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Sumo Logic Announces New and Enhanced Solutions

Sumo Logic announced several new and enhanced solutions:

- Updated Application Observability solution - Sumo Logic’s Application Observability solutions enables customers to rapidly monitor, diagnose and troubleshoot applications and infrastructure across any architecture, technology or environments. The solution integrates to over 200 applications and infrastructure out of the box. With the additional support for open source Prometheus and Telegraf technologies, it extends support to hundreds of new sources and environments. In addition, support for Open Telemetry enables the collection and correlation of traces with relevant logs and metrics. Lastly, new dashboards along with topology and entity models provide intuitive workflows and allow for cross-linking to automate troubleshooting playbooks.

- New General Availability of Kubernetes Observability solution - Sumo Logic’s Kubernetes Observability solutions provides rich monitoring, diagnosing and troubleshooting capabilities for Kubernetes based microservices applications, by giving enterprises a unified platform for all application and infrastructure telemetry. This solution automatically instruments and discovers Kubernetes topology and entities, automatically collects logs, metrics, traces and metadata to automatically create preconfigured dashboards and alerts.

- New General Availability of AWS Observability solution - The Sumo Logic AWS Observability solution for AWS takes a cross-cutting approach to managing reliability of AWS based applications and underlying AWS services by easily and automatically ingesting, collecting, unifying and analyzing telemetry data from popular AWS services like Application Load Balancer, Amazon Elastic Compute Cloud (EC2), Amazon Relational Database (RDS), AWS Lambda, Amazon DynamoDB and Amazon API Gateway in order to quickly detect anomalous events, determine timeline and scale of anomalies, and enable rapid root cause analysis through machine learning aided technology.

- Multi-cloud Observability solution - The Sumo Logic Multi-cloud Observability solution provides monitoring and troubleshooting capabilities to manage the reliability of applications across AWS, Microsoft Azure, Google Cloud Platform (GCP) and hybrid cloud environments. The solutions provide out-of-the-box integrations and content to a variety of AWS, Azure and GCP and traditional on-premise infrastructures.

- Web and Edge Observability solution - As modern applications continue to rely on multi-edge networks and services like content delivery networks (CDNs), load-balancers and more, to deliver exceptional customer experience, managing the availability and performance of these infrastructures is critical. The Sumo Logic Web and Edge Observability solution provides monitoring, diagnosis and troubleshooting capabilities for these critical edge-networks such as Akamai, CloudFlare and Fastly as well as similar services provided by hyperscale cloud providers such as AWS, Azure and GCP.

- General Availability of SDO - Sumo Logic today announced the general availability of its Software Development Optimization (SDO) solution, a new business intelligence offering that integrates and analyzes data from multiple DevOps tools to give developers real-time insights into software development pipelines. The solution was developed in partnership with various key ecosystem partners and provides engineering organizations of all sizes and maturity, the ability to benchmark and optimize their software development and delivery performance against industry standard DORA metrics to better understand the health of their innovation cycles. With SDO, data across disparate DevOps tools is captured in real-time and automatically enriched, normalized and correlated across the entire DevOps lifecycle. By unifying fragmented data sets generated by software development and delivery tools, DevOps, engineering and business leaders gain the continuous intelligence needed for data-driven decisions to drive faster innovation cycles and better team collaboration that lead to reliable, performant and secure customer experiences.

The Sumo Logic SDO solution is free to existing customers and has already been adopted by a number of customers and also comes with out of the box integrations to Jira, GitHub, Jenkins, Bitbucket, PagerDuty and OpsGenie and can also be easily extended to other popular tools like Azure DevOps, GitLab, CircleCI and more.

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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 ...

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Sumo Logic Announces New and Enhanced Solutions

Sumo Logic announced several new and enhanced solutions:

- Updated Application Observability solution - Sumo Logic’s Application Observability solutions enables customers to rapidly monitor, diagnose and troubleshoot applications and infrastructure across any architecture, technology or environments. The solution integrates to over 200 applications and infrastructure out of the box. With the additional support for open source Prometheus and Telegraf technologies, it extends support to hundreds of new sources and environments. In addition, support for Open Telemetry enables the collection and correlation of traces with relevant logs and metrics. Lastly, new dashboards along with topology and entity models provide intuitive workflows and allow for cross-linking to automate troubleshooting playbooks.

- New General Availability of Kubernetes Observability solution - Sumo Logic’s Kubernetes Observability solutions provides rich monitoring, diagnosing and troubleshooting capabilities for Kubernetes based microservices applications, by giving enterprises a unified platform for all application and infrastructure telemetry. This solution automatically instruments and discovers Kubernetes topology and entities, automatically collects logs, metrics, traces and metadata to automatically create preconfigured dashboards and alerts.

- New General Availability of AWS Observability solution - The Sumo Logic AWS Observability solution for AWS takes a cross-cutting approach to managing reliability of AWS based applications and underlying AWS services by easily and automatically ingesting, collecting, unifying and analyzing telemetry data from popular AWS services like Application Load Balancer, Amazon Elastic Compute Cloud (EC2), Amazon Relational Database (RDS), AWS Lambda, Amazon DynamoDB and Amazon API Gateway in order to quickly detect anomalous events, determine timeline and scale of anomalies, and enable rapid root cause analysis through machine learning aided technology.

- Multi-cloud Observability solution - The Sumo Logic Multi-cloud Observability solution provides monitoring and troubleshooting capabilities to manage the reliability of applications across AWS, Microsoft Azure, Google Cloud Platform (GCP) and hybrid cloud environments. The solutions provide out-of-the-box integrations and content to a variety of AWS, Azure and GCP and traditional on-premise infrastructures.

- Web and Edge Observability solution - As modern applications continue to rely on multi-edge networks and services like content delivery networks (CDNs), load-balancers and more, to deliver exceptional customer experience, managing the availability and performance of these infrastructures is critical. The Sumo Logic Web and Edge Observability solution provides monitoring, diagnosis and troubleshooting capabilities for these critical edge-networks such as Akamai, CloudFlare and Fastly as well as similar services provided by hyperscale cloud providers such as AWS, Azure and GCP.

- General Availability of SDO - Sumo Logic today announced the general availability of its Software Development Optimization (SDO) solution, a new business intelligence offering that integrates and analyzes data from multiple DevOps tools to give developers real-time insights into software development pipelines. The solution was developed in partnership with various key ecosystem partners and provides engineering organizations of all sizes and maturity, the ability to benchmark and optimize their software development and delivery performance against industry standard DORA metrics to better understand the health of their innovation cycles. With SDO, data across disparate DevOps tools is captured in real-time and automatically enriched, normalized and correlated across the entire DevOps lifecycle. By unifying fragmented data sets generated by software development and delivery tools, DevOps, engineering and business leaders gain the continuous intelligence needed for data-driven decisions to drive faster innovation cycles and better team collaboration that lead to reliable, performant and secure customer experiences.

The Sumo Logic SDO solution is free to existing customers and has already been adopted by a number of customers and also comes with out of the box integrations to Jira, GitHub, Jenkins, Bitbucket, PagerDuty and OpsGenie and can also be easily extended to other popular tools like Azure DevOps, GitLab, CircleCI and more.

The Latest

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

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...

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

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 ...

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 ...

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 ...