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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

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...