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APM and Observability: Cutting Through the Confusion — Part 8

Pete Goldin
APMdigest

So after all this discussion, what do the experts say about whether you need APM, observability or both?

Start with: APM and Observability - Cutting Through the Confusion - Part 7

“In today's complex digital landscape, organizations need both APM and Observability to not only react to issues but to anticipate and mitigate them proactively, ensuring robust performance and resilience,” says Gab Menachem, VP ITOM at ServiceNow.

"Organizations will absolutely continue to leverage both approaches, particularly as the number of solutions in the market that support both approaches increases," Bryan Cole, Director of Customer Engineering at Tricentis, agrees.

"Most organizations use a combination of tools," adds Gurjeet Arora, CEO and Co-Founder of Observo AI. "It's rare to find a single solution that serves every team's needs. DevOps may rely on telemetry data pipelines, while application teams use APM tools, and security teams use SIEM platforms. Ideally, these tools integrate with each other and share a common data layer, but in reality, priorities differ by role. What matters most is having a strategy that allows each team to extract value from telemetry without duplicating data or increasing costs unnecessarily."

One Tool Fits All

Why choose APM or Observability when you can have both? Modern tools increasingly combine both observability and APM, bringing together deep insights for legacy applications and observability for distributed, cloud-native systems, says Varma Kunaparaju, SVP and GM for Cloud Platform and OpsRamp Software at HPE.

"It's becoming increasingly clear that for many, a combined approach, leveraging both APM and observability functionalities within a single, well-integrated tool, offers the most comprehensive solution for their monitoring and diagnostic requirements," confirms Arun Balachandran, Senior Product Marketing Manager, ManageEngine APM Solutions.

Ideally, organizations should aim for an integrated platform that combines both APM and observability, advises Menachem from ServiceNow. The objective isn't to accumulate more tools but to achieve deeper insights.

Andreas Grabner, Fellow DevRel and CNCF Ambassador, Dynatrace, agrees, "Ideally, organizations wouldn't need to manage separate tools. The most effective approach combines APM and observability into a single platform that provides unified data, context-rich insights, and automation. Fragmented tooling leads to data silos and slower issue resolution, while a converged platform improves visibility, collaboration, and time-to-value."

A unified platform serves as a single source of truth, streamlining resolution processes, enhancing accountability, and empowering informed decision-making across the board, Menachem from ServiceNow adds.

Integrated solutions can offer convenience, optimized operations and more robust performance for complex systems, Kunaparaju of HPE adds.

"Organizations increasingly recognize that they need unified platforms rather than point solutions," Rakesh Gupta, Head of Product Management at Observe points out. "The market is clearly moving toward consolidation, with 'single pane of glass' becoming a standard requirement from IT leadership."

There are tools that do both, but just as with any other tool purchase, you must weigh the pros and cons out there, warns Chrystal Taylor, Tech Evangelist at SolarWinds. There may be tools developed specifically for APM that have the benefit of greater maturity and feature sets that haven't been worked into observability tools out there. There may also be ways to integrate that data into your observability tools to get the best of both worlds. There are many options, so it's important to find the one best suited to your organization's needs and budget.

The trend is toward unified platforms that incorporate both capabilities, but organizations should evaluate their specific requirements before assuming one solution fits all, Paul Appleby, CEO of Virtana, concludes.

Observability with a Side of APM

Many of the experts recommend the tool combination in the form of a comprehensive Observability platform that includes APM among multiple other capabilities — and this concept further supports the view that APM is a subset of Observability, discussed in Part 3 of this series.

While some organizations choose to use both APM and Observability, it isn't a necessity, according to Emily Nakashima, VP of Engineering at Honeycomb. "Since APM is a subset of observability, organizations with a well-crafted observability strategy can utilize an observability tool to get everything APM offers and more."

"APM is just one part of the observability picture," explains Bahubali Shetti, Senior Director, Product Marketing, Elastic. "While APM focuses on identifying what's wrong within a specific service or set of services, observability helps you understand why by connecting signals across your entire environment using AI and machine learning. Full observability enables correlation of metrics, logs, and traces to uncover root causes, analyze patterns, and generate context-aware recommendations."

Shetti adds that with features like an AI Assistant, users can ask questions like, "Why is my checkout latency spiking?" and receive insights that automatically connect traces, logs, infrastructure metrics, and even internal knowledge like GitHub issues or support tickets. Observability also brings advanced capabilities like anomaly detection, pattern recognition, event categorization, and predictive analytics, allowing teams to move from reactive troubleshooting to proactive optimization. When combined with APM data, these capabilities deliver the end-to-end visibility and intelligence users need to resolve issues faster and scale systems more effectively.

"Both can co-exist, but for cost and complexity reasons, it is likely that organizations will move to the more encompassing observability approach," says Sven Delmas, VP of Research at Mezmo. "Note that an observability solution may or may not be just one tool."

Today organizations can expect to have APM in their observability tool but not necessarily vice versa, adds Hugo Kaczmarek, Director of Product, APM Suite at Datadog.

Keeping It Separate

Even though the experts recommend combining tools to get the best of both worlds, some organizations still rely on separate tools — whether due to legacy systems, departmental preferences, or unique functional requirements, says Balachandran from ManageEngine.

"And even the solutions that are a blend of both worlds — usually the result of acquired companies and merged toolsets — end up focusing on more of one than the other, with the lesser of the two simply there to provide context to the other or, worse, to be little more than box-checkers to pass an RFP," adds Leon Adato, Principal Technology Advocate, Catchpoint. "So companies probably will need both. More specifically, different teams within an organization will need the capabilities of one more than the other."

Unified Visibility and Actionable Insights

"What's most important is that organizations take a close look at what different tools and platforms offer and ensure that everything they require regarding APM/observability capabilities are met — whether that be through one tool, two tools, or five," says Cole from Tricentis.

Ultimately, the most important factor is ensuring that whichever tools are in place deliver unified visibility and actionable insights across the entire technology stack, from the application layer all the way down to the underlying infrastructure, recommends Balachandran from ManageEngine.

Start with: APM and Observability - Cutting Through the Confusion - Part 9, covering open source's impact on the evolution Observability.

Pete Goldin is Editor and Publisher of APMdigest

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APM and Observability: Cutting Through the Confusion — Part 8

Pete Goldin
APMdigest

So after all this discussion, what do the experts say about whether you need APM, observability or both?

Start with: APM and Observability - Cutting Through the Confusion - Part 7

“In today's complex digital landscape, organizations need both APM and Observability to not only react to issues but to anticipate and mitigate them proactively, ensuring robust performance and resilience,” says Gab Menachem, VP ITOM at ServiceNow.

"Organizations will absolutely continue to leverage both approaches, particularly as the number of solutions in the market that support both approaches increases," Bryan Cole, Director of Customer Engineering at Tricentis, agrees.

"Most organizations use a combination of tools," adds Gurjeet Arora, CEO and Co-Founder of Observo AI. "It's rare to find a single solution that serves every team's needs. DevOps may rely on telemetry data pipelines, while application teams use APM tools, and security teams use SIEM platforms. Ideally, these tools integrate with each other and share a common data layer, but in reality, priorities differ by role. What matters most is having a strategy that allows each team to extract value from telemetry without duplicating data or increasing costs unnecessarily."

One Tool Fits All

Why choose APM or Observability when you can have both? Modern tools increasingly combine both observability and APM, bringing together deep insights for legacy applications and observability for distributed, cloud-native systems, says Varma Kunaparaju, SVP and GM for Cloud Platform and OpsRamp Software at HPE.

"It's becoming increasingly clear that for many, a combined approach, leveraging both APM and observability functionalities within a single, well-integrated tool, offers the most comprehensive solution for their monitoring and diagnostic requirements," confirms Arun Balachandran, Senior Product Marketing Manager, ManageEngine APM Solutions.

Ideally, organizations should aim for an integrated platform that combines both APM and observability, advises Menachem from ServiceNow. The objective isn't to accumulate more tools but to achieve deeper insights.

Andreas Grabner, Fellow DevRel and CNCF Ambassador, Dynatrace, agrees, "Ideally, organizations wouldn't need to manage separate tools. The most effective approach combines APM and observability into a single platform that provides unified data, context-rich insights, and automation. Fragmented tooling leads to data silos and slower issue resolution, while a converged platform improves visibility, collaboration, and time-to-value."

A unified platform serves as a single source of truth, streamlining resolution processes, enhancing accountability, and empowering informed decision-making across the board, Menachem from ServiceNow adds.

Integrated solutions can offer convenience, optimized operations and more robust performance for complex systems, Kunaparaju of HPE adds.

"Organizations increasingly recognize that they need unified platforms rather than point solutions," Rakesh Gupta, Head of Product Management at Observe points out. "The market is clearly moving toward consolidation, with 'single pane of glass' becoming a standard requirement from IT leadership."

There are tools that do both, but just as with any other tool purchase, you must weigh the pros and cons out there, warns Chrystal Taylor, Tech Evangelist at SolarWinds. There may be tools developed specifically for APM that have the benefit of greater maturity and feature sets that haven't been worked into observability tools out there. There may also be ways to integrate that data into your observability tools to get the best of both worlds. There are many options, so it's important to find the one best suited to your organization's needs and budget.

The trend is toward unified platforms that incorporate both capabilities, but organizations should evaluate their specific requirements before assuming one solution fits all, Paul Appleby, CEO of Virtana, concludes.

Observability with a Side of APM

Many of the experts recommend the tool combination in the form of a comprehensive Observability platform that includes APM among multiple other capabilities — and this concept further supports the view that APM is a subset of Observability, discussed in Part 3 of this series.

While some organizations choose to use both APM and Observability, it isn't a necessity, according to Emily Nakashima, VP of Engineering at Honeycomb. "Since APM is a subset of observability, organizations with a well-crafted observability strategy can utilize an observability tool to get everything APM offers and more."

"APM is just one part of the observability picture," explains Bahubali Shetti, Senior Director, Product Marketing, Elastic. "While APM focuses on identifying what's wrong within a specific service or set of services, observability helps you understand why by connecting signals across your entire environment using AI and machine learning. Full observability enables correlation of metrics, logs, and traces to uncover root causes, analyze patterns, and generate context-aware recommendations."

Shetti adds that with features like an AI Assistant, users can ask questions like, "Why is my checkout latency spiking?" and receive insights that automatically connect traces, logs, infrastructure metrics, and even internal knowledge like GitHub issues or support tickets. Observability also brings advanced capabilities like anomaly detection, pattern recognition, event categorization, and predictive analytics, allowing teams to move from reactive troubleshooting to proactive optimization. When combined with APM data, these capabilities deliver the end-to-end visibility and intelligence users need to resolve issues faster and scale systems more effectively.

"Both can co-exist, but for cost and complexity reasons, it is likely that organizations will move to the more encompassing observability approach," says Sven Delmas, VP of Research at Mezmo. "Note that an observability solution may or may not be just one tool."

Today organizations can expect to have APM in their observability tool but not necessarily vice versa, adds Hugo Kaczmarek, Director of Product, APM Suite at Datadog.

Keeping It Separate

Even though the experts recommend combining tools to get the best of both worlds, some organizations still rely on separate tools — whether due to legacy systems, departmental preferences, or unique functional requirements, says Balachandran from ManageEngine.

"And even the solutions that are a blend of both worlds — usually the result of acquired companies and merged toolsets — end up focusing on more of one than the other, with the lesser of the two simply there to provide context to the other or, worse, to be little more than box-checkers to pass an RFP," adds Leon Adato, Principal Technology Advocate, Catchpoint. "So companies probably will need both. More specifically, different teams within an organization will need the capabilities of one more than the other."

Unified Visibility and Actionable Insights

"What's most important is that organizations take a close look at what different tools and platforms offer and ensure that everything they require regarding APM/observability capabilities are met — whether that be through one tool, two tools, or five," says Cole from Tricentis.

Ultimately, the most important factor is ensuring that whichever tools are in place deliver unified visibility and actionable insights across the entire technology stack, from the application layer all the way down to the underlying infrastructure, recommends Balachandran from ManageEngine.

Start with: APM and Observability - Cutting Through the Confusion - Part 9, covering open source's impact on the evolution Observability.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...