Sumo Logic announced a new unified logs and metrics solution for improving customer experience of applications running on Kubernetes and Docker.
Sumo Logic streamlines the data ingestion process using open-source and native integrations widely adopted for Kubernetes and Docker, and provides improved visualization and optimized analytics to show the health of Kubernetes-powered applications. This unified approach gives users full visibility and continuous intelligence into their application and microservices architecture, and helps them quickly identify and troubleshoot issues and improve customer experience.
Today’s modern applications are more like living organisms than the static, monolithic architectures of the past. Microservice architectures and container technologies such as Kubernetes and Docker are part of these new modern applications and are growing in popularity. According to exclusive customer usage data from Sumo Logic, microservices and container adoption is increasing, with 25 percent of cloud customers adopting Docker and around 35 percent of Docker users adopting orchestration solutions like Kubernetes. While microservices and container technologies are helping enterprises adopt multi-cloud services as they seamlessly abstract application from the underlying infrastructures, as new functionality is released, monitoring and troubleshooting of container-based services must adapt as well.
Sumo Logic’s multi-tenant data analytics platform and machine learning capabilities enable organizations to realize their full data insight potential to build, run, secure and manage modern applications, regardless of the underlying infrastructure and technology stack. By expanding native integrations with microservice-based modern applications and container technology, the broader support for Kubernetes provides users with a comprehensive, in-depth, and real-time picture of applications running on Kubernetes – such as services, namespaces, nodes, pods, and containers.
In addition, Sumo Logic provides out-of-the-box data exploration and visualization capabilities to understand the real-time state of their application within Kubernetes.
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