30 Ways APM Should Evolve - Part 6

APMdigest asked the top minds in the industry what they feel is the most important way Application Performance Management (APM) tools must evolve. The recommendations on this list provide a rare look into the long-term future of APM technology. Part 6, the final installment of the list, covers development and DevOps.

Start with 30 Ways APM Should Evolve - Part 1

Start with 30 Ways APM Should Evolve - Part 2

Start with 30 Ways APM Should Evolve - Part 3

Start with 30 Ways APM Should Evolve - Part 4

Start with 30 Ways APM Should Evolve - Part 5

25. MICROSERVICES

Docker is going to disaggregate applications into hundreds and thousands of micro-services each of which will communicate with each other over virtual networks. APM tools need to evolve to technically step up to be able to monitor 100X or 1000X as many things and the transaction flows across those things as is the case today.
Bernd Harzog
CEO, OpsDataStore

We need to not only be able to understand the status of individual microservices, but also the state of the holistic microservice architecture itself as the complexity shifts from the internals of the application or service to the accelerating number of interdependencies. Understanding this latter perspective has been a challenge for even the most experienced of Web-scale firms.
Cameron Haight
Research VP, IT Operations, Gartner

26. API MANAGEMENT

APM providers are evolving to be one stop shops for all things application performance. Customers too are looking for solutions that fit well in their NOC or IT ecosystem. Over the years, we have learned, that any ecosystem play is impossible without a sound API strategy. As more tools enter the ecosystem, more APIs will be offered. Monitoring and managing the performance of those APIs will be critical to ensure the ecosystem harmony. As for the APM ecosystem, it's about time we start rethinking the conceptual APM framework and include API management and deep monitoring as an essential piece of APM.
Priyanka Tiwari
Product Marketing Manager, AlertSite, SmartBear

27. THE ENTIRE STACK

The introduction of RUM in the web performance world was a disruptive force. It was clear that occasional synthetic checks from a few locations around the world were wholly insufficient in understanding the behavior of web applications. I see the "RUM-trend" driving its way down stack. Synthetic checks against APIs, databases, micro services and even disks will slowly be displaced by the observation, recording and analysis of every single transaction. You will be able to profile every IOP on every spindle in your whole data center second by second – and people will wonder how we lived without before. We're close.
Theo Schlossnagle
Founder and CEO, Circonus

28. SSL DECRYPTION

With a high percentage of business applications now encrypted in SSL, decrypting SSL is imperative for effective APM. Given the high processing power required for SSL decryption that eats into the processing capacity left over for APM, organizations are best served by having a purpose-built network visibility solution offload SSL decryption from the APM tool.
Ananda Rajagopal
VP - Product Line Management, Gigamon

29. INTEGRATION WITH TESTING

One of the challenges with APM is to gap the chasm to performance testing and continuous integration. Load testing and APM need to work well together to enable the full vison of DevOps, but very few vendors have found a way to automate findings in APM to relevant tests and vice versa.
Sven Hammar
Founder and CEO, Apica

30. SUPPORT FOR CLIENT-SIDE TECHNOLOGY EVOLUTION

Going forward, the most successful APM Vendors will be those who create and sustain competitive advantage based on effective support for client-side technology evolution, for example RUM refinements to support Single Page Applications or synthetic test visual endpoints. As always, most benefit will be delivered by accessibility/usability rather than "tick the box" support.
Larry Haig
Senior Consultant, Intechnica

If you have additional ideas about the evolution of Application Performance Management, send a blog to APMdigest.

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30 Ways APM Should Evolve - Part 6

APMdigest asked the top minds in the industry what they feel is the most important way Application Performance Management (APM) tools must evolve. The recommendations on this list provide a rare look into the long-term future of APM technology. Part 6, the final installment of the list, covers development and DevOps.

Start with 30 Ways APM Should Evolve - Part 1

Start with 30 Ways APM Should Evolve - Part 2

Start with 30 Ways APM Should Evolve - Part 3

Start with 30 Ways APM Should Evolve - Part 4

Start with 30 Ways APM Should Evolve - Part 5

25. MICROSERVICES

Docker is going to disaggregate applications into hundreds and thousands of micro-services each of which will communicate with each other over virtual networks. APM tools need to evolve to technically step up to be able to monitor 100X or 1000X as many things and the transaction flows across those things as is the case today.
Bernd Harzog
CEO, OpsDataStore

We need to not only be able to understand the status of individual microservices, but also the state of the holistic microservice architecture itself as the complexity shifts from the internals of the application or service to the accelerating number of interdependencies. Understanding this latter perspective has been a challenge for even the most experienced of Web-scale firms.
Cameron Haight
Research VP, IT Operations, Gartner

26. API MANAGEMENT

APM providers are evolving to be one stop shops for all things application performance. Customers too are looking for solutions that fit well in their NOC or IT ecosystem. Over the years, we have learned, that any ecosystem play is impossible without a sound API strategy. As more tools enter the ecosystem, more APIs will be offered. Monitoring and managing the performance of those APIs will be critical to ensure the ecosystem harmony. As for the APM ecosystem, it's about time we start rethinking the conceptual APM framework and include API management and deep monitoring as an essential piece of APM.
Priyanka Tiwari
Product Marketing Manager, AlertSite, SmartBear

27. THE ENTIRE STACK

The introduction of RUM in the web performance world was a disruptive force. It was clear that occasional synthetic checks from a few locations around the world were wholly insufficient in understanding the behavior of web applications. I see the "RUM-trend" driving its way down stack. Synthetic checks against APIs, databases, micro services and even disks will slowly be displaced by the observation, recording and analysis of every single transaction. You will be able to profile every IOP on every spindle in your whole data center second by second – and people will wonder how we lived without before. We're close.
Theo Schlossnagle
Founder and CEO, Circonus

28. SSL DECRYPTION

With a high percentage of business applications now encrypted in SSL, decrypting SSL is imperative for effective APM. Given the high processing power required for SSL decryption that eats into the processing capacity left over for APM, organizations are best served by having a purpose-built network visibility solution offload SSL decryption from the APM tool.
Ananda Rajagopal
VP - Product Line Management, Gigamon

29. INTEGRATION WITH TESTING

One of the challenges with APM is to gap the chasm to performance testing and continuous integration. Load testing and APM need to work well together to enable the full vison of DevOps, but very few vendors have found a way to automate findings in APM to relevant tests and vice versa.
Sven Hammar
Founder and CEO, Apica

30. SUPPORT FOR CLIENT-SIDE TECHNOLOGY EVOLUTION

Going forward, the most successful APM Vendors will be those who create and sustain competitive advantage based on effective support for client-side technology evolution, for example RUM refinements to support Single Page Applications or synthetic test visual endpoints. As always, most benefit will be delivered by accessibility/usability rather than "tick the box" support.
Larry Haig
Senior Consultant, Intechnica

If you have additional ideas about the evolution of Application Performance Management, send a blog to APMdigest.

Related Links

Hot Topics

The Latest

Redis Monitoring 101: Key Metrics You Need to Watch

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI Drives Surge in Data Budgets

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned Architecture Causes Service Disruptions, High Operational Costs and Security Challenges

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

How GenAI Can Save Time for the NetOps Team

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

Top Concerns for Tech Decision Makers

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

The Great SaaS Hangover (and the Cure Nobody Is Talking About)

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

OpenShift Monitoring: 5 Things You Need to Keep an Eye on

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 ...