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Do More with Your Data Center

Ofer Laksman

Today, most IT environments are constantly shifting, and the escalating costs might affect a data center's performance. CIOs, CTOs, DCOs and even CEOs must adapt to the needs and requirements, but without an effective planning process, any changes in demand could easily affect data systems which could result in decreased revenue, productivity, sales, and customer service.

When organizations lack the forecasting ability to predict resource needs, IT managers are left to make certain that capacities and resources remain supportive enough to meet the demands. All of this starts with accurate management and optimization of infrastructure, applications, and those business drivers that equate to revenue.

How to be More Proactive?

The trend continues for IT managers to respond to the multiple needs and requests (reactive mode), only to be overwhelmed by service demand peaks and valleys. Forecasting and reports need to be updated weekly and daily to give IT managers the real-time vision to react proactively so that data center capacity can remain ahead of service.

The goal then is to best determine how a data center's overall business drivers are utilizing its resources, and how the industry markets, legal, compliance, or initiatives can alter and have impacts on the outcome.

This is where having powerful analytical tools becomes important and a necessary business element, giving IT managers a more accurate view on industry trends, baseline shifts, or anomalies that could correlate costs and grouping reports.

Analytic tools can help provide a vertical and horizontal view and make you better prepared as demand spikes present themselves. Further, it can provide better control over purchases whereas each could be tied back to a real business demand.

Is Traditional Planning Leaving You Vulnerable?

When committing to a data center's resources without the right planning or predictive analysis tools, you might be left vulnerable. To ensure a data centers' resources can keep up with your market or demand needs, IT managers must automate their forecasting and the data metrics should be monitored and analyzed.

Further, IT managers must be able to run test scenarios to provide insight on the requirements their data center needs to reduce overall costs and risks. It remains important that IT managers understand not only the silos of data migrating, but the horizontal view across all business channels through their software and hardware. Such tools that can provide a full-scale horizontal view for planning and resource allocation becomes that key piece of information that is needed to best assist CIOs, CTOs, DCOs and even CEOs with metrics that the organization can use to become business drivers versus business liabilities.

Identify Efficient Assets

Does it come as a surprise that today's data centers are transforming into profit centers and business assets as they embrace cloud solutions, compliance, automation, machine learning, AI, and new, emerging technologies?

To fully understand these forward-facing technologies, the entire C-suite will need to rely on the most powerful software and tools within the market. These revolutionary tools will be required to monitor the future data center environments that are built around the lack of human intervention.

Equipped with the right tools, data center managers can improve their data center's cost efficiency by embracing the vertical and horizontal analytics that provide a full view of their data center's usage. The goal is not to reduce spending, but to have the ability to obtain more performance from what is being budgeted for and spent, to then improve service, overall.

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 ...

Do More with Your Data Center

Ofer Laksman

Today, most IT environments are constantly shifting, and the escalating costs might affect a data center's performance. CIOs, CTOs, DCOs and even CEOs must adapt to the needs and requirements, but without an effective planning process, any changes in demand could easily affect data systems which could result in decreased revenue, productivity, sales, and customer service.

When organizations lack the forecasting ability to predict resource needs, IT managers are left to make certain that capacities and resources remain supportive enough to meet the demands. All of this starts with accurate management and optimization of infrastructure, applications, and those business drivers that equate to revenue.

How to be More Proactive?

The trend continues for IT managers to respond to the multiple needs and requests (reactive mode), only to be overwhelmed by service demand peaks and valleys. Forecasting and reports need to be updated weekly and daily to give IT managers the real-time vision to react proactively so that data center capacity can remain ahead of service.

The goal then is to best determine how a data center's overall business drivers are utilizing its resources, and how the industry markets, legal, compliance, or initiatives can alter and have impacts on the outcome.

This is where having powerful analytical tools becomes important and a necessary business element, giving IT managers a more accurate view on industry trends, baseline shifts, or anomalies that could correlate costs and grouping reports.

Analytic tools can help provide a vertical and horizontal view and make you better prepared as demand spikes present themselves. Further, it can provide better control over purchases whereas each could be tied back to a real business demand.

Is Traditional Planning Leaving You Vulnerable?

When committing to a data center's resources without the right planning or predictive analysis tools, you might be left vulnerable. To ensure a data centers' resources can keep up with your market or demand needs, IT managers must automate their forecasting and the data metrics should be monitored and analyzed.

Further, IT managers must be able to run test scenarios to provide insight on the requirements their data center needs to reduce overall costs and risks. It remains important that IT managers understand not only the silos of data migrating, but the horizontal view across all business channels through their software and hardware. Such tools that can provide a full-scale horizontal view for planning and resource allocation becomes that key piece of information that is needed to best assist CIOs, CTOs, DCOs and even CEOs with metrics that the organization can use to become business drivers versus business liabilities.

Identify Efficient Assets

Does it come as a surprise that today's data centers are transforming into profit centers and business assets as they embrace cloud solutions, compliance, automation, machine learning, AI, and new, emerging technologies?

To fully understand these forward-facing technologies, the entire C-suite will need to rely on the most powerful software and tools within the market. These revolutionary tools will be required to monitor the future data center environments that are built around the lack of human intervention.

Equipped with the right tools, data center managers can improve their data center's cost efficiency by embracing the vertical and horizontal analytics that provide a full view of their data center's usage. The goal is not to reduce spending, but to have the ability to obtain more performance from what is being budgeted for and spent, to then improve service, overall.

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 ...