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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

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

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

For fifteen years, observability lived downstream of everything else. Code shipped, something broke, an engineer went to the dashboards. The job was forensic. The pillars we built, such as logs, metrics, and traces, were designed for that role: tell a human what just happened, fast enough that they can make it stop. That role has quietly ended ...

Hybrid IT has become the standard operating model for enterprises — but that companies are still looking for the right hybrid IT mix, according to the 2026 State of the Data Center Report from CoreSite. After years of cloud migration and hybrid adoption, organizations are shifting their focus from deciding whether to use cloud, colocation or on-premises infrastructure to determining which workloads belong in each environment ...

Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...