success.
View this webinar on-demand where we discuss:
• The strengths and weaknesses of capacity management with and without machine learning
• What machine learning can provide throughout the process
• The benefits of using capacity management and machine learning within your organization
The document discusses why collecting comprehensive data center asset information is important. Current infrastructure documentation has gaps and is often outdated. Accurate asset data is key for initiatives like service level management, disaster recovery planning, and technology planning during data center changes or mergers and acquisitions. Traditional manual asset inventories are expensive, time-consuming, and result in inaccurate and outdated data. The NetworkSage asset discovery service employs an agent-less discovery process to gather a snapshot of comprehensive asset data quickly and with low impact, and stores the data in a configuration management database for ongoing decision support.
This document discusses various hosting options for companies including in-house hosting, outsourced hosting, colocation hosting, shared hosting, dedicated server hosting, managed hosting services, virtual private servers, and cloud-based hosting. It provides details on the characteristics and benefits of each option. A cost benefit analysis matrix compares the options based on factors like accessibility, cost, security, and maintenance. Cloud-based hosting receives the highest total score in the analysis.
Don't Leave Your Traditional IBM Systems Out of Your IT Operations EffortsPrecisely
This document discusses using Ironstream to integrate traditional IBM systems like mainframes and IBM i servers into modern IT operations management. It provides an overview of challenges in collecting and analyzing log data from these systems due to complex data structures and volumes. Ironstream provides a solution by collecting this data in real-time, normalizing it, and enabling analytics across all platforms without requiring specialized expertise. Customer examples show how Ironstream has helped organizations monitor operations, ensure security and compliance, and gain better visibility into their entire infrastructure.
Capacity Management for a Digital and Agile WorldPrecisely
View this webinar on-demand where we discuss common misconceptions and how important a mature capacity management process is – especially when it comes to DevOps and agile environments underpinned by elastic infrastructure, whether hybrid and/or public Cloud.
During this webinar you will learn more about:
• How the DevOps process provides the agility and speed of deployments for new IT services
• How and why the cloud fits into this model
• How to counter the perceptions that cloud capacity is infinite
• How AI and machine learning perceive to offer control over capacity and performance on-demand
This document discusses cloud computing solutions for local governments. It begins by outlining topics like what cloud computing is, when it is the right solution, and how it can benefit organizations. It then provides background on VC3, a company that works with over 130 municipalities and counties. The document discusses when cloud computing is right, such as when IT support is difficult to afford or data needs to be stored off-site. It outlines the traditional premise-based IT environment and its drawbacks. The document then compares premise-based solutions to hosted cloud solutions, noting hosted solutions provide servers, storage, backups and other services without large upfront capital costs. It details what is included in cloud desktop solutions such as applications, storage, backups,
This document discusses the importance of guaranteed quality of service (QoS) in cloud computing. It notes that current cloud infrastructure is unable to consistently support business-critical applications due to imbalanced capacity and performance, inconsistent performance without QoS capabilities, and "noisy neighbors" that consume unfair resources. While prioritization, rate limiting and tiered storage aim to improve performance, they cannot guarantee minimum levels of performance. The document argues that to guarantee QoS, a storage solution requires an all-SSD architecture, true scale-out architecture, RAID-less data protection, balanced load distribution, fine-grain QoS control and performance virtualization. It positions SolidFire storage as the only solution that meets all six requirements
Introducing the Latest in High Availability from SyncsortPrecisely
In a recent survey of 5,632 IT professionals – on the topic of data protection strategies and IT priorities – 67% responded with data availability as the top measure of IT performance. These statistics clearly state how the impact of downtime on customers, partners and employees is increasingly visible and costly in today’s constantly connected world.
Syncsort’s market-leading portfolio of high availability and disaster recovery solutions continues to expand and evolve to meet the demands of organizations faced with exploding data volumes, limited IT resources and intensifying pressure for non-stop access to data and systems.
View this webinar to learn about the latest developments in our IBM i high availability portfolio that can help your organization meet their critical recovery point and recovery time objectives.
Cloud in a Box by Codestone Solutions Ltd simplifies the process, cost and complexity of moving from onpremise hardware to Cloud service delivery. It includes Office 365, File access in the Cloud, Security, 'cloudifies' your line of business apps, includes AV, backup and 24/7/365 support.
A low cost of entry and fixed monthly per user fee provides greater flexibility as your business changes.
Contact sf@codestone.net for more details.
Navigator transforms the way people interact with their data centers and access their public and private cloud environments. By connecting multiple servers into one convenient, secure location for centralized management of your IT infrastructure, Navigator does all the heavy lifting to provide visibility and control for IT organizations to handle disparate, complex cloud systems.
VMworld 2013: Separating Cloud Hype from Reality in Healthcare – a Real-Life ...VMworld
VMworld 2013
Tim Graf, VMware
Matthew Ritchart, Health Management Associates
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
This document discusses the need for organizations to optimize their data centers given economic pressures to do more with less resources. Many data centers are approaching capacity for power and cooling and struggle with capacity planning and disaster recovery. It also outlines various components of data center infrastructure that must be carefully managed like racks, switches, and HVAC systems to prevent overload conditions. Finally, it discusses how server virtualization enables disaster recovery across data centers by allowing instances to exist across locations, simplifying failover.
When new technologies are introduced into an existing space, they disrupt the current ecosystem. There are a lot of apps out there, but which ones are delivering on their promise to enable your users. Learn how new apps, abilities and technologies allow users to become superheroes.
Cloud computing allows users to access computing resources like servers, databases, networking, software and analytics over the internet. It provides services on demand in a flexible, scalable way with users only paying for what they use. Common uses of cloud computing include email, file storage, collaboration tools and virtual servers. While it offers benefits like lower costs, easier setup and scalability, disadvantages can include lack of control over downtime and security concerns about storing data online.
Monitoring and Reporting for IBM i Compliance and SecurityPrecisely
Today’s world of complex regulatory requirements and evolving security threats requires you to find simple ways to monitor all IBM i system and database activity, identify security threats and compliance issues in real time, produce clear and concise reports, and maintain an audit trail to satisfy security officers and auditors.
IBM i log files and journals are rich sources of system and database activity. However, they are in their own proprietary format, and they are not easy to manually analyze for security events.
Join this webinar to learn more about:
- Key IBM i log files and static data sources that must be monitored
- Automating real-time analysis of log files to identify threats to system and data security
- Integrating IBM i security data into SIEM solutions for a clear view of security across multiple platforms
This document discusses best practices for data centers, covering hardware performance, high availability (HA), capacity planning, and security. It addresses choosing the right hardware, benchmark testing, HA considerations like power and cooling, clustering, disaster recovery, capacity planning factors like current and future utilization, and security risks and mitigations like physical security, patching, and data backup. The goal is to provide guidance on optimizing data center operations and ensuring continuous service availability.
Why SMB's Should Consider VirtualizationVM6 Software
The benefits of virtualization are no secret, so why are so many SMB’s slow to adopt it? VM6 Software offers some helpful tips for why virtualization is the perfect solution for SMB’s looking to streamline their IT and cut costs in the long run.
Data centers are facilities that house large amounts of computing equipment and data for collecting, storing, processing, and accessing data. Data center architecture involves planning how servers, storage, networking equipment, and other resources will be physically arranged and interconnected. There are three main types of data centers - traditional, modular, and cloud - depending on their architecture and services. Data centers support important business applications and activities like email, CRM, analytics, and collaboration. Their core components include networking, storage, and computing resources.
Anunta- Benefits of network virtualization for business growthnebula12_23
Network virtualization technologies has grown significantly over the past few years. Network virtualization has tangible benefits for businesses of any size, know more!
Data center virtualization (DCV) involves converting hardware resources like servers, storage and networking equipment in a data center into virtual resources that can be easily managed and allocated. This allows several virtual machines to run on a single physical server, reducing costs associated with power, cooling and hardware. DCV provides benefits like energy savings, easier backups, reduced costs and vendor independence by using a hypervisor to manage virtual machines independently of underlying hardware. However, issues with DCV include increased security risks, potential performance issues with certain applications, and increased licensing costs.
The Evolving Data Center – Past, Present and FutureCisco Canada
The journey to Cloud is not linear. Realistically, most environments will have workloads that continue to run on both physical and virtualized infrastructures for some time. Join Cisco’s Data Centre Experts, as they outline the key technologies transforming the Data Centre, enabling an intelligent infrastructure which will support physical, virtualized and cloud applications as part of Cisco’s Unified Data Centre Architecture.
Concept of edge computing is to leverage new generation technologies, processes, services, and applications that are built to take an advantage of new infrastructure.
Put processing closer to the edge of the network pre-process data and send to the cloud.
Grid computing involves distributing computational problems or tasks across multiple interconnected computers or machines to solve large problems requiring extensive processing power and data access. It provides increased processing power by combining resources, makes more efficient use of organizational computer resources, and facilitates faster application execution through parallel processing and fault tolerance. However, grid computing also presents challenges related to maintaining permanent connectivity, synchronization across distributed systems, and establishing common operating standards.
We are using data at a record pace. This directly impacts data centers and how they manage the increase in demand. Check out the data center trends for 2014.
David K. Sagal II has over 20 years of experience as a systems administrator, network administrator, and cloud architect with expertise in managing complex IT infrastructures for organizations such as IBM, the United States Marine Corps, VITA, and Spherix Inc. His skills include designing and implementing cloud, network, storage, and security architectures as well as managing servers, databases, backups, and help desk operations. He holds several technical certifications and has received awards for his work.
The document discusses the 3-2-1 backup rule and strategies for implementing it using tiered storage approaches. The 3-2-1 rule recommends having 3 copies of your data, stored on 2 different media types, with 1 copy stored offsite. The document then outlines a tiered approach using storage snapshots (Tier 0), a small fast local disk system (Tier 1), a larger cheaper disk system (Tier 2), and offsite archival (Tier 3) to provide redundancy, fast restores, extended retention, and offsite protection in line with the 3-2-1 rule.
An introduction to Cloud Computing, the trends from traditional IT that are driving the changes, and an overview of the opportunities and challenges they present.
This document discusses the importance of guaranteed quality of service (QoS) in cloud computing. It notes that current cloud infrastructure is unable to consistently support business-critical applications due to imbalanced capacity and performance, inconsistent performance without QoS capabilities, and "noisy neighbors" that consume unfair resources. While prioritization, rate limiting and tiered storage aim to improve performance, they cannot guarantee minimum levels of performance. The document argues that to guarantee QoS, a storage solution requires an all-SSD architecture, true scale-out architecture, RAID-less data protection, balanced load distribution, fine-grain QoS control and performance virtualization. It positions SolidFire storage as the only solution that meets all six requirements
Introducing the Latest in High Availability from SyncsortPrecisely
In a recent survey of 5,632 IT professionals – on the topic of data protection strategies and IT priorities – 67% responded with data availability as the top measure of IT performance. These statistics clearly state how the impact of downtime on customers, partners and employees is increasingly visible and costly in today’s constantly connected world.
Syncsort’s market-leading portfolio of high availability and disaster recovery solutions continues to expand and evolve to meet the demands of organizations faced with exploding data volumes, limited IT resources and intensifying pressure for non-stop access to data and systems.
View this webinar to learn about the latest developments in our IBM i high availability portfolio that can help your organization meet their critical recovery point and recovery time objectives.
Cloud in a Box by Codestone Solutions Ltd simplifies the process, cost and complexity of moving from onpremise hardware to Cloud service delivery. It includes Office 365, File access in the Cloud, Security, 'cloudifies' your line of business apps, includes AV, backup and 24/7/365 support.
A low cost of entry and fixed monthly per user fee provides greater flexibility as your business changes.
Contact sf@codestone.net for more details.
Navigator transforms the way people interact with their data centers and access their public and private cloud environments. By connecting multiple servers into one convenient, secure location for centralized management of your IT infrastructure, Navigator does all the heavy lifting to provide visibility and control for IT organizations to handle disparate, complex cloud systems.
VMworld 2013: Separating Cloud Hype from Reality in Healthcare – a Real-Life ...VMworld
VMworld 2013
Tim Graf, VMware
Matthew Ritchart, Health Management Associates
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
This document discusses the need for organizations to optimize their data centers given economic pressures to do more with less resources. Many data centers are approaching capacity for power and cooling and struggle with capacity planning and disaster recovery. It also outlines various components of data center infrastructure that must be carefully managed like racks, switches, and HVAC systems to prevent overload conditions. Finally, it discusses how server virtualization enables disaster recovery across data centers by allowing instances to exist across locations, simplifying failover.
When new technologies are introduced into an existing space, they disrupt the current ecosystem. There are a lot of apps out there, but which ones are delivering on their promise to enable your users. Learn how new apps, abilities and technologies allow users to become superheroes.
Cloud computing allows users to access computing resources like servers, databases, networking, software and analytics over the internet. It provides services on demand in a flexible, scalable way with users only paying for what they use. Common uses of cloud computing include email, file storage, collaboration tools and virtual servers. While it offers benefits like lower costs, easier setup and scalability, disadvantages can include lack of control over downtime and security concerns about storing data online.
Monitoring and Reporting for IBM i Compliance and SecurityPrecisely
Today’s world of complex regulatory requirements and evolving security threats requires you to find simple ways to monitor all IBM i system and database activity, identify security threats and compliance issues in real time, produce clear and concise reports, and maintain an audit trail to satisfy security officers and auditors.
IBM i log files and journals are rich sources of system and database activity. However, they are in their own proprietary format, and they are not easy to manually analyze for security events.
Join this webinar to learn more about:
- Key IBM i log files and static data sources that must be monitored
- Automating real-time analysis of log files to identify threats to system and data security
- Integrating IBM i security data into SIEM solutions for a clear view of security across multiple platforms
This document discusses best practices for data centers, covering hardware performance, high availability (HA), capacity planning, and security. It addresses choosing the right hardware, benchmark testing, HA considerations like power and cooling, clustering, disaster recovery, capacity planning factors like current and future utilization, and security risks and mitigations like physical security, patching, and data backup. The goal is to provide guidance on optimizing data center operations and ensuring continuous service availability.
Why SMB's Should Consider VirtualizationVM6 Software
The benefits of virtualization are no secret, so why are so many SMB’s slow to adopt it? VM6 Software offers some helpful tips for why virtualization is the perfect solution for SMB’s looking to streamline their IT and cut costs in the long run.
Data centers are facilities that house large amounts of computing equipment and data for collecting, storing, processing, and accessing data. Data center architecture involves planning how servers, storage, networking equipment, and other resources will be physically arranged and interconnected. There are three main types of data centers - traditional, modular, and cloud - depending on their architecture and services. Data centers support important business applications and activities like email, CRM, analytics, and collaboration. Their core components include networking, storage, and computing resources.
Anunta- Benefits of network virtualization for business growthnebula12_23
Network virtualization technologies has grown significantly over the past few years. Network virtualization has tangible benefits for businesses of any size, know more!
Data center virtualization (DCV) involves converting hardware resources like servers, storage and networking equipment in a data center into virtual resources that can be easily managed and allocated. This allows several virtual machines to run on a single physical server, reducing costs associated with power, cooling and hardware. DCV provides benefits like energy savings, easier backups, reduced costs and vendor independence by using a hypervisor to manage virtual machines independently of underlying hardware. However, issues with DCV include increased security risks, potential performance issues with certain applications, and increased licensing costs.
The Evolving Data Center – Past, Present and FutureCisco Canada
The journey to Cloud is not linear. Realistically, most environments will have workloads that continue to run on both physical and virtualized infrastructures for some time. Join Cisco’s Data Centre Experts, as they outline the key technologies transforming the Data Centre, enabling an intelligent infrastructure which will support physical, virtualized and cloud applications as part of Cisco’s Unified Data Centre Architecture.
Concept of edge computing is to leverage new generation technologies, processes, services, and applications that are built to take an advantage of new infrastructure.
Put processing closer to the edge of the network pre-process data and send to the cloud.
Grid computing involves distributing computational problems or tasks across multiple interconnected computers or machines to solve large problems requiring extensive processing power and data access. It provides increased processing power by combining resources, makes more efficient use of organizational computer resources, and facilitates faster application execution through parallel processing and fault tolerance. However, grid computing also presents challenges related to maintaining permanent connectivity, synchronization across distributed systems, and establishing common operating standards.
We are using data at a record pace. This directly impacts data centers and how they manage the increase in demand. Check out the data center trends for 2014.
David K. Sagal II has over 20 years of experience as a systems administrator, network administrator, and cloud architect with expertise in managing complex IT infrastructures for organizations such as IBM, the United States Marine Corps, VITA, and Spherix Inc. His skills include designing and implementing cloud, network, storage, and security architectures as well as managing servers, databases, backups, and help desk operations. He holds several technical certifications and has received awards for his work.
The document discusses the 3-2-1 backup rule and strategies for implementing it using tiered storage approaches. The 3-2-1 rule recommends having 3 copies of your data, stored on 2 different media types, with 1 copy stored offsite. The document then outlines a tiered approach using storage snapshots (Tier 0), a small fast local disk system (Tier 1), a larger cheaper disk system (Tier 2), and offsite archival (Tier 3) to provide redundancy, fast restores, extended retention, and offsite protection in line with the 3-2-1 rule.
An introduction to Cloud Computing, the trends from traditional IT that are driving the changes, and an overview of the opportunities and challenges they present.
Cloud computing is the fifth generation of computing that allows applications to be accessed from anywhere via the internet. It is projected to grow six times faster than traditional IT spending, reaching $42 billion by 2012. Key benefits include lower upfront and ongoing costs, easier application access, and improved datacenter utilization. However, security concerns, latency issues, and lack of control present barriers for some applications. Private enterprise clouds can provide cloud advantages internally while addressing barriers through server virtualization, availability, and control over resource allocation.
This document discusses strategies for modernizing data centers through increased abstraction from hardware infrastructure. It advocates for a multi-year strategic planning approach to balance both incremental and transformational changes. Key elements of data center modernization discussed include adopting software-defined, programmable infrastructure through converged solutions, automation, and virtualization. Planning considerations cover people, processes, and technologies to support a transition to software-defined, utility-like operations over time.
The success of application deployment on cloud depends a lot on the architecture style which in turn depends on your business needs. This presentation talks about the commonly used Architecture and business use cases.
Datastax - Why Your RDBMS fails at scaleRuth Mills
The document discusses the limitations of traditional relational databases in scaling to meet the demands of modern cloud applications. It outlines some of the issues faced, such as databases not being built for horizontal scaling, single points of failure, and complex replication needs across data centers. The document then introduces DataStax as a distributed, masterless NoSQL database that provides linear scalability, continuous availability, and a platform to support globally distributed cloud applications.
Achieving scale and performance using cloud native environmentRakuten Group, Inc.
ID Platform Product can be used by every Rakuten Group Companies and can easily serve millions of users. Multi-Region product challenges are many, example:
- Ensure 4 9’s availability
- Management across each region
- Alerting and Monitoring across each region
- Auto scaling (Scale up and Scale down) across each region
- Performance (vertical scale up)
- Cost
- DB Consistency Across Multiple Regions
- Resiliency
At Ecosystem Platform Layer for Rakuten, we handle each of these and this presentation is about how we handle these challenging scenarios.
NetIDEAS Inc. - Enabling Global Design Teams with hosted WindchillJeff Kiesel
Product development organizations are dealing with changing dynamics due to corporate downsizing, outsourcing, and partnerships. Despite these changes, organizations still must empower teams to innovate and produce their design deliverables on time and on budget. This paper will describe how a secure Internet- based Windchill® environment is helping many world-class organizations meet their challenges and effectively get their products to market to meet their goals.
The document provides an overview of a cloud computing course, including introductions to cloud concepts and technologies, demonstrations of cloud capabilities, security considerations, hands-on labs, and a business case study. The course outline covers cloud models, elasticity, pay-per-use, on-demand services, virtual private clouds, storage solutions, serverless technologies, and implementing security and governance in the cloud.
Adapting to a Hybrid World [Webinar on Demand]ServerCentral
Learn:
- when hybrid IT works: successful deployment models we’ve seen
- when hybrid IT doesn’t work: how to avoid the "gotchas"
- which applications go where in hybrid environments
- pro tips from a managed infrastructure hosting provider's point of view
Risc and velostrata 2 28 2018 lessons_in_cloud_migrationRISC Networks
Learn how to accelerate and
de-risk your cloud migration project
Despite the surge in enterprises migrating applications to the public cloud, more than half of all projects are delayed or over budget and an even greater number are more difficult than expected.1
Cloud Migrations don’t begin when you start moving applications into the cloud. They begin with your application landscape discovery and assessment. The second phase comprises the actual migration where applications are moved to the public cloud. Working with purpose-built enterprise-grade cloud migration platforms, especially those that partner to integrate both phases greatly simplifies and accelerates projects.
RISC Networks and Velostrata have teamed up to deliver this webinar where we’ll share real-world examples, tips, and tricks on crafting a seamless cloud migration from start to completion.
This document discusses ING NL's efforts to create a data lake architecture using Hadoop to integrate all of the bank's data sources onto a single processing platform. The data lake aims to collect data in a unified format, securely store it to prevent manipulation and unauthorized access, and make it available for analytical applications. Some of the challenges discussed include managing security, aligning with legacy systems, and facilitating interdepartmental cooperation on agile delivery. The presentation focuses on one part of the data lake, the archive, and how a Hadoop cluster can effectively address the goals of collecting, storing, and accessing data for business intelligence and data science purposes.
Join Deep’s VP Product Management, Mike "Skoob" Skubisz and GEMServers’ CEO, John Teague to learn about the unfair advantage that they gained by deploying a self-tuning MySQL solution in their WordPress managed hosting environment.
Learn about:
-Performance, scale and tuning challenges faced by all hosting providers
Unique opportunities for tuning MySQL to improve app performance
-How GEMServers, a Deep customer, used a unique approach to turn MySQL into a perpetually self-tuning database with zero app changes
-The transformative impact the solution has had on GEMServers' business (500% increase in site performance)
The Shifting Landscape of Data IntegrationDATAVERSITY
This document discusses the shifting landscape of data integration. It begins with an introduction by William McKnight, who is described as the "#1 Global Influencer in Data Warehousing". The document then discusses how challenges in data integration are shifting from dealing with volume, velocity and variety to dealing with dynamic, distributed and diverse data in the cloud. It also discusses IDC's view that this shift is occurring from the traditional 3Vs to the 3Ds. The rest of the document discusses Matillion, a vendor that provides a modern solution for cloud data integration challenges.
Digital Transformation in 2018: DX 4 3-2-1James Kelly
This document discusses digital transformation and the role of IT. It notes that digital IQ is dropping among executives and that technology and competitors are not waiting. It discusses how digital transformation is leading to more efficient, effective, reliable operations with greater velocity, agility, scale and reach. IT roles are blurring between business and technology functions. Innovation is imperative for businesses facing disruption. Security must be pervasive. Planning is needed for AI. Bimodal IT approaches are discussed as are the roles of the CIO and standardized vs cloud-native approaches. Multicloud is discussed as the new platform reality. Automation, DevOps, and digital operations are key parts of digital transformation.
Webinar: Overcoming the Storage Roadblock to Data Center ModernizationStorage Switzerland
Organizations have tried a variety of solutions to regain control of their data storage infrastructure. They’ve invested in monolithic storage systems, software defined storage (SDS) and hyper-converged systems. While each approach may have brought some value, each failed in its primary task: consolidating storage resources. Each of these consolidation efforts is unable to consistently guarantee performance, scale capacity and drive down storage costs.
As a result, most organizations end up buying workload specific solutions for both legacy and modern applications. Most data centers today have a mixture of multiple all-flash storage systems, hyper-converged environments and high capacity data archives. They also have storage software for each use case. IT ends up dealing with a data management nightmare, which limits organizational efficiency and productivity.
Don’t give up! Join Storage Switzerland and Datera to learn how monolithic, software defined and hyper-converged architectures have let IT down and why the problem gets worse as data centers modernize. Attendees will learn how storage solutions need to change in order to eliminate primary storage silos while guaranteeing specific application performance, scaling to meet capacity demands and lower storage TCO.
This document discusses how MongoDB can help enterprises meet modern data and application requirements. It outlines the many new technologies and demands placing pressure on enterprises, including big data, mobile, cloud computing, and more. Traditional databases struggle to meet these new demands due to limitations like rigid schemas and difficulty scaling. MongoDB provides capabilities like dynamic schemas, high performance at scale through horizontal scaling, and low total cost of ownership. The document examines how MongoDB has been successfully used by enterprises for use cases like operational data stores and as an enterprise data service to break down silos.
Cloud Computing: The Hard Problems Never Go AwayZendCon
This document discusses some of the hard problems that persist with cloud computing, including vendor lock-in, transactions and concurrency, security, and identity management. It notes that while cloud computing offers benefits like scalability and reduced costs, challenges around governance, data distribution, and database design remain. The document advocates understanding the limitations and capabilities of different cloud technologies to choose the right solutions for specific needs.
Kafka Summit SF 2017 - Running Kafka for Maximum Painconfluent
This document discusses some of the challenges of running Apache Kafka at scale at LinkedIn, including issues with multitenancy, infrastructure, and management. It describes how high volumes of data and many producers can complicate ownership and capacity planning when data is shared. It also explains the pain points of tools like Mirror Maker and the lack of topic configuration management across clusters. Finally, it outlines some of LinkedIn's open source efforts to improve Kafka operations through tools like Cruise Control, Kafka Monitor, and kafka-tools.
How Cloud Providers are Playing with Traditional Data CenterHostway|HOSTING
The keynote presentation discusses how cloud providers are impacting traditional data centers. It notes that as companies grow from startups to established enterprises, their hosting needs change from fully public cloud to hybrid models. The presentation outlines the tradeoffs of different hosting options like owning your own data center, colocation, managed hosting, and public cloud. It argues that a hybrid multi-cloud approach combining on-premises, dedicated, managed, public and other specialty clouds provides the most flexibility, cost savings, and ability to put the right workload in the right environment. Case studies are presented showing how hybrid cloud delivered major cost reductions and performance gains for Explore.org and enabled critical security and compliance requirements for Samsung. The presentation concludes that
Similar to The Stratification of Data Center Responsibilities (20)
Just add water: The Resource Issues of Water Based Coolingsflaig
The use of water-based cooling methods is becoming an increasingly important decision for new data centers and their operators. This presentation discusses the issues associated with water based cooling and other cooling alternatives
Artificial Intelligence applications are proliferating within all areas of society. This presentation explores the potential AI applications within the data center and how they will impact applications and operations in the future.
Wearable devices are revolutionizing data center operations. Information that traditionally was included in multiple volumes can now be made available at a technician's fingertips. This presentation provides a case study as to how one company is improving its operational performance thru wearable technology
The high volume data processing demands of IoT exceed the capabilities of the majority of today's data centers. This presentation examines the issues that must be addressed to ensure a successful IoT implementation.
Twin sons of different mothers latency and bandwidth 2sflaig
High volume (ex: Iot) and large rich packet applications are driving requirements for ever lower latency and increased bandwidth. This presentation discusses the issues and remedies to address these two important data center considerations.
Chris Crosby's 2013 Uptime Symposium presentation on the inherent inefficiencies (capital, land, natural resources and more) plaguing many of today's data center designs.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
The Stratification of Data Center Responsibilities
1. The Right Data Center for the Job: The
Stratification of Data Center
Responsibilities
Chris Crosby, CEO, Compass Datacenters
2. About Us
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• Compass Datacenters provides dedicated data centers
• Built using our patented architecture
• Uptime Institute Tier III certified design and constructed
• LEED certified
• Wherever you want it
• Controlled by you
• Ownership or lease
• Operations and security
• Expansion
• Simplify Capacity Planning
• Growth in 1.2MW Increments
• The building is the standard unit “Everything you want in your next data center. It’s in here”
3. Accelerated Evolution
• Rapid period of change
• Old rules no longer apply
• Structure
• Roles
• Decision making
• Data center role shift
• All-in-one versus matching need
• Avoid load group mistmatch
• Scale matters
3
4. Driving the Change
• Convergence of data types
• Large rich packets (video)
• Billions of small packets (IOT)
• Value of data
• Inverse relationship with latency
• End user requirements/expectations
• Data must be as close to end user as possible – generational shift
4
5. Not Ready for Primetime, Part 1
• The mega data center can’t do it all
• Geography
• Can’t get close enough to the customer
• Latency becomes a serious issue
• Applications processing capability
• We used to call billions of tiny packets DOS
• Now it’s business as usual
• “Intelligence” isn’t distributed
• Network
• Fat pipes are no longer enough
• Latency matters
• Hetero v. Homogeneous
• The big guys build for single apps
• Too expensive/inefficient for most enterprises
5
6. Not Ready for Primetime, Part 2
• Existing “network” structures
• Single data center
• 2-level (maybe)
• Centralized with DR with usually some synchronous requirements
• Centralized w/big pipe to regional
• Regulatory environments pushing for more
• Not optimized for “next generation”
requirements
• Difficult to hold “localized” content
• Design didn’t anticipate volume
• Ability to process volume in real time
• Even if it isn’t your app set, it will affect the
public network
6
7. The Stratified Structure
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• Hierarchical structure
• 3 levels
• Data center(s) at each level have specific function
• Based on division of labor
• Improve processing capability
• Distributed throughout the structure
• Better support for converged architecture
• Mission critical at all levels
• Why?
• $10M - $20M investment in just a few
racks of gear
• Even the “cloud” has 10-20 racks that run
all the commodity infrastructure
8. Cost of Redundancy versus Software
• Mission critical at the edge
• Cost to put into the software versus the cost to put it
into the hardware
• Just like in your car, what you can afford today is
different than 5 years ago
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Cost
Time
Data Center
Software
9. Roles
• Centralized hubs
• Primary applications processing/storage points
• Applications are “non-divisible”
• Edge data centers
• Regional centers
• Support one or more micro DC’s
• Perform regional processing/cache function
• Ex: Determine what goes upstream
• Micro data centers
• Initial interaction point
• Repositories for high demand content
• Located to provide lowest level of latency
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10. The Stratified Structure
• Requirements
• Flexibility
• Must be able to adapt to shifts in demand
• Dynamic
• 80/20 rule
• Security
• At all levels
• Ability to identify attacks
• Dynamic re-routing of traffic
• Mission critical at all levels
• Maximize uptime
• Protect high cost equipment
• Converged equipment = more expensive
• Tier III/IV (hub)
• If size dictates, commodity compute storage at
hub
• Tier III (edge, micro)
• Geography
• Data centers located where they are needed
• Especially at edge, micro levels
• Location decisions driven by customer locations
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Commodity Level
Converged Level
Not a return to the IT closet, true data centers at the edge
11. Planning for Stratified
• From tactical to strategic
• More than we need a new data center in Cleveland
• Need to think in 5-10 year periods
• Not 12-24 months
• Impact from outside, NOT just inside
• Security
• Network
• Considerations
• Applications
• End users
• Locations
• Requirements
• Expectations
• Network
• Technical and financial
• Management and control
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12. Summary
• Nature of data forcing the change
• Majority of existing data centers/networks not ready
• Stratified networks will become more prevalent
• 2 major considerations:
• Keep data closer to users
• Lowest possible latency—generational shift in workers
• Data center roles will become more specific
• Based on hierarchical location
• Planning will have to change
• Tactical to strategic
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