Sumo Logic, at its online Illuminate conference today, announced the availability of a bevy of extensions to its observability and security information event management (SIEM) cloud services that span everything from hybrid cloud computing to cloud-native platforms such as Kubernetes.

The company also announced the general availability of a free Software Development Optimization (SDO) service, a business intelligence application that integrates and analyzes data collected from multiple DevOps tools to provide insights into software development pipelines in real-time. Based on metrics defined by DevOps Research and Assessment (DORA), a research arm of Google, SDO comes integrated with Jira, GitHub, Jenkins, Bitbucket, PagerDuty and OpsGenie and can be extended to other DevOps tools.

Sumo Logic also updated its Application Observability service to be able to consume data generated by open source Prometheus monitoring tools as well as both Telegraf and Open Telemetry agent software for collecting and correlating traces with relevant logs and metrics. Dashboards and topology and entity models also have been added to create more intuitive workflows and cross-linking among troubleshooting playbooks.

The company also announced the Sumo Logic Multi-cloud Observability service, which provides monitoring and troubleshooting capabilities across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) and hybrid cloud environments. In addition, it announced the general availability of Sumo Logic AWS Observability, a service that automatically ingests, collects, unifies and analyzes telemetry data from AWS services such as Application Load Balancer, Amazon Elastic Compute Cloud (EC2), Amazon Relational Database (RDS), AWS Lambda, Amazon DynamoDB and Amazon API Gateway. It is designed to detect anomalous events, including the timeline and scale of those anomalies, and then employs machine learning algorithms to surface the root cause of the issue.

Sumo Logic is also making generally available a Kubernetes Observability service that automatically instruments and discovers topology and entities of microservices-based applications and automatically collects logs, metrics, traces and metadata to populate preconfigured dashboards and alerts. The company also launched a Sumo Logic Web and Edge Observability service to monitor and troubleshoot content delivery network (CDN) services from Akamai, CloudFlare and Fastly, as well as similar services provided by AWS, Microsoft Azure and GCP.

Finally, Sumo Logic has enhanced its SIEM service to add support for chain, threshold and aggregation rule types and the ability to schedule searches of specific types of security events. The reporting and data ingest capabilities of the platform have been enhanced as well.

Bruno Kurtic, vice president of product management and strategy for Sumo Logic, said observability takes traditional monitoring to the next level because as applications are instrumented, observability becomes a property of the application. That approach provides IT teams with the context required to resolve issues faster. Existing monitoring tools are isolated silos that generate data which IT teams then must correlate on their own to find the root cause of an issue. That approach results in time wasted that could otherwise be applied to more value-added tasks, such as developing applications faster, said Kurtic.

Fresh off raising capital by becoming a public company, Sumo Logic is differentiating itself via a more unified approach to observability that provides deeper analytics, is more secure, and affordable through the usage of credits that IT teams and purchase and apply to any service as they see fit, Kurtic said.

Of course, Sumo Logic is not the only IT vendor aiming to take IT monitoring to the next level. DevOps teams have no shortage of observability options. The challenge now is determining how best to act on that intelligence once it’s presented.