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An Interview with VMware’s Al Sargent

Pete Goldin
APMdigest

In BSMdigest’s exclusive interview, Al Sargent, Sr. Product Marketing Manager at VMware, discusses the Business Service Management news coming out of VMworld, and the monitoring and management challenges of the cloud.

BSM: Many companies in the Business Service Management space are exhibiting at, making announcements at and attending VMworld. Why is VMworld such an important event for monitoring and management software companies?

AS: The reason is that VMworld has become the de-facto conference for modern datacenter management. It is more than just one vendor’s conference.

Two of the most important trends in datacenter management are virtualization and cloud computing. VMware is at the center of virtualization with Vsphere, but in addition to that, VMware’s new vFabric cloud application platform provides customers with a pragmatic and evolutionary path to cloud computing.

BSM: What announcements did VMware make at VMworld to address the monitoring and management needs of the market?

AS: The main announcement was around the introduction of vFabric, and how Hyperic supports the monitoring of cloud applications. One key goal for Hyperic going forward is to provide best-in-class monitoring of cloud applications, whether running on our vFabric cloud application platform or a platform from another vendor.

Fulfilling this goal entails the following three capabilities: support for dynamic architectures and elastic capacity; extreme scalability to collect all the performance data from all the VMs in the data center; and monitoring a large number of application infrastructure components.

BSM: You mention the massive amount of performance data. Why is there so much more performance data coming out of the cloud?

AS: Think about a data center with a thousand servers, which is actually a pretty small datacenter. If you are collecting 1,000 metrics on each one of those 1,000 virtual machines every minute, that is one million metrics per minute that needs to be processed. Even a midsized firm can hit this level of metrics data.

BSM: So one factor is the number of VMs. Is another factor that there are more metrics coming out of each application because of all the changes that are going on?

AS: Exactly. That is a really good point. Another thing is this inexorable march towards web applications that streamline business processes and therefore need to accommodate surges in the business cycle. Every industry has these cycles, and applications need to be architected to accommodate the surges in demand that accompany them. As the infrastructure scales up and scales down, that is going to mean more changes in your datacenter and that is going to mean that at the peak of those surges you are going to have a lot of VMs throwing off a lot of performance metrics, and your monitoring tool has to be able to accommodate that.

BSM: So is it just a matter of scalability? The ability to handle many more metrics?

There are three elements. One is the peak number of VMs. Second, it is the fact that the number of those VMs varies over time. And third is the fact that the stakes are so much higher. During these surge periods, if your application is slow or unavailable entirely, for every minute of performance problems you are going to have significant lost revenue.

BSM: What are the current monitoring technologies missing that do not allow them be able to handle this new environment?

AS: We are going to see more metrics collected more and more frequently. Believe it or not, there are many monitoring tools that think it’s perfectly acceptable to capture metrics every 10 minutes. That might have worked fine in the late 90s when those tools first came out, but today that will not cut it.

We are seeing a need for monitoring tools that monitor very frequently - as frequently as one minute or less. There are two big drivers for this. One is the fact that consumer software is driving the enterprise software innovation. Think of Twitter: users expect that when you post something to Twitter, it is immediately available to the world. Users today expect software to work in real time, and that expectation weaves its way into the requirements for monitoring tools and reporting metrics.

The second point goes back to surges in web application workloads due to business cycles. To accommodate those surges, you need to figure out how much you need to dynamically scale up your virtualized environment. Doing that confidently requires that you collect performance metrics very frequently.

Here’s an example: Let’s say you only spin up a new app server VM if you have four datapoints indicating that the app is running slowly, because you don’t want to spin up a new VM based on a single, possibly spurious data point. If you collect metrics once every 15 minutes – a common setting among legacy tools – it will be a whole hour before you spawn a new VM. No business can afford an entire hour of sluggishness in its critical apps. You can imagine the conversation that the business would have with IT.

But let’s say you collect metrics once a minute. In four minutes, you’ll have four datapoints, and can confidently spin up that new VM. IT responds quickly, and the business and customers are happy.

BSM: At VMworld, VMware announced that the introduction of the vFabric cloud application platform will drive IT as a service. Do you see vFabric helping users of the cloud move to a more business-centric view of IT service?

Yes, vFabric lets IT move in that direction. IT can start to scale infrastructure more quickly in response to the needs of the business, and that frees them up to understand more about the cycles of the business. For instance, if IT serves a retail business, they can think about the major shopping days during the holidays, and when they’ll need to ramp up their infrastructure during those shopping days.

About Al Sargent

Al Sargent, Sr. Product Marketing Manager at VMware, handles product marketing for Hyperic, VMware's application monitoring product. He has 15+ years of experience in product management and marketing, business development, sales, and engineering at VMware, Oracle, Mercury and startups such as Wily Technology.

Related Links:

www.springsource.com/hyperic

blog.hyperic.com

twitter.com/hyperic

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An Interview with VMware’s Al Sargent

Pete Goldin
APMdigest

In BSMdigest’s exclusive interview, Al Sargent, Sr. Product Marketing Manager at VMware, discusses the Business Service Management news coming out of VMworld, and the monitoring and management challenges of the cloud.

BSM: Many companies in the Business Service Management space are exhibiting at, making announcements at and attending VMworld. Why is VMworld such an important event for monitoring and management software companies?

AS: The reason is that VMworld has become the de-facto conference for modern datacenter management. It is more than just one vendor’s conference.

Two of the most important trends in datacenter management are virtualization and cloud computing. VMware is at the center of virtualization with Vsphere, but in addition to that, VMware’s new vFabric cloud application platform provides customers with a pragmatic and evolutionary path to cloud computing.

BSM: What announcements did VMware make at VMworld to address the monitoring and management needs of the market?

AS: The main announcement was around the introduction of vFabric, and how Hyperic supports the monitoring of cloud applications. One key goal for Hyperic going forward is to provide best-in-class monitoring of cloud applications, whether running on our vFabric cloud application platform or a platform from another vendor.

Fulfilling this goal entails the following three capabilities: support for dynamic architectures and elastic capacity; extreme scalability to collect all the performance data from all the VMs in the data center; and monitoring a large number of application infrastructure components.

BSM: You mention the massive amount of performance data. Why is there so much more performance data coming out of the cloud?

AS: Think about a data center with a thousand servers, which is actually a pretty small datacenter. If you are collecting 1,000 metrics on each one of those 1,000 virtual machines every minute, that is one million metrics per minute that needs to be processed. Even a midsized firm can hit this level of metrics data.

BSM: So one factor is the number of VMs. Is another factor that there are more metrics coming out of each application because of all the changes that are going on?

AS: Exactly. That is a really good point. Another thing is this inexorable march towards web applications that streamline business processes and therefore need to accommodate surges in the business cycle. Every industry has these cycles, and applications need to be architected to accommodate the surges in demand that accompany them. As the infrastructure scales up and scales down, that is going to mean more changes in your datacenter and that is going to mean that at the peak of those surges you are going to have a lot of VMs throwing off a lot of performance metrics, and your monitoring tool has to be able to accommodate that.

BSM: So is it just a matter of scalability? The ability to handle many more metrics?

There are three elements. One is the peak number of VMs. Second, it is the fact that the number of those VMs varies over time. And third is the fact that the stakes are so much higher. During these surge periods, if your application is slow or unavailable entirely, for every minute of performance problems you are going to have significant lost revenue.

BSM: What are the current monitoring technologies missing that do not allow them be able to handle this new environment?

AS: We are going to see more metrics collected more and more frequently. Believe it or not, there are many monitoring tools that think it’s perfectly acceptable to capture metrics every 10 minutes. That might have worked fine in the late 90s when those tools first came out, but today that will not cut it.

We are seeing a need for monitoring tools that monitor very frequently - as frequently as one minute or less. There are two big drivers for this. One is the fact that consumer software is driving the enterprise software innovation. Think of Twitter: users expect that when you post something to Twitter, it is immediately available to the world. Users today expect software to work in real time, and that expectation weaves its way into the requirements for monitoring tools and reporting metrics.

The second point goes back to surges in web application workloads due to business cycles. To accommodate those surges, you need to figure out how much you need to dynamically scale up your virtualized environment. Doing that confidently requires that you collect performance metrics very frequently.

Here’s an example: Let’s say you only spin up a new app server VM if you have four datapoints indicating that the app is running slowly, because you don’t want to spin up a new VM based on a single, possibly spurious data point. If you collect metrics once every 15 minutes – a common setting among legacy tools – it will be a whole hour before you spawn a new VM. No business can afford an entire hour of sluggishness in its critical apps. You can imagine the conversation that the business would have with IT.

But let’s say you collect metrics once a minute. In four minutes, you’ll have four datapoints, and can confidently spin up that new VM. IT responds quickly, and the business and customers are happy.

BSM: At VMworld, VMware announced that the introduction of the vFabric cloud application platform will drive IT as a service. Do you see vFabric helping users of the cloud move to a more business-centric view of IT service?

Yes, vFabric lets IT move in that direction. IT can start to scale infrastructure more quickly in response to the needs of the business, and that frees them up to understand more about the cycles of the business. For instance, if IT serves a retail business, they can think about the major shopping days during the holidays, and when they’ll need to ramp up their infrastructure during those shopping days.

About Al Sargent

Al Sargent, Sr. Product Marketing Manager at VMware, handles product marketing for Hyperic, VMware's application monitoring product. He has 15+ years of experience in product management and marketing, business development, sales, and engineering at VMware, Oracle, Mercury and startups such as Wily Technology.

Related Links:

www.springsource.com/hyperic

blog.hyperic.com

twitter.com/hyperic

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 ...