Exploring the Convergence of Observability and Security - Part 7: Advantages

Pete Goldin
APMdigest

With input from industry experts — both analysts and vendors — this 8-part blog series will explore the convergence of observability and security, the challenges and advantages, and how it may transform the IT landscape.

Start with: Exploring the Convergence of Observability and Security - Part 1

Start with: Exploring the Convergence of Observability and Security - Part 2: Logs, Metrics and Traces

Start with: Exploring the Convergence of Observability and Security - Part 3: Tools

Start with: Exploring the Convergence of Observability and Security - Part 4: Dashboards

Start with: Exploring the Convergence of Observability and Security - Part 5: Teams

Start with: Exploring the Convergence of Observability and Security - Part 6: Challenges

Ultimately the experts believe convergence of observability and security delivers several benefits.

"My research has identified two major benefits: Faster resolution of security issues and reduced overall risk of security incidents," says Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA). "We've also identified four secondary benefits: Operational efficiency (do more with less), faster resolution of performance issues, improved overall network uptime, and enhanced business influence over IT strategy. That last one refers to the fact that ITOps and security use their combined influence to get a seat at the table when major things are happening, such as migration to the cloud."

Use the player or download the MP3 below to listen to EMA-APMdigest Podcast Episode 2 — Shamus McGillicuddy talks about Network Observability, the convergence of observability and security, and more.

Click here for a direct MP3 download of Episode 2 - Part 1

The following are more advantages of observability and security convergence , as the experts see it:

More essential information for security

Mike Loukides, VP of Emerging Tech Content at O'Reilly Media: "The big advantage of convergence between security and observability is that security is an activity that always needs more data. An attacker who knows what they're doing is going to be able to rewrite your log files and be stealthy enough that your metrics will look normal. But it will be very difficult for them to hide the paths they take through your system, which is what tracing will give you. Observability provides more information on your system. That's invaluable for security."

Simplifying Data Processing and Distribution

Buddy Brewer, Chief Product Officer at Mezmo: "Converging security and observability simplifies data processing and distribution, allowing organizations to collect and share the right information with the right teams."

Uncovering security issues and vulnerabilities

Spiros Xanthos, SVP and General Manager of Observability at Splunk cites recent research showing the benefits of convergence, according to survey respondents, include:

■ More effective uncovering of security issues thanks to intelligence and correlation capabilities (59%).

■ The ability to uncover and assess more security vulnerabilities (55%), thanks to the visibility afforded by observability solutions.

■ More granular and precise threat detection — 59% uncover security issues more effectively, thanks to intelligence and correlation capabilities native to observability solutions.

■ A more comprehensive view — 55% uncover and assess more security vulnerabilities, thanks to the visibility afforded by observability solutions.

Faster resolution of security problems

Gregg Ostrowski, CTO Adviser at Cisco AppDynamics: "Security and application teams often operate in silos, which can increase the time it takes to identify and resolve security threats. To speed up the process, the combination of security and observability enables IT teams to identify the source of vulnerabilities, likelihood of exploitation and potential impacts on the business."

Jam Leomi, Lead Security Engineer at Honeycomb explains, "There are many advantages of converging the two, one of the greatest being the cross-organizational collaboration it affords teams using the same tools and language. Less context switching alleviates the cognitive load on engineers so they can find and fix issues faster."

"With robust visibility across systems as well as the entire software development lifecycle, observability helps organizations reduce the time it takes to find vulnerabilities from days or weeks to as little as minutes and enables teams to be more effective and strategic in their resolution strategies, rather than being mired in days of firefighting," adds Amit Shah, Director of Product Marketing at Dynatrace.

Citing the same research above, Spiros Xanthos of Splunk says 51% of respondents reported being able to take action on security issues faster, thanks to the remediation capabilities of observability solutions.

Eliminating security and performance blind spots in the cloud

Chaim Mazal, Chief Security Officer at Gigamon: "The key advantage of converging security and observability is to provide technology organizations with real-time actionable intelligence across all layers of their hybrid and multi-cloud infrastructure. Having this level of deep observability arms teams with the tools and resources they need to deliver defense in depth while containing the spiraling cost and complexity of securing and managing their hybrid environment. This ultimately helps to eliminate security and performance blind spots across cloud environments, complementing logging tools with network-derived intelligence to significantly fortify the organization's overall security posture."

Ensuring Resilience

Take the 2023 SRE Survey

Leo Vasiliou, Director of Product Marketing at Catchpoint: "Security and observability will meet at the resilience intersection of what you control and what you don't control, which is really what we're talking about. The set of observability capabilities for your application stack (what you control) can also be applied to e.g., your security or internet stack (what you don't control) to ensure resilience supporting the needs of multiple teams. Part of these capabilities already exist in various information and event management forms, so normalizing the capabilities makes sense."

Uncovering Observability unknowns

Jam Leomi from Honeycomb: "Security provides an advantage to observability tools as it can really dig into the unknowns, something that comes up often when tracking abnormal behavior and malicious incidents with observability."

Building Higher quality applications

Buddy Brewer from Mezmo: "Security and observability teams share a common goal—to rid the world of software defects. By converging security and observability, organizations can adopt a more holistic approach to shipping high-quality software that users and businesses can trust."

More time for innovation

Gregg Ostrowski from Cisco AppDynamics: "The combination of security and observability offers organizations unified visibility into complex and evolving IT stacks. With this line of sight across both multi-cloud and on-premises platforms, organizations can detect security threats and quickly remediate them before they have the chance to disrupt performance. This means organizations can dedicate more time for innovation and equip themselves for the future."

Shifting left

Amit Shah from Dynatrace: "Observability allows organizations to shift security left — that is, to identify security vulnerabilities in development through testing — as well as to shift right by identifying vulnerabilities in production through real-user monitoring, performance tracking, and other methods.

Making Security Pervasive

Prashant Prahlad, VP of Cloud Security Products at Datadog: "The main benefit of converging security and observability is that it makes security pervasive throughout an organization and shifts the responsibility of security to the DevOps teams that own and operate critical services for the business. The convergence brings about organizational changes that create a DevOps-oriented security ambassador for the aspiring security professionals of the future."

Saving money

Ajit Sancheti, GM, Falcon LogScale at CrowdStrike says with the convergence of observability and security, organizations only need to store the data in one place consequently reducing opex and capex by consolidating tools.

Check back tomorrow for: Exploring the Convergence of Observability and Security – Part 8, the final installment in the series, with tips on how to make convergence happen.

Go to: Exploring the Convergence of Observability and Security - Part 8: Getting There

Pete Goldin is Editor and Publisher of APMdigest

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Exploring the Convergence of Observability and Security - Part 7: Advantages

Pete Goldin
APMdigest

With input from industry experts — both analysts and vendors — this 8-part blog series will explore the convergence of observability and security, the challenges and advantages, and how it may transform the IT landscape.

Start with: Exploring the Convergence of Observability and Security - Part 1

Start with: Exploring the Convergence of Observability and Security - Part 2: Logs, Metrics and Traces

Start with: Exploring the Convergence of Observability and Security - Part 3: Tools

Start with: Exploring the Convergence of Observability and Security - Part 4: Dashboards

Start with: Exploring the Convergence of Observability and Security - Part 5: Teams

Start with: Exploring the Convergence of Observability and Security - Part 6: Challenges

Ultimately the experts believe convergence of observability and security delivers several benefits.

"My research has identified two major benefits: Faster resolution of security issues and reduced overall risk of security incidents," says Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA). "We've also identified four secondary benefits: Operational efficiency (do more with less), faster resolution of performance issues, improved overall network uptime, and enhanced business influence over IT strategy. That last one refers to the fact that ITOps and security use their combined influence to get a seat at the table when major things are happening, such as migration to the cloud."

Use the player or download the MP3 below to listen to EMA-APMdigest Podcast Episode 2 — Shamus McGillicuddy talks about Network Observability, the convergence of observability and security, and more.

Click here for a direct MP3 download of Episode 2 - Part 1

The following are more advantages of observability and security convergence , as the experts see it:

More essential information for security

Mike Loukides, VP of Emerging Tech Content at O'Reilly Media: "The big advantage of convergence between security and observability is that security is an activity that always needs more data. An attacker who knows what they're doing is going to be able to rewrite your log files and be stealthy enough that your metrics will look normal. But it will be very difficult for them to hide the paths they take through your system, which is what tracing will give you. Observability provides more information on your system. That's invaluable for security."

Simplifying Data Processing and Distribution

Buddy Brewer, Chief Product Officer at Mezmo: "Converging security and observability simplifies data processing and distribution, allowing organizations to collect and share the right information with the right teams."

Uncovering security issues and vulnerabilities

Spiros Xanthos, SVP and General Manager of Observability at Splunk cites recent research showing the benefits of convergence, according to survey respondents, include:

■ More effective uncovering of security issues thanks to intelligence and correlation capabilities (59%).

■ The ability to uncover and assess more security vulnerabilities (55%), thanks to the visibility afforded by observability solutions.

■ More granular and precise threat detection — 59% uncover security issues more effectively, thanks to intelligence and correlation capabilities native to observability solutions.

■ A more comprehensive view — 55% uncover and assess more security vulnerabilities, thanks to the visibility afforded by observability solutions.

Faster resolution of security problems

Gregg Ostrowski, CTO Adviser at Cisco AppDynamics: "Security and application teams often operate in silos, which can increase the time it takes to identify and resolve security threats. To speed up the process, the combination of security and observability enables IT teams to identify the source of vulnerabilities, likelihood of exploitation and potential impacts on the business."

Jam Leomi, Lead Security Engineer at Honeycomb explains, "There are many advantages of converging the two, one of the greatest being the cross-organizational collaboration it affords teams using the same tools and language. Less context switching alleviates the cognitive load on engineers so they can find and fix issues faster."

"With robust visibility across systems as well as the entire software development lifecycle, observability helps organizations reduce the time it takes to find vulnerabilities from days or weeks to as little as minutes and enables teams to be more effective and strategic in their resolution strategies, rather than being mired in days of firefighting," adds Amit Shah, Director of Product Marketing at Dynatrace.

Citing the same research above, Spiros Xanthos of Splunk says 51% of respondents reported being able to take action on security issues faster, thanks to the remediation capabilities of observability solutions.

Eliminating security and performance blind spots in the cloud

Chaim Mazal, Chief Security Officer at Gigamon: "The key advantage of converging security and observability is to provide technology organizations with real-time actionable intelligence across all layers of their hybrid and multi-cloud infrastructure. Having this level of deep observability arms teams with the tools and resources they need to deliver defense in depth while containing the spiraling cost and complexity of securing and managing their hybrid environment. This ultimately helps to eliminate security and performance blind spots across cloud environments, complementing logging tools with network-derived intelligence to significantly fortify the organization's overall security posture."

Ensuring Resilience

Take the 2023 SRE Survey

Leo Vasiliou, Director of Product Marketing at Catchpoint: "Security and observability will meet at the resilience intersection of what you control and what you don't control, which is really what we're talking about. The set of observability capabilities for your application stack (what you control) can also be applied to e.g., your security or internet stack (what you don't control) to ensure resilience supporting the needs of multiple teams. Part of these capabilities already exist in various information and event management forms, so normalizing the capabilities makes sense."

Uncovering Observability unknowns

Jam Leomi from Honeycomb: "Security provides an advantage to observability tools as it can really dig into the unknowns, something that comes up often when tracking abnormal behavior and malicious incidents with observability."

Building Higher quality applications

Buddy Brewer from Mezmo: "Security and observability teams share a common goal—to rid the world of software defects. By converging security and observability, organizations can adopt a more holistic approach to shipping high-quality software that users and businesses can trust."

More time for innovation

Gregg Ostrowski from Cisco AppDynamics: "The combination of security and observability offers organizations unified visibility into complex and evolving IT stacks. With this line of sight across both multi-cloud and on-premises platforms, organizations can detect security threats and quickly remediate them before they have the chance to disrupt performance. This means organizations can dedicate more time for innovation and equip themselves for the future."

Shifting left

Amit Shah from Dynatrace: "Observability allows organizations to shift security left — that is, to identify security vulnerabilities in development through testing — as well as to shift right by identifying vulnerabilities in production through real-user monitoring, performance tracking, and other methods.

Making Security Pervasive

Prashant Prahlad, VP of Cloud Security Products at Datadog: "The main benefit of converging security and observability is that it makes security pervasive throughout an organization and shifts the responsibility of security to the DevOps teams that own and operate critical services for the business. The convergence brings about organizational changes that create a DevOps-oriented security ambassador for the aspiring security professionals of the future."

Saving money

Ajit Sancheti, GM, Falcon LogScale at CrowdStrike says with the convergence of observability and security, organizations only need to store the data in one place consequently reducing opex and capex by consolidating tools.

Check back tomorrow for: Exploring the Convergence of Observability and Security – Part 8, the final installment in the series, with tips on how to make convergence happen.

Go to: Exploring the Convergence of Observability and Security - Part 8: Getting There

Pete Goldin is Editor and Publisher of APMdigest

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...