Skip to main content

Cloud Adoption and the Benefits of a Performance Monitoring Strategy

Mike Marks
Riverbed

The ability to quickly respond to changes without losing focus or momentum is becoming a goal for businesses of all sizes, across all industries and markets. Business agility is often the sign of a well-run, and likely profitable, company. Achieving this goal means the company has successfully leveraged business-critical technology to increase their productivity and ensure the business is running at an optimal level.

With an emphasis on the application as the enabler of business agility, end-to-end visibility of the application performance has become critical. For example, the importance of something such as finding the source of performance delays, and correcting those delays with minimal to no impact on the end user experience, cannot be underestimated in achieving and maintaining business agility.

By taking advantage of performance monitoring, IT and business decision makers can gain better visibility into their cloud and application performance. Dedicated performance monitoring has become essential for providing visibility into all areas of application performance and keeping all aspects of the business running optimally. It also provides decision makers with insight into the entire application development and delivery process which includes a valuable understanding of how to manage resources and deadlines so that efficiencies can be exploited and costs mitigated.

Let's Get Visible, Visible!

An increased usage of cloud technologies is a great way to rein in costs associated with application development and real-time production environments. A move to the cloud offers many welcomed outcomes, including cost savings and efficiency improvements, but does not come without its fair share of challenges.

As the apps themselves are becoming increasingly more complex, data sources are becoming far more diverse and disparate. Users have come to expect low to no-latency and 24/7 availability. Additionally, the delivery chain that produces and supports these apps has radically shifted with the increasing adoption of DevOps processes, which while fostering communication and collaboration, has massively disrupted traditional development and operations groups.

The right performance monitoring solution offers a clear understanding of the behavior from the systems that support the application to the end-user experience. For executives and upper-level management that oversee performance management, visibility of this breadth and depth provides multiple benefits including a greater level of business agility, the ability to become a competitive differentiator for the business, as well as added attention to application development and production by IT; all of which will allow for stronger performance management processes and policies to be implemented, thus increasing collaboration across all lines of business. These are benefits any executive or manager would be happy to achieve individually, but a comprehensive view into performance management can provide visibility that helps to serve the whole business.

I Love IT When a Plan Comes Together

The IT and development organization can become the true heroes of a cloud-first business strategy. A modern development team is closest to the technology of a company giving IT the opportunity to have far greater visibility into the infrastructure, network, application, end-user experience and the effects of any modifications made to these areas.

From a development standpoint, embracing cloud technologies can be transformative and adopting a comprehensive performance monitoring strategy for these technologies can provide many valuable benefits:

■ Having a clear understanding of performance during the development process allows teams to meet application timelines and reduce issues.

■ Quick and proactive problem resolution allows for increased availability and reductions to both resolution timelines and negative user experience.

Greater visibility into the performance of all areas of cloud-based technologies can allow for business agility through strong support from both the management and IT organizational layers making success far more achievable.

Mike Marks is VP of Product Marketing at Riverbed

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Cloud Adoption and the Benefits of a Performance Monitoring Strategy

Mike Marks
Riverbed

The ability to quickly respond to changes without losing focus or momentum is becoming a goal for businesses of all sizes, across all industries and markets. Business agility is often the sign of a well-run, and likely profitable, company. Achieving this goal means the company has successfully leveraged business-critical technology to increase their productivity and ensure the business is running at an optimal level.

With an emphasis on the application as the enabler of business agility, end-to-end visibility of the application performance has become critical. For example, the importance of something such as finding the source of performance delays, and correcting those delays with minimal to no impact on the end user experience, cannot be underestimated in achieving and maintaining business agility.

By taking advantage of performance monitoring, IT and business decision makers can gain better visibility into their cloud and application performance. Dedicated performance monitoring has become essential for providing visibility into all areas of application performance and keeping all aspects of the business running optimally. It also provides decision makers with insight into the entire application development and delivery process which includes a valuable understanding of how to manage resources and deadlines so that efficiencies can be exploited and costs mitigated.

Let's Get Visible, Visible!

An increased usage of cloud technologies is a great way to rein in costs associated with application development and real-time production environments. A move to the cloud offers many welcomed outcomes, including cost savings and efficiency improvements, but does not come without its fair share of challenges.

As the apps themselves are becoming increasingly more complex, data sources are becoming far more diverse and disparate. Users have come to expect low to no-latency and 24/7 availability. Additionally, the delivery chain that produces and supports these apps has radically shifted with the increasing adoption of DevOps processes, which while fostering communication and collaboration, has massively disrupted traditional development and operations groups.

The right performance monitoring solution offers a clear understanding of the behavior from the systems that support the application to the end-user experience. For executives and upper-level management that oversee performance management, visibility of this breadth and depth provides multiple benefits including a greater level of business agility, the ability to become a competitive differentiator for the business, as well as added attention to application development and production by IT; all of which will allow for stronger performance management processes and policies to be implemented, thus increasing collaboration across all lines of business. These are benefits any executive or manager would be happy to achieve individually, but a comprehensive view into performance management can provide visibility that helps to serve the whole business.

I Love IT When a Plan Comes Together

The IT and development organization can become the true heroes of a cloud-first business strategy. A modern development team is closest to the technology of a company giving IT the opportunity to have far greater visibility into the infrastructure, network, application, end-user experience and the effects of any modifications made to these areas.

From a development standpoint, embracing cloud technologies can be transformative and adopting a comprehensive performance monitoring strategy for these technologies can provide many valuable benefits:

■ Having a clear understanding of performance during the development process allows teams to meet application timelines and reduce issues.

■ Quick and proactive problem resolution allows for increased availability and reductions to both resolution timelines and negative user experience.

Greater visibility into the performance of all areas of cloud-based technologies can allow for business agility through strong support from both the management and IT organizational layers making success far more achievable.

Mike Marks is VP of Product Marketing at Riverbed

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.