Zebrium launches on-prem tool for log analysis and problem resolution

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KubeCon North America 2021 kicks off today. At the conference, Zebrium presents the latest release of its incident response SaaS. According to Zebrium, the SaaS is now faster, easier to use and deployable via Kubernetes containers in on-premise environments, providing a privacy-compliant method for problem analysis and resolution through application and service logs.

Zebrium is a machine learning tool for reading logs and solving software incidents accordingly. Application and serivce logs in any programming language — including PHP, Python, Java and C++ — are supported. The software runs in most of the widely used platforms, such as Kubernetes and Linux.

Today, during the pre-event of KubeCon North America 2021, Zebrium presents a new release. The release makes it possible to deploy Zebrium as a Kubernetes application in on-premise environments. Zebrium can be installed with a single Helm command (commonly used packet manager for Kubernetes).

Why?

An on-premise option is valuable. Application and service logs can contain personal data such as names, addresses and credit card information. To process logs in a privacy-compliant manner with automated incident response software like Zebrium, organizations must meet one of two conditions. Either personal data is filtered from each log, or the logs are stored in secure on-premise locations. The latter is often preferable, and within reach with Zebrium’s new release.

New integrations

Zebrium has open APIs, allowing the SaaS to connect to any application imaginable. To simplify connections with commonly used software, Zebrium’s latest release introduces a series of new, ready-to-use integrations with PagerDuty and Opsgenie (commonly used incident response software), AppDynamics (monitoring tool for applications as well as entire infrastructures), and Slack.