Skip to main content

Sumo Logic Expands Observability Suite

Sumo Logic has broadened the Sumo Logic Observability suite, powered by its Continuous Intelligence Platform™, with new and expanded solutions to provide enterprises with a unified view of real-time analytics across application and infrastructure logs, metrics, traces and metadata.

New additions to the suite include the Sumo Logic AWS Observability Solution and the Sumo Logic Software Development Observability Solution, along with new tracing capabilities added to its existing Microservices Observability Solution. These new and expanded solutions further position Sumo Logic as the intelligence layer for modern application and cloud environments to drive a unified view of real-time analytics across operations, security, business and customer use cases.

"Observability is making the transition from being a niche concern to a mainstream approach for user experience, systems and service management in startups, SaaS and enterprise companies. Change rather than stability is the goal and there is a lot more uncertainty in systems and applications than there used to be," said James Governor, founder for RedMonk. "Sumo Logic is building tools designed to support this new culture and the platforms associated with it."

Sumo Logic is expanding its observability suite by adding distributed transaction tracing capabilities and three new suite solutions that unify application and infrastructure logs, metrics, traces and metadata and enable sophisticated analytics on both structured and unstructured data. These solutions targeted toward developers, cloud architects, site reliability engineers, DevSecOps, security teams and more and include: Sumo Logic AWS Observability, Sumo Logic Software Development Observability and Microservices Observability.

Sumo Logic’s new Distributed Transaction Tracing, enables customers to monitor and troubleshoot transaction execution and performance across a distributed application environment. These new tracing capabilities are fully integrated with logs, metrics, metadata in order to provide a seamless end-to-end experience during the process of managing and responding to production incidents, and designed to reduce downtime by streamlining root cause analysis. Sumo Logic Tracing, currently in closed beta, supports the OpenTelemetry standard and leverages open source componentry from the Cloud Native Computing Foundation (CNCF) to collect distributed tracing data. Sumo Logic has been an active member of CNCF since 2018.

New updates to the Sumo Logic Microservices Observability solution continue to build on capabilities for monitoring and troubleshooting Kubernetes platform and custom applications. These updates include expanded metrics collection from application components and infrastructure. The solution enables hierarchical, metadata based topology navigation, contextual drill down from signals, to traces, to logs across application, platform and infrastructure in order to enable rapid diagnosis and troubleshooting of production issues. Solution leverages open source components such as Prometheus, FluentD and FluentBit to integrate into Kubernetes platform and collect data and enables “single click” deployment using Helm charts.

Now generally available, the Sumo Logic AWS Observability solution for AWS takes a cross-cutting approach to managing reliability of AWS services by collecting, unifying and analyzing telemetry data from popular AWS services like Application Load Balancer, Amazon elastic Cloud Compute (EC2), Amazon Relational Database (RDS), AWS Lambda, Amazon DynamoDB, and Amazon API Gateway in order to detect anomalous events, determine timeline and scale of anomalies, and enable root cause analysis through machine learning aided technology. An innovative user experience approach enables navigation through the AWS hierarchy using metadata to enable customers to easily explore their multi-account and multi-region AWS deployments. With the Global Intelligence Service for AWS CloudTrail, enterprises can also benchmark the behavior or their own usage of many of these services against AWS peer user groups to monitor efficiency, detect misconfigurations and security exposure.

Sumo Logic is extending its Software Development Observability solution to support GitHub, Jenkins and PagerDuty, enabling development organizations to continuously benchmark and optimize their software development performance by automatically correlating data across their CI/CD pipelines. The solution already integrates with leading development tools like Jira, Bitbucket, OpsGenie and can be set up in minutes to help teams collaborate more effectively and release secure, high quality code faster. The Sumo Logic Software Development Observability solution leverages the KPI methodology developed by the DevOps Research and Assessment (DORA) organization to automatically derive industry standard metrics backed by actionable insights and raw logs that are specifically designed to give teams complete visibility and observability of the entire DevOps lifecycle.

The Latest

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

Sumo Logic Expands Observability Suite

Sumo Logic has broadened the Sumo Logic Observability suite, powered by its Continuous Intelligence Platform™, with new and expanded solutions to provide enterprises with a unified view of real-time analytics across application and infrastructure logs, metrics, traces and metadata.

New additions to the suite include the Sumo Logic AWS Observability Solution and the Sumo Logic Software Development Observability Solution, along with new tracing capabilities added to its existing Microservices Observability Solution. These new and expanded solutions further position Sumo Logic as the intelligence layer for modern application and cloud environments to drive a unified view of real-time analytics across operations, security, business and customer use cases.

"Observability is making the transition from being a niche concern to a mainstream approach for user experience, systems and service management in startups, SaaS and enterprise companies. Change rather than stability is the goal and there is a lot more uncertainty in systems and applications than there used to be," said James Governor, founder for RedMonk. "Sumo Logic is building tools designed to support this new culture and the platforms associated with it."

Sumo Logic is expanding its observability suite by adding distributed transaction tracing capabilities and three new suite solutions that unify application and infrastructure logs, metrics, traces and metadata and enable sophisticated analytics on both structured and unstructured data. These solutions targeted toward developers, cloud architects, site reliability engineers, DevSecOps, security teams and more and include: Sumo Logic AWS Observability, Sumo Logic Software Development Observability and Microservices Observability.

Sumo Logic’s new Distributed Transaction Tracing, enables customers to monitor and troubleshoot transaction execution and performance across a distributed application environment. These new tracing capabilities are fully integrated with logs, metrics, metadata in order to provide a seamless end-to-end experience during the process of managing and responding to production incidents, and designed to reduce downtime by streamlining root cause analysis. Sumo Logic Tracing, currently in closed beta, supports the OpenTelemetry standard and leverages open source componentry from the Cloud Native Computing Foundation (CNCF) to collect distributed tracing data. Sumo Logic has been an active member of CNCF since 2018.

New updates to the Sumo Logic Microservices Observability solution continue to build on capabilities for monitoring and troubleshooting Kubernetes platform and custom applications. These updates include expanded metrics collection from application components and infrastructure. The solution enables hierarchical, metadata based topology navigation, contextual drill down from signals, to traces, to logs across application, platform and infrastructure in order to enable rapid diagnosis and troubleshooting of production issues. Solution leverages open source components such as Prometheus, FluentD and FluentBit to integrate into Kubernetes platform and collect data and enables “single click” deployment using Helm charts.

Now generally available, the Sumo Logic AWS Observability solution for AWS takes a cross-cutting approach to managing reliability of AWS services by collecting, unifying and analyzing telemetry data from popular AWS services like Application Load Balancer, Amazon elastic Cloud Compute (EC2), Amazon Relational Database (RDS), AWS Lambda, Amazon DynamoDB, and Amazon API Gateway in order to detect anomalous events, determine timeline and scale of anomalies, and enable root cause analysis through machine learning aided technology. An innovative user experience approach enables navigation through the AWS hierarchy using metadata to enable customers to easily explore their multi-account and multi-region AWS deployments. With the Global Intelligence Service for AWS CloudTrail, enterprises can also benchmark the behavior or their own usage of many of these services against AWS peer user groups to monitor efficiency, detect misconfigurations and security exposure.

Sumo Logic is extending its Software Development Observability solution to support GitHub, Jenkins and PagerDuty, enabling development organizations to continuously benchmark and optimize their software development performance by automatically correlating data across their CI/CD pipelines. The solution already integrates with leading development tools like Jira, Bitbucket, OpsGenie and can be set up in minutes to help teams collaborate more effectively and release secure, high quality code faster. The Sumo Logic Software Development Observability solution leverages the KPI methodology developed by the DevOps Research and Assessment (DORA) organization to automatically derive industry standard metrics backed by actionable insights and raw logs that are specifically designed to give teams complete visibility and observability of the entire DevOps lifecycle.

The Latest

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...