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An Interview with Bill Karpovich from Zenoss

Pete Goldin
APMdigest

In BSMdigest’s exclusive interview, Zenoss CEO Bill Karpovich discusses Business Service Management in the cloud.

BSM: Are companies moving their mission-critical business applications to the cloud or are they testing it first, with less critical applications?

BK: The general answer is testing first, but it also depends on what kind of a company you are. If you’re a new business that is entirely web-centric, like say a fashion e-tailer driving buyers to flash sales events, then your best bet is to have an elastic cloud-based model built from the ground up to take advantage of the cloud.

Now, on the other hand, if you are a more traditional enterprise, your business critical applications will most likely only migrate to the cloud after the lesser critical applications have been successfully migrated. We’ve seen this phenomenon in virtualization whereby business critical apps only get virtualized after the low hanging fruit of non-critical apps have been virtualized.

BSM: Are companies that deploy private clouds having trouble getting the business side of their organizations to buy into or have confidence in the cloud?

BK: Confidence in the cloud from a business owner’s perspective means confidence in the ability to assure service levels (performance and availability) to their business critical applications. The cloud involves a supporting infrastructure shift from a one-application-one-server service delivery paradigm where service could actually be assured through over provisioning of resources to a shared, dynamic resource delivery. This makes insight, visibility and service delivery assurance much more complex. So while it is easy to perhaps understand the cost efficiencies associated with cloud computing, service risk is what drives a lack of confidence.

BSM: What are the greatest BSM challenges companies face when they move to a private cloud?

BK: Moving to the cloud, either private, public or hybrid, means that you have essentially adopted an IT-as-a-Service paradigm. Done well, it means that your IT operation is self-service driven off of a service catalog with appropriate chargeback in place. The challenges here are many including the evolution of the organization, tools and processes.

For example, from an organization perspective, there is the breaking down of traditional organo-technical silos with a clear line-of-sight towards service delivery to the customer. New skills will be required.

In the area of tools, a brand new set of tools that are service aware, real-time, unified, multi-tenant and automated are required to support visibility and control of the next generation dynamic cloud infrastructure.

BSM: Do you feel most monitoring and management solutions are unable to handle the cloud?

BK: Yes. Virtualization and cloud change everything that we know relative to service assurance monitoring. There are many layers that are interconnected in this new infrastructure model that need to come together to assure service. These include physical unified computing servers like UCS that contain policy, virtualization and storage layers and then cloud layers. Add to this the fact that the configuration of resources is changing dynamically then this of course points to a completely different set of needs whereby the manual CMDB update is a thing of the past. Legacy tools are siloed, fragmented, static and single tenant. They have no notion of a real-time service model.

BSM: What is a must-have for a monitoring solution to work in a private cloud?

BK: If I had to pick one thing it would be dynamic model-driven monitoring. There are too many moving parts to keep up with either in an operator’s head, or in Excel spreadsheets. What is required is a model that is able to automatically and continuously keep up-to-date with changes to the dynamic configuration and to provide real-time insight and control into the service dependency model. This, in my mind, is the must-have for monitoring highly dynamic cloud environments, whether private or public.

And a real-time service model isn’t just something you bolt onto the side of your legacy-monitoring tool. It needs to be architected and purpose built from the ground up with this application in mind.

BSM: Everyone seems to agree that most IT environments will be hybrid virtual and physical environments for the near future. Why is it important to have one monitoring solution that covers both environments?

BK: There are a few reasons. I like to call these the three C’s; context, consistency and completeness.

Let’s start with context. When troubleshooting or looking at a particular incident, if everyone is working from the same dataset that covers both physical and virtual within the same model and with the same timestamps, then you can avoid the silo wars.

Consistency and thus operational efficiency comes about when the operations team uses the same uniform toolset.

Completeness is important when troubleshooting a performance problem where for example you might use one tool to determine the performance of the virtualization server and then a different tool to determine the performance of the guest OS and then try to correlate these at a historical point-in-time. Swivel-chair monitoring between different toolsets should be a thing of the past for monitoring hybrid environments.

BSM: What are the differentiating capabilities of the new Zenoss 3.0 release?

BK: In July we released Zenoss Enterprise 3.0 and our Dynamic Service Assurance vision. This release was the culmination of a lot of UI work that now enables users to visualize, search and interact more productively with the Zenoss real-time service model.

We believe that we are the first to deliver the ability to provide single-pane-of-glass insight and service assurance across all of the various interconnected physical, virtual, network, storage, UCS and vCloud computing layers.

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.

Related Links:

www.zenoss.com

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An Interview with Bill Karpovich from Zenoss

Pete Goldin
APMdigest

In BSMdigest’s exclusive interview, Zenoss CEO Bill Karpovich discusses Business Service Management in the cloud.

BSM: Are companies moving their mission-critical business applications to the cloud or are they testing it first, with less critical applications?

BK: The general answer is testing first, but it also depends on what kind of a company you are. If you’re a new business that is entirely web-centric, like say a fashion e-tailer driving buyers to flash sales events, then your best bet is to have an elastic cloud-based model built from the ground up to take advantage of the cloud.

Now, on the other hand, if you are a more traditional enterprise, your business critical applications will most likely only migrate to the cloud after the lesser critical applications have been successfully migrated. We’ve seen this phenomenon in virtualization whereby business critical apps only get virtualized after the low hanging fruit of non-critical apps have been virtualized.

BSM: Are companies that deploy private clouds having trouble getting the business side of their organizations to buy into or have confidence in the cloud?

BK: Confidence in the cloud from a business owner’s perspective means confidence in the ability to assure service levels (performance and availability) to their business critical applications. The cloud involves a supporting infrastructure shift from a one-application-one-server service delivery paradigm where service could actually be assured through over provisioning of resources to a shared, dynamic resource delivery. This makes insight, visibility and service delivery assurance much more complex. So while it is easy to perhaps understand the cost efficiencies associated with cloud computing, service risk is what drives a lack of confidence.

BSM: What are the greatest BSM challenges companies face when they move to a private cloud?

BK: Moving to the cloud, either private, public or hybrid, means that you have essentially adopted an IT-as-a-Service paradigm. Done well, it means that your IT operation is self-service driven off of a service catalog with appropriate chargeback in place. The challenges here are many including the evolution of the organization, tools and processes.

For example, from an organization perspective, there is the breaking down of traditional organo-technical silos with a clear line-of-sight towards service delivery to the customer. New skills will be required.

In the area of tools, a brand new set of tools that are service aware, real-time, unified, multi-tenant and automated are required to support visibility and control of the next generation dynamic cloud infrastructure.

BSM: Do you feel most monitoring and management solutions are unable to handle the cloud?

BK: Yes. Virtualization and cloud change everything that we know relative to service assurance monitoring. There are many layers that are interconnected in this new infrastructure model that need to come together to assure service. These include physical unified computing servers like UCS that contain policy, virtualization and storage layers and then cloud layers. Add to this the fact that the configuration of resources is changing dynamically then this of course points to a completely different set of needs whereby the manual CMDB update is a thing of the past. Legacy tools are siloed, fragmented, static and single tenant. They have no notion of a real-time service model.

BSM: What is a must-have for a monitoring solution to work in a private cloud?

BK: If I had to pick one thing it would be dynamic model-driven monitoring. There are too many moving parts to keep up with either in an operator’s head, or in Excel spreadsheets. What is required is a model that is able to automatically and continuously keep up-to-date with changes to the dynamic configuration and to provide real-time insight and control into the service dependency model. This, in my mind, is the must-have for monitoring highly dynamic cloud environments, whether private or public.

And a real-time service model isn’t just something you bolt onto the side of your legacy-monitoring tool. It needs to be architected and purpose built from the ground up with this application in mind.

BSM: Everyone seems to agree that most IT environments will be hybrid virtual and physical environments for the near future. Why is it important to have one monitoring solution that covers both environments?

BK: There are a few reasons. I like to call these the three C’s; context, consistency and completeness.

Let’s start with context. When troubleshooting or looking at a particular incident, if everyone is working from the same dataset that covers both physical and virtual within the same model and with the same timestamps, then you can avoid the silo wars.

Consistency and thus operational efficiency comes about when the operations team uses the same uniform toolset.

Completeness is important when troubleshooting a performance problem where for example you might use one tool to determine the performance of the virtualization server and then a different tool to determine the performance of the guest OS and then try to correlate these at a historical point-in-time. Swivel-chair monitoring between different toolsets should be a thing of the past for monitoring hybrid environments.

BSM: What are the differentiating capabilities of the new Zenoss 3.0 release?

BK: In July we released Zenoss Enterprise 3.0 and our Dynamic Service Assurance vision. This release was the culmination of a lot of UI work that now enables users to visualize, search and interact more productively with the Zenoss real-time service model.

We believe that we are the first to deliver the ability to provide single-pane-of-glass insight and service assurance across all of the various interconnected physical, virtual, network, storage, UCS and vCloud computing layers.

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.

Related Links:

www.zenoss.com

Hot Topic
The Latest
The Latest 10

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 ...