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Ensuring Performance for Consolidated Data Centers

Belinda Yung-Rubke

Start with part one of this blog: 5 Benefits of Data Center Consolidation

In a perfect universe, performance management is straightforward. When problems arise, they're easily detected, the source is obvious, and the trouble is quickly solved, never to return again.

However, consolidated data centers aren't utopia and monitoring and managing network, application, and service performance isn't so simple. In many instances, performance degrades slowly over time, and problems come and go intermittently.

Gathering performance information from all data sources across the enterprise and presenting that information from the end-user's perspective sets the stage to successfully address more sophisticated problems, but only if all the information remains available for an extended time period. Most performance management tools either don't acquire all of the necessary information, or discard it too quickly.

Next generation performance-management solutions must be capable of obtaining and storing the most granular information for a meaningful, extended duration. Doing so empowers the operations and IT teams to conduct real-time analysis, as well as go back in time to discrete points in an effort to assess and correlate environments with intermittent trouble reports.

It also promotes the development of nominal performance baselines over the short-, medium-, and long-term so deviations can be identified and addressed as early as possible.

With the right performance management solution, businesses can transition smoothly into a consolidated data center culture, meet the needs of business units and end users, and truly make today’s IT maxim of “do more with less” a reality.

Belinda Yung-Rubke is Director of Field Marketing for Fluke Networks.

Related Links:

www.flukenetworks.com

5 Benefits of Data Center Consolidation

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

Ensuring Performance for Consolidated Data Centers

Belinda Yung-Rubke

Start with part one of this blog: 5 Benefits of Data Center Consolidation

In a perfect universe, performance management is straightforward. When problems arise, they're easily detected, the source is obvious, and the trouble is quickly solved, never to return again.

However, consolidated data centers aren't utopia and monitoring and managing network, application, and service performance isn't so simple. In many instances, performance degrades slowly over time, and problems come and go intermittently.

Gathering performance information from all data sources across the enterprise and presenting that information from the end-user's perspective sets the stage to successfully address more sophisticated problems, but only if all the information remains available for an extended time period. Most performance management tools either don't acquire all of the necessary information, or discard it too quickly.

Next generation performance-management solutions must be capable of obtaining and storing the most granular information for a meaningful, extended duration. Doing so empowers the operations and IT teams to conduct real-time analysis, as well as go back in time to discrete points in an effort to assess and correlate environments with intermittent trouble reports.

It also promotes the development of nominal performance baselines over the short-, medium-, and long-term so deviations can be identified and addressed as early as possible.

With the right performance management solution, businesses can transition smoothly into a consolidated data center culture, meet the needs of business units and end users, and truly make today’s IT maxim of “do more with less” a reality.

Belinda Yung-Rubke is Director of Field Marketing for Fluke Networks.

Related Links:

www.flukenetworks.com

5 Benefits of Data Center Consolidation

Hot Topics

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...