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BSM to the Rescue

Survey Says: Monitoring and Managing the Cloud is Top Concern

In September, Zenoss released the 2010 Virtualization and Cloud Computing Survey, which took the temperature of over 200 IT professionals about their reasons for using virtualization and the cloud. Some of our results were about as surprising as rain in Seattle: 40.7% of survey respondents said they prefer to deploy servers virtually, 79.3% of them said they are using VMware and the number one goal with regards to using virtual infrastructure was to save money. Many of the results were more intriguing, but the conclusion that most piqued our interest here at Zenoss was that the number two concern about cloud computing, after security, was management/monitoring.

As cloud computing becomes more popular it’s also becoming more complex. In Pete Goldin’s article in BSMdigest last May (“Virtualization Changes Everything”), Olivier Thierry of Zenoss talked a little bit about the tricky new layer that virtualization has created. Virtualization makes many aspects of business easier by automating processes, but it also requires an entirely different set of tools from those used to manage a traditional, physical environment. Most legacy monitoring and management solutions are ill equipped to handle the cloud because they’re static, fragmented and single-tenant. In contrast, newer tools need to be real-time, unified and multi-tenant in order to offer visibility and control of a dynamic cloud infrastructure. All too often these old tools and new tools don’t play nicely together and the task of integrating them has created a need for specialists. As a result, virtualization management today can be a dreadful silo and as it turns out, nobody likes that: 70.7% of the people we surveyed prefer tools that manage all infrastructure rather than point solutions that are specific to virtualization.

There are many ways in which business service management (BSM) can help break up that silo and navigate the often challenging task of deploying a private or public cloud environment. If a business application fails, a common reaction is to reprovision (a.k.a. pile on more resources). But the only way to solve the problem is to find the problem first: figure out why something didn’t perform by using a tool that can keep up with a continuously changing configuration. Network monitoring and systems management providers like Zenoss and others can offer answers to critical questions about servers and dependencies. With the right set of management tools, processes and methods, businesses can be confident that their IT infrastructures are working efficiently.

But what if your organization isn’t ready to virtualize completely? After all, 73.3% of our survey respondents hadn’t made a decision on their virtualization management solution and only 29.3% said they wanted to use virtualization everywhere. Though I can understand their concerns, virtualization is here to stay and cloud computing’s numerous advantages are too compelling to ignore completely. I’d advise those who are hesitant not to wait, but to take things one at a time. Start by virtualizing part of your infrastructure. Integrate the management of your virtualized environment with your physical datacenter, and then with the proper visualization and management tool in place so as to mitigate the risks, continue the journey to a more virtualized IT world.

About Bill Karpovich

Bill Karpovich, CEO and Co-Founder of Zenoss, conceived the company's disruptive business strategy and has successfully guided the company from start-up to a category leader. As an IT management and cloud computing visionary, Bill has been featured on the cover of InformationWeek Magazine and is frequently consulted by the media and industry analysts for his insights on IT management and the broader open source software market.

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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 ...

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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 ...

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BSM to the Rescue

Survey Says: Monitoring and Managing the Cloud is Top Concern

In September, Zenoss released the 2010 Virtualization and Cloud Computing Survey, which took the temperature of over 200 IT professionals about their reasons for using virtualization and the cloud. Some of our results were about as surprising as rain in Seattle: 40.7% of survey respondents said they prefer to deploy servers virtually, 79.3% of them said they are using VMware and the number one goal with regards to using virtual infrastructure was to save money. Many of the results were more intriguing, but the conclusion that most piqued our interest here at Zenoss was that the number two concern about cloud computing, after security, was management/monitoring.

As cloud computing becomes more popular it’s also becoming more complex. In Pete Goldin’s article in BSMdigest last May (“Virtualization Changes Everything”), Olivier Thierry of Zenoss talked a little bit about the tricky new layer that virtualization has created. Virtualization makes many aspects of business easier by automating processes, but it also requires an entirely different set of tools from those used to manage a traditional, physical environment. Most legacy monitoring and management solutions are ill equipped to handle the cloud because they’re static, fragmented and single-tenant. In contrast, newer tools need to be real-time, unified and multi-tenant in order to offer visibility and control of a dynamic cloud infrastructure. All too often these old tools and new tools don’t play nicely together and the task of integrating them has created a need for specialists. As a result, virtualization management today can be a dreadful silo and as it turns out, nobody likes that: 70.7% of the people we surveyed prefer tools that manage all infrastructure rather than point solutions that are specific to virtualization.

There are many ways in which business service management (BSM) can help break up that silo and navigate the often challenging task of deploying a private or public cloud environment. If a business application fails, a common reaction is to reprovision (a.k.a. pile on more resources). But the only way to solve the problem is to find the problem first: figure out why something didn’t perform by using a tool that can keep up with a continuously changing configuration. Network monitoring and systems management providers like Zenoss and others can offer answers to critical questions about servers and dependencies. With the right set of management tools, processes and methods, businesses can be confident that their IT infrastructures are working efficiently.

But what if your organization isn’t ready to virtualize completely? After all, 73.3% of our survey respondents hadn’t made a decision on their virtualization management solution and only 29.3% said they wanted to use virtualization everywhere. Though I can understand their concerns, virtualization is here to stay and cloud computing’s numerous advantages are too compelling to ignore completely. I’d advise those who are hesitant not to wait, but to take things one at a time. Start by virtualizing part of your infrastructure. Integrate the management of your virtualized environment with your physical datacenter, and then with the proper visualization and management tool in place so as to mitigate the risks, continue the journey to a more virtualized IT world.

About Bill Karpovich

Bill Karpovich, CEO and Co-Founder of Zenoss, conceived the company's disruptive business strategy and has successfully guided the company from start-up to a category leader. As an IT management and cloud computing visionary, Bill has been featured on the cover of InformationWeek Magazine and is frequently consulted by the media and industry analysts for his insights on IT management and the broader open source software market.

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 ...