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28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 5

APMdigest asked experts from across the industry – including consultants, analysts and the leading vendors – for recommendations on the best way to ensure application performance in the hybrid cloud. Part 5, the final installment, covers approaches you might not have thought about.

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 1

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 2

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 3

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 4

22. FOCUS ON PERFORMANCE DURING DEVELOPMENT

Tools don't ensure great performance in hybrid cloud environments. Tools help you in your testing phase to ensure that the application you push to production meets your performance requirements. Afterwards tools will help you to monitor the end user experience (performance and availability) and will help you to make sure you can guarantee the promised experience. The best way to ensure great performance is to make performance a requirement from day one. Make sure you're developers understand the performance of each line of code they write.
Coen Meerbeek
Online Performance Consultant and Founder of Blue Factory Internet

23. TEST AGAINST REAL NETWORK CONDITIONS

The biggest challenge with Hybrid Cloud is the switch between very different networks (often Lan to Wan) as the workload dynamically expands into the off-premises facilities. The network has a huge impact on application response time and performance and this must be mitigated in advance to prevent sharp increases in response time as the off-premises systems come into play during periods of high demand. The best way to do this is by utilizing Virtual test networks (network emulators) to try out (or test) these dynamic network changes prior to deployment of the solution. These products will replicate the real-world network conditions of both the private and public elements of the cloud solutions including transition between them. Taking this approach means you will have full insight into any potential issues before you commit time, money and resource to implementing a hybrid cloud solution.
Frank Puranik
Senior Technical Specialist, iTrinegy

24. KEEP MISSION CRITICAL APPLICATIONS IN-HOUSE

Hybrid cloud environments use a mix of on-premises, private cloud and third-party, public cloud services, allowing dynamic workload shifts as computing needs change. The major difference between the private and public cloud is that private clouds are not a shared resource, subject to overload from "neighbors" in the cloud. For this reason, when it comes to ensuring high performance for mission-critical, revenue-generating transactions, we recommend keeping these permanently in the private cloud, on mainframes (IBM's recently announced z13s is a strong option for mid-sized enterprises). Once that is established, organizations must include the mainframe as part of their overarching enterprise APM efforts. Today, an estimated 55 percent of enterprise applications touch mainframes, and IT managers need to be able to identify and address any mainframe bottlenecks that could impact performance.
Spencer Hallman
Product Manager, Compuware

25. FIND THE RIGHT SOLUTION PARTNER

Find the right partner. Invest in partners that bring the right added value to help you secure processes without the problem growing beyond your ability to handle it. Ensure your partner is aware of new technologies, trained and well-equipped to manage the breadth of various regulation requirements, and is able to provide (on your behalf) the tools customers need to answer market compliance. It's important that no component of what you choose to solve the business problem becomes the weak link.
Joan Groleau
Director, North America Channel Sales, Ipswitch

26. EXTEND TEAM SKILLS AND KNOWLEDGE

Today's IT professionals need to extend across traditional generalist or specialist roles and become polymaths in order to be successful in the hybrid IT world as they pivot across multiple technology domains. The most important skills and knowledge IT professionals need to develop or improve to successfully manage hybrid IT environments are service-oriented architectures, automation, vendor management, application migration, distributed architectures, API and hybrid IT monitoring and management tools and metrics.
Kong Yang
Head Geek, SolarWinds

27. ASSIGN APPLICATIONS TO THE RIGHT CLOUD ENVIRONMENT

Although there is a widening array of APM tools available to the challenges of the hybrid cloud alternatives, the key to ensure application performance is understanding the strengths and weaknesses of each cloud offering and properly assigning the application deployment to the appropriate cloud environment.
Jeffrey Kaplan
Managing Director of THINKstrategies and Founder of the Cloud Showplace

28. MANAGE THE FULL LIFECYCLE OF THE CLOUD SERVICE

Application performance in a cloud environment, whether public, private or hybrid, is about more than simply monitoring the application, it's about managing the full lifecycle of the cloud service from provisioning and maintaining the right configurations to remediating security vulnerabilities to planning for capacity growth. You need a cloud management platform that not only thrives in a hybrid environment but also enables applications to perform optimally.
Bill Berutti
President of the Cloud, Data Center and Performance Businesses at BMC Software

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 ...

28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 5

APMdigest asked experts from across the industry – including consultants, analysts and the leading vendors – for recommendations on the best way to ensure application performance in the hybrid cloud. Part 5, the final installment, covers approaches you might not have thought about.

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 1

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 2

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 3

Start with 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 4

22. FOCUS ON PERFORMANCE DURING DEVELOPMENT

Tools don't ensure great performance in hybrid cloud environments. Tools help you in your testing phase to ensure that the application you push to production meets your performance requirements. Afterwards tools will help you to monitor the end user experience (performance and availability) and will help you to make sure you can guarantee the promised experience. The best way to ensure great performance is to make performance a requirement from day one. Make sure you're developers understand the performance of each line of code they write.
Coen Meerbeek
Online Performance Consultant and Founder of Blue Factory Internet

23. TEST AGAINST REAL NETWORK CONDITIONS

The biggest challenge with Hybrid Cloud is the switch between very different networks (often Lan to Wan) as the workload dynamically expands into the off-premises facilities. The network has a huge impact on application response time and performance and this must be mitigated in advance to prevent sharp increases in response time as the off-premises systems come into play during periods of high demand. The best way to do this is by utilizing Virtual test networks (network emulators) to try out (or test) these dynamic network changes prior to deployment of the solution. These products will replicate the real-world network conditions of both the private and public elements of the cloud solutions including transition between them. Taking this approach means you will have full insight into any potential issues before you commit time, money and resource to implementing a hybrid cloud solution.
Frank Puranik
Senior Technical Specialist, iTrinegy

24. KEEP MISSION CRITICAL APPLICATIONS IN-HOUSE

Hybrid cloud environments use a mix of on-premises, private cloud and third-party, public cloud services, allowing dynamic workload shifts as computing needs change. The major difference between the private and public cloud is that private clouds are not a shared resource, subject to overload from "neighbors" in the cloud. For this reason, when it comes to ensuring high performance for mission-critical, revenue-generating transactions, we recommend keeping these permanently in the private cloud, on mainframes (IBM's recently announced z13s is a strong option for mid-sized enterprises). Once that is established, organizations must include the mainframe as part of their overarching enterprise APM efforts. Today, an estimated 55 percent of enterprise applications touch mainframes, and IT managers need to be able to identify and address any mainframe bottlenecks that could impact performance.
Spencer Hallman
Product Manager, Compuware

25. FIND THE RIGHT SOLUTION PARTNER

Find the right partner. Invest in partners that bring the right added value to help you secure processes without the problem growing beyond your ability to handle it. Ensure your partner is aware of new technologies, trained and well-equipped to manage the breadth of various regulation requirements, and is able to provide (on your behalf) the tools customers need to answer market compliance. It's important that no component of what you choose to solve the business problem becomes the weak link.
Joan Groleau
Director, North America Channel Sales, Ipswitch

26. EXTEND TEAM SKILLS AND KNOWLEDGE

Today's IT professionals need to extend across traditional generalist or specialist roles and become polymaths in order to be successful in the hybrid IT world as they pivot across multiple technology domains. The most important skills and knowledge IT professionals need to develop or improve to successfully manage hybrid IT environments are service-oriented architectures, automation, vendor management, application migration, distributed architectures, API and hybrid IT monitoring and management tools and metrics.
Kong Yang
Head Geek, SolarWinds

27. ASSIGN APPLICATIONS TO THE RIGHT CLOUD ENVIRONMENT

Although there is a widening array of APM tools available to the challenges of the hybrid cloud alternatives, the key to ensure application performance is understanding the strengths and weaknesses of each cloud offering and properly assigning the application deployment to the appropriate cloud environment.
Jeffrey Kaplan
Managing Director of THINKstrategies and Founder of the Cloud Showplace

28. MANAGE THE FULL LIFECYCLE OF THE CLOUD SERVICE

Application performance in a cloud environment, whether public, private or hybrid, is about more than simply monitoring the application, it's about managing the full lifecycle of the cloud service from provisioning and maintaining the right configurations to remediating security vulnerabilities to planning for capacity growth. You need a cloud management platform that not only thrives in a hybrid environment but also enables applications to perform optimally.
Bill Berutti
President of the Cloud, Data Center and Performance Businesses at BMC Software

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 ...