Skip to main content

Two APM Takeaways from Velocity Santa Clara 2014

Denis Goodwin

Last week my team and I spent several days at the Velocity conference for web application and performance – arguably the one place where the most technical of performance folk and the most business focused web folk come together and focus solely on application performance. Anyone with a vested interest is there to learn, debate and show off their latest and greatest products and ideas. As the team and I spent time talking to customers, attending sessions and visiting vendors I was struck by a couple of interesting trends that seemed to stand out.


1. Continuous Development/Integration + Tools Fragmentation

Interestingly enough, while everyone was talking about continuous integration, very few solutions actually play well with each other – never mind being integrated in the same platform. I was particularly struck by the tremendous amount of fragmentation in the market. A lot of vendors are solving just one part of the problem. As the CEO of one exhibitor said to me when I pressed him on this point: the specific pain points and their separate solutions represent a big enough problem as it is – solving the larger problem of bringing all the parts together is almost insurmountable at this particular moment in time for this market lifecycle. This is true for almost every APM vendor in the marketplace today.  

Many of the folks I spoke with at the show are using several solutions simultaneously in order to measure all different parts of the full APM spectrum — user experience, performance, and availability. This seemed at odds with the buzz around DevOps and continuous integration and delivery. If users aren’t able to standardize on a common tool to monitor their production web apps and APIs, how can they possibly be consistent in measuring the quality of their user’s experience while delivering those apps via continuous integration? If there are multiple tools being used to measure user experience via synthetic and real monitoring and load testing in production, how many are being added in pre-production environments? How does a team know what the varied data is showing them if each tool only shows an individual part on its own terms?

2. Load Testing = Very Popular Topic

It was interesting to see load testing get as much emphasis as it did, among both vendors and attendees. What really seemed to generate excitement was the importance of tightly connecting both load testing and synthetic monitoring.  Companies need the ability to apply load against their applications for a simultaneous understanding of the user experience – before going live. Without the ability to empathize with the end user, companies can never confidently deploy their applications. The move to continuous delivery and integration only amplifies the importance of stressing your applications on a regular basis and the need for tools that enable efficient load tests. It also calls for excellent diagnostic tools to facilitate fixes and so facilitate time to market.

Is it possible that what’s old is new again? Does continuous integration and delivery require a new way of doing old things? Is it simply applying the same approach to multiple environments simultaneously? It seems that bringing a consistency to measurement and assessment methodologies across environments, coupled with continuous assessment and feedback, is a key to ensuring that your software improves with each iteration. Equally important is an easy to deploy toolset that is accessible and provides insights to users developing applications as well as those supporting them in production.

Denis Goodwin is Director of Product Management, APM, AlertSite UXM, SmartBear Software.


Denis Goodwin at Velocity 2014

Hot Topics

The Latest

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

Two APM Takeaways from Velocity Santa Clara 2014

Denis Goodwin

Last week my team and I spent several days at the Velocity conference for web application and performance – arguably the one place where the most technical of performance folk and the most business focused web folk come together and focus solely on application performance. Anyone with a vested interest is there to learn, debate and show off their latest and greatest products and ideas. As the team and I spent time talking to customers, attending sessions and visiting vendors I was struck by a couple of interesting trends that seemed to stand out.


1. Continuous Development/Integration + Tools Fragmentation

Interestingly enough, while everyone was talking about continuous integration, very few solutions actually play well with each other – never mind being integrated in the same platform. I was particularly struck by the tremendous amount of fragmentation in the market. A lot of vendors are solving just one part of the problem. As the CEO of one exhibitor said to me when I pressed him on this point: the specific pain points and their separate solutions represent a big enough problem as it is – solving the larger problem of bringing all the parts together is almost insurmountable at this particular moment in time for this market lifecycle. This is true for almost every APM vendor in the marketplace today.  

Many of the folks I spoke with at the show are using several solutions simultaneously in order to measure all different parts of the full APM spectrum — user experience, performance, and availability. This seemed at odds with the buzz around DevOps and continuous integration and delivery. If users aren’t able to standardize on a common tool to monitor their production web apps and APIs, how can they possibly be consistent in measuring the quality of their user’s experience while delivering those apps via continuous integration? If there are multiple tools being used to measure user experience via synthetic and real monitoring and load testing in production, how many are being added in pre-production environments? How does a team know what the varied data is showing them if each tool only shows an individual part on its own terms?

2. Load Testing = Very Popular Topic

It was interesting to see load testing get as much emphasis as it did, among both vendors and attendees. What really seemed to generate excitement was the importance of tightly connecting both load testing and synthetic monitoring.  Companies need the ability to apply load against their applications for a simultaneous understanding of the user experience – before going live. Without the ability to empathize with the end user, companies can never confidently deploy their applications. The move to continuous delivery and integration only amplifies the importance of stressing your applications on a regular basis and the need for tools that enable efficient load tests. It also calls for excellent diagnostic tools to facilitate fixes and so facilitate time to market.

Is it possible that what’s old is new again? Does continuous integration and delivery require a new way of doing old things? Is it simply applying the same approach to multiple environments simultaneously? It seems that bringing a consistency to measurement and assessment methodologies across environments, coupled with continuous assessment and feedback, is a key to ensuring that your software improves with each iteration. Equally important is an easy to deploy toolset that is accessible and provides insights to users developing applications as well as those supporting them in production.

Denis Goodwin is Director of Product Management, APM, AlertSite UXM, SmartBear Software.


Denis Goodwin at Velocity 2014

Hot Topics

The Latest

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...