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

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 4 covers tools that help you leverage performance data.

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

17. AUTOMATED ALERT CORRELATION

Hybrid cloud brings an unmatched level of fragmentation and complexity, compounded by modernization in application development - with the uptake of continuous delivery, infrastructure as code, containerization, and the use of micro-services. This exacerbates an already painful problem of the inability to scale manual processes for incident detection, investigation and collaboration in order to keep up with the growing volume of alerts. Automated alert correlation, that delivers enriched and actionable insight into incidents, is the need of the hour. This bridge between the gap of machine generated alerts and human understanding is the key to ensuring application performance with faster time to resolution.
Mala Ramakrishnan
Head of Product Marketing, BigPanda

18. SINGLE PANE OF GLASS

A solution that seamlessly monitors applications across hybrid environments is a necessity. Only a single pane of glass can equip IT teams with the insights they need to plan for capacity, release apps and to monitor applications that run on distributed production environments.
Krishnan Badrinarayanan
Sr. Product Marketing Manager, Riverbed

Create greater gravity around a single management console. Enterprises need to extend real-time performance analytics and IT efficiencies beyond conventional on-premise orthodoxies to include the public cloud resources while at the same time assuring service delivery quality and self-healing functions across conventional infrastructure silos.
Atchison Frazer
VP of Marketing, Xangati

With both on-premises and cloud resources to manage in a hybrid IT environment, a monitoring toolset that quickly surfaces a single point of truth across those platforms is essential and will increase the efficiency and effectiveness of monitoring as a discipline. The normalization of utilization metrics, saturation alerts and error events from applications, regardless of their location, enables a more efficient approach to remediation, troubleshooting and optimization.
Kong Yang
Head Geek, SolarWinds

19. ROOT CAUSE ANALYSIS

The most important word for organizations building out a hybrid cloud is "anticipation." Issues that threaten performance, security, and service availability are inevitable, and balancing the clear benefits of hybrid clouds — tailoring the solution to the need, lower costs, and improved manageability — are the challenges: hybrid clouds typically present a broader attack surface and have more PFPs ("Potential Failure Points") than less complex systems. Preparing for – rather than reacting to – these issues is cost effective and leads to a faster MTTR ("Mean Time To Resolution") for both performance and security issues. How? Enhancing monitoring and investigation capabilities, with a particular emphasis on forensics, the process of getting quickly to root cause. Application, network, and security forensics should all be in place and operational before a problem occurs, not after, for any organization building out a hybrid cloud.
Mandana Javaheri
CTO, Savvius

20. DEPLOYMENT AUTOMATION FOR MULTIPLE OPEN SOURCE MONITORING APPS

Automation is the best way to ensure app performance in any hybrid cloud environment. Companies should look for solutions that can automate the deployment of a wide range of open source Big Data applications to allow for optimal flexibility in the use of application platforms. One such category of open source applications allows businesses to monitor application performance. This type of modern open source software and application monitoring technology can be supported on many different platforms, making it hybrid-cloud compatible. Automation eliminates the time consuming and error-prone manual system engineering of these open source distributed systems. Because different open source tools have different degrees of complexity, automation commoditizes this “heavy lifting” and allows a greater audience of perspective users to take advantage of more of these tools. Its no longer just the “big data elite” that can take advantage of all of the tools in the market today.
Dave Hirko
Managing Partner, Stackspace

21. VM LOAD BALANCING AND MONITORING

Virtual machines that are overloaded with traffic can't efficiently run applications in the hybrid cloud, leading to app lag times and performance delays. Load balancing tools can effectively distribute day traffic to VMs. and monitoring gives IT teams complete, easy visibility into the traffic on each VM, along with real-time reports on application delivery. By monitoring the traffic, you can eliminate any guesswork relative to app performance, wherever you're deploying.
Simon Taylor
SVP and GM, Comtrade System Software and Tools

Read 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 5, covering approaches you might not have thought about.

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

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 4 covers tools that help you leverage performance data.

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

17. AUTOMATED ALERT CORRELATION

Hybrid cloud brings an unmatched level of fragmentation and complexity, compounded by modernization in application development - with the uptake of continuous delivery, infrastructure as code, containerization, and the use of micro-services. This exacerbates an already painful problem of the inability to scale manual processes for incident detection, investigation and collaboration in order to keep up with the growing volume of alerts. Automated alert correlation, that delivers enriched and actionable insight into incidents, is the need of the hour. This bridge between the gap of machine generated alerts and human understanding is the key to ensuring application performance with faster time to resolution.
Mala Ramakrishnan
Head of Product Marketing, BigPanda

18. SINGLE PANE OF GLASS

A solution that seamlessly monitors applications across hybrid environments is a necessity. Only a single pane of glass can equip IT teams with the insights they need to plan for capacity, release apps and to monitor applications that run on distributed production environments.
Krishnan Badrinarayanan
Sr. Product Marketing Manager, Riverbed

Create greater gravity around a single management console. Enterprises need to extend real-time performance analytics and IT efficiencies beyond conventional on-premise orthodoxies to include the public cloud resources while at the same time assuring service delivery quality and self-healing functions across conventional infrastructure silos.
Atchison Frazer
VP of Marketing, Xangati

With both on-premises and cloud resources to manage in a hybrid IT environment, a monitoring toolset that quickly surfaces a single point of truth across those platforms is essential and will increase the efficiency and effectiveness of monitoring as a discipline. The normalization of utilization metrics, saturation alerts and error events from applications, regardless of their location, enables a more efficient approach to remediation, troubleshooting and optimization.
Kong Yang
Head Geek, SolarWinds

19. ROOT CAUSE ANALYSIS

The most important word for organizations building out a hybrid cloud is "anticipation." Issues that threaten performance, security, and service availability are inevitable, and balancing the clear benefits of hybrid clouds — tailoring the solution to the need, lower costs, and improved manageability — are the challenges: hybrid clouds typically present a broader attack surface and have more PFPs ("Potential Failure Points") than less complex systems. Preparing for – rather than reacting to – these issues is cost effective and leads to a faster MTTR ("Mean Time To Resolution") for both performance and security issues. How? Enhancing monitoring and investigation capabilities, with a particular emphasis on forensics, the process of getting quickly to root cause. Application, network, and security forensics should all be in place and operational before a problem occurs, not after, for any organization building out a hybrid cloud.
Mandana Javaheri
CTO, Savvius

20. DEPLOYMENT AUTOMATION FOR MULTIPLE OPEN SOURCE MONITORING APPS

Automation is the best way to ensure app performance in any hybrid cloud environment. Companies should look for solutions that can automate the deployment of a wide range of open source Big Data applications to allow for optimal flexibility in the use of application platforms. One such category of open source applications allows businesses to monitor application performance. This type of modern open source software and application monitoring technology can be supported on many different platforms, making it hybrid-cloud compatible. Automation eliminates the time consuming and error-prone manual system engineering of these open source distributed systems. Because different open source tools have different degrees of complexity, automation commoditizes this “heavy lifting” and allows a greater audience of perspective users to take advantage of more of these tools. Its no longer just the “big data elite” that can take advantage of all of the tools in the market today.
Dave Hirko
Managing Partner, Stackspace

21. VM LOAD BALANCING AND MONITORING

Virtual machines that are overloaded with traffic can't efficiently run applications in the hybrid cloud, leading to app lag times and performance delays. Load balancing tools can effectively distribute day traffic to VMs. and monitoring gives IT teams complete, easy visibility into the traffic on each VM, along with real-time reports on application delivery. By monitoring the traffic, you can eliminate any guesswork relative to app performance, wherever you're deploying.
Simon Taylor
SVP and GM, Comtrade System Software and Tools

Read 28 Ways to Ensure Application Performance in the Hybrid Cloud - Part 5, covering approaches you might not have thought about.

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

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

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

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