Sumo Logic gets real (time) on continuous intelligence into microservices

Cloud-native machine data analytics platform company Sumo Logic has rolled out a unified logs and metrics solution designed to improve the ‘customer experience’ of applications running on Kubernetes and Docker. 

Kubernetes is an open-source platform designed to automate deploying, scaling, and operating application containers.

Sumo Logic streamlines the data ingestion process using (and here’s the important part) both ‘open source & native’ integrations widely adopted for Kubernetes and Docker… the end result is the power to provide visualisation and optimised analytics to show the health of Kubernetes-powered applications.

This unified approach is supposed to offer full visibility and continuous intelligence into an application and microservices architecture.

Continuous intelligence into microservices

In other words, this is real time continuous intelligence into microservices-based modern applications 

This technology has come about due to the fact that today’s modern applications are more like living organisms than the static, monolithic architectures of the past. According to customer usage data from Sumo Logic, microservices and container adoption is increasing, with Amazon EC2 adoption in AWS at 57 percent and Kubernetes adoption at about 35 percent.

They are far more complex, challenging IT teams to keep up with the ability to identify and resolve issues in order to keep applications performing to scale with customers needs.

Microservices architectures and container technologies such as Kubernetes and Docker are part of these new modern applications.

More functionality = more monitoring

As they (microservices) are constantly changing as new functionality is released, monitoring and troubleshooting of container-based services must adapt as well.

“Businesses are adopting a new breed of ITOA tools and technologies that break the silos and better support the need for speed and agility across modern applications and microservices-based architectures. Some of these tools harness machine learning and bring together log and metric analytics to help IT pros identify and troubleshoot issues more quickly, ultimately delivering a better customer experience across the enterprise,” said Nancy Gohring, senior analyst for 451 Research.

Sumo Logic insists that its multi-tenant data analytics platform and machine learning capabilities enable firms to realise 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, users (arguably) get an in-depth real-time picture of their applications running on Kubernetes – such as services, namespaces, nodes, pods, and containers.