Application Performance Management (APM) and Observability are two of the most important tools in the ITOps and development toolboxes. Yet there seems to be confusion about them.
What is the difference between APM and Observability?
Does each offer different capabilities or serve different use cases?
Do you need both, or is one enough?
Is Observability replacing APM?
Where does AI and AIOps fit into all this?
These are the questions this epic 12-part APMdigest series will attempt to answer over the next few weeks, trying to tackle this complex topic with help from experts across the industry with differing opinions.
Keep in mind that with so many different experts — many from competing vendor companies — there will be some opinions that contradict each other. But hopefully, when put all together, this series will provide a high-level view of where the industry stands on APM vs. Observability.
Land of Confusion
Is there confusion in the market about APM and Observability?
"Yes, and it's understandable," responds Brian Douglas, Head of Ecosystem, Cloud Native Computing Foundation (CNCF). "The lines have blurred as many observability platforms have begun to absorb traditional APM functionality, such as application tracing and SLA dashboards, while some APM vendors now claim observability by simply adding logs and metrics."
"The market does have a lot of confusion related to the differences between APM and Observability," Sam Suthar, Founding Director of Middleware, agrees. "Many people in the industry see these two approaches as competing methods, rather than complementary ways of addressing application issues and challenges."
There is ongoing confusion, largely because the definitions of APM and observability have evolved rapidly — and not always consistently, Andreas Grabner, Fellow DevRel and CNCF Ambassador at Dynatrace, elaborates. Many still associate APM with traditional, siloed monitoring tools, while observability is often seen as either a more modern evolution or a separate concept entirely. This lack of clarity is compounded by overlapping capabilities across tools and varied marketing language in the industry.
"I think that stems partly from a lack of an accepted, industry-wide definition for observability for some time," Chrystal Taylor, Tech Evangelist at SolarWinds, concurs.
Emily Nakashima, VP of Engineering, Honeycomb, adds, "I think software teams sometimes conflate APM and observability because, particularly in the 2010s, an APM platform was often the most-used tool in a team's observability line-up. The overwhelming popularity of these tools with software teams could obscure the fact that APM is only one component of observability, not the whole picture."
A Matter of Misbranding
There remains a significant degree of confusion in the market when it comes to the distinction between APM and observability, according to Arun Balachandran, Senior Product Marketing Manager, ManageEngine APM Solutions. This ambiguity is primarily driven by overlapping marketing narratives and the convergence of capabilities within modern monitoring tools. The challenge nowadays is that vendors increasingly brand their solutions as "observability platforms" despite primarily delivering APM functionality, so the lines between the two concepts become increasingly blurred, leading to uncertainty among both practitioners and decision-makers.
"These terms get tossed around a lot, and while they're related, they're not the same thing," adds Tanner Burson, Engineering Leader at Prismatic. "The lines get blurry because a lot of vendors use the terms interchangeably or offer blended solutions, which can make it tough for teams to know what they actually need."
Rakesh Gupta, Head of Product Management at Observe, says the confusion is mainly marketing noise — most APM vendors have rebranded their existing platforms as "observability solutions" without changing their underlying architecture.
Some experts even think that vendors are intentionally driving the confusion because it serves marketing and sales objectives. Bryan Cole, Director of Customer Engineering at Tricentis, believes much of the confusion is rooted in some vendors' decisions to keep the two narratives of monitoring and observability separate for strategic product and marketing reasons.
Jeff Cobb, Global Head of Product & Design at Chronosphere, agrees, "There is intentional confusion in the market about APM and Observability. Vendors redefine terms to gain positioning advantages. This is self-interest driven by both old and new vendors in the marketplace."
Nakashima from Honeycomb says observability is a concept sometimes co-opted and diluted by legacy APM providers, and Gurjeet Arora, CEO and Co-Founder of Observo AI adds, "Many vendors label their tools as 'observability platforms' even when they primarily offer APM capabilities, which only adds to the confusion."
Leon Adato, Principal Technology Advocate at Catchpoint, explains. "Most of that is due to self-inflicted wounding by vendors who try to tweak terms to suit their needs (and their products). When asked for a plain-language explanation of observability, one executive I knew memorably (and horrifyingly) responded: 'Monitoring is when someone sits at a computer and looks at log files. Observability is what our customers want.' This example underscores not only the rampant misunderstanding within the industry, it also highlights the lengths to which some folks will go to invent — sometimes out of whole cloth — definitions of technology."
Ed Bailey, Field CISO at Cribl sums it up: "The marketing surrounding APM and observability is, at best, confusing and, at worst, deceptive."
What's the Difference?
Much of the confusion seems to be based on the similarities of the two technologies, observes Paul Appleby, CEO of Virtana: "The confusion stems from the fact that APM and observability both leverage much of the same data: Metrics, Events, Logs, and Traces, but for different use cases."
However, while APM and observability are often mentioned in the same breath, they serve distinct roles, says Gab Menachem, VP ITOM at ServiceNow.
What is the difference between APM and Observability? It's not a simple answer. The experts actually offered a range of explanations about the differences between these two technologies:
Application vs. Ecosystem
APM is about app performance only. Observability is broader and defines a set of considerations to ensure application health and resilience, including security management vulnerability and exploits cost considerations as well as business insights, network performance, and digital experience management. I see APM as a feature of a holistic observability offering.
Bill Lobig
VP of Observability, IBM Automation
APM is akin to a magnifying glass, zeroing in on application performance metrics. Observability, however, is more like a panoramic view, offering insights into the entire ecosystem, including infrastructure and network layers. It's the difference between reading a single chapter and understanding the entire narrative of a novel.
Gab Menachem
VP ITOM, ServiceNow
APM focuses on visibility into business applications, while observability provides a more comprehensive view across the entire IT infrastructure and technology ecosystem. True observability can enable faster root cause analysis, improved incident response, and a deeper understanding of how key systems interact, ultimately supporting more resilient and efficient operations.
Douglas James
VP, Solutions & Ecosystem, ScienceLogic
There is ongoing confusion — primarily because both APM and observability aim to provide visibility, but at very different layers of the stack. APM tools traditionally focus on code-level performance of applications (e.g., transactions, errors, response times), while observability platforms extend visibility into the infrastructure layer — specifically the network. Many assume observability replaces APM, but it's more of a layered continuum. True observability encompasses application, network and infrastructure health.
Nigel Hickey
Senior Technical Marketing Manager, NetBrain
Performance vs. Behavior
APM will provide a view of specific application metrics (usually performance metrics) like response times and error rates, and provide specific actionable insights (that the dev team asked for), primarily focusing on the performance. In contrast, observability provides more of a view of system behavior through observability telemetry data and helps troubleshoot unknown-to-unknown issues. This fundamental difference in scope and purpose often creates confusion when teams feel pressured to choose between them rather than leveraging both for their unique strengths.
Sam Suthar
Founding Director, Middleware
Deep Diagnostics vs. Big Picture
While observability provides a holistic, macro view into the entire system as a whole, APM delivers deeper insights to improve application performance strategy overall. Think of observability like the control tower at an airport … it gives you a high-level view of everything happening: planes taking off, landing, weather patterns, and runway traffic. But APM is like the black box inside each plane. It captures the critical details about how each flight is operating like engine performance, system alerts, pilot actions. You need both to run a safe and efficient airport. Observability sees the full picture. APM gives you the deep diagnostics to improve the flight itself.
Mimi Shalash
Observability Advisor at Splunk, a Cisco Company
Static vs. Dynamic Systems
Traditional APM tools were designed for relatively static systems, while observability tools are built for modern, complex, and distributed cloud systems — systems that behave dynamically and change every day.
Emily Nakashima
VP of Engineering, Honeycomb
What's Happening vs. Why
While APM and observability are closely related, they serve different but complementary purposes … APM tells you what's happening inside your applications because it surfaces the symptoms. Observability connects those symptoms to the system-wide story, revealing the root cause, the blast radius, and the next best action.
Mimi Shalash
Observability Advisor at Splunk, a Cisco Company
IT vs. Business
People still think observability is about out-of-the-box debugging, dashboards, and service health. But observability is org health — about business dimensions and customer impact, not latency, error rates, or CPU. APM tells you what's happening in your service and helps manage developer ownership of their service. Observability tells you the business impact and serves more than just dev teams — it's also for CS, Support, AM, and with AI and dedicated agents, it will become even more, allowing people outside engineering to get answers and business insights from org telemetry data.
Ariel Assaraf
CEO, Coralogix
Maximum vs. Minimal Developer Involvement
APM typically requires developers to instrument their code to capture traces, meaning both development and DevOps teams need to collaborate closely to get the desired insights. In contrast, collecting infrastructure metrics and logs usually just involves installing and configuring agents, with minimal involvement from development teams.
Rohan Gupta
VP Cloud, DevOps & Security, R Systems
Is Observability Replacing APM?
The next important question: Is Observability is replacing APM?
"For most expert users, there is a clear understanding about APM and observability," explains Harald Burose, OpenText Director, Product Management, Research & Development – Engineering. "However, there is a trend of 'observability-washing' where monitoring is often defined or marketed as observability. With observability tools delivering application health and performance and real-user monitoring as well as traces, the assumption is that simple APM is being discarded for the more powerful observability tools."
So, is APM still relevant? Go to: APM and Observability: Cutting Through the Confusion - Part 2 , exploring the value of APM.