Observability tools have traditionally focused on capturing and analyzing log data to improve application performance monitoring and security. Data observability turns the focus back on the data to improve data quality, tune data infrastructure and identify problems in data engineering pipelines and processes. “Data analysts and business users are the primary consumers of this data,” said Steven Zhang, director of engineering at Hippo Insurance.

Organizing a software release is a cross-team effort and a large undertaking. Leveraging the power of Mattermost Playbooks can help your team stay on deadline and keep confusion at bay. In this post, we’ll learn how to quickly integrate Mattermost into your GitLab release pipeline to help streamline your release processes. At the end of the blog post, there’s a link to a release management demo that you can try out in the browser to see these ideas in action.

A mission-critical application is a software program or suite of related programs that must function continuously in order for a business or segment of a business to be successful. If a mission-critical application experiences even brief downtime, the negative consequences are likely to be financial. In addition to lost productivity, a mission-critical app’s failure to function may also damage the business’ reputation.

Welcome to the December 2022 edition of Open Source Matters. I’m your host, Ben Lloyd Pearson; let’s dive in!

Want to try out Mattermost, but don’t have sufficient infrastructure or the time? Here is a guide on how to deploy Mattermost using minikube in five minutes.

Deploying software to support the work of an enterprise is an increasingly complex job that’s often referred to as ‘devops.’ When enterprise teams started using artificial intelligence (AI) algorithms to more efficiently and collaboratively run these operations, end users coined the term AIOps for these tasks.

GitLab is a complete DevOps platform that enables enterprises and organizations to deliver software to markets smoothly while ensuring high product quality. Software engineering practices use many testing techniques, from unit tests to integration tests. This article helps you understand software testing with unit and integration tests. It highlights the fundamental differences between unit and integration tests and demonstrates how to write integration tests for your applications.