750 Stars: Steady growth, clear path for the future

750 Stars: Steady growth, clear path for the future

• By Marcin Gwóźdź Marcin Gwóźdź

Just last week, OpenEverest reached a significant milestone: 750 stars on GitHub.

Three months ago we were celebrating hitting the first milestone: 500 stars. Today, we are seeing constant and stable growth that allows us to reach the next one: 750 stars! Recently, OpenEverest became a CNCF Sandbox project, so we can expect even more community traction and interest in the future. As the stars can be interpreted as pulse checks of the growing project ecosystem, we are seeing that we are on the right track.

Meet the Stargazers

We are grateful for all the people who gave a star to the project! You can meet them at the Stargazers Page.

Stargazers page at OpenEverest A screenshot from openeverest.io/stargazers

The page features the GitHub handlers and avatars of the people supporting our journey, along with a “geeky” milestone flask to track our progress.

The current status: We’ve already surged past the 750 and we’re heading to reach our first 1000!

Star history for OpenEverest

“Every star represents someone who believes in making database management on Kubernetes easier and more accessible. We’re grateful for each and every one of you!”

Do you want to help?

Don’t see yourself on the wall yet? Help us reach the next milestone! Every bit of support helps us move closer to our mission: Simplifying database management. Everywhere.

Check out the repo, LFX mentorship program and the stargazers page, or join our Community Slack:

Let’s hit 1000 now! 🏔️

See Also

A System 1 for Your Platform: OpenJev on KServe and OpenEverest

A System 1 for Your Platform: OpenJev on KServe and OpenEverest

· Sergey Pronin Sergey Pronin

OpenJev is an open-weights decision model: you ask a typed question, it answers with a probability for every option in one forward pass. I ran it on a $0.67/hour GPU with OpenEverest and KServe, let it triage 299 real KServe issues and diagnose 19 broken pods, and published it on the Envoy AI Gateway with API keys and token quotas. Here is what it got right, what it got confidently wrong, and the prompt fix that made things worse.