Open-source, dev-friendly observability.
Hi there! We’re building an open source platform for engineers to monitor, debug, and scale their production applications. What this looks like is we help developers collect and ingest terabytes of telemetry from their application (ex. logs, metrics, traces, session replays) and give them the tools to easily monitor their application/infra health and search through all that data to get to the root cause of what’s gone wrong.
If you’ve ever been on call and been frustrated at 2am over why your Grafana/Datadog/New Relic/Elastic/etc. isn’t giving you straightforward answers to what’s gone wrong - you know exactly the problem we’re solving for.
We’re incredibly early in our journey, but already captured a huge amount of interest from the wider developer community, from reaching 6k Github stars, deployed by enterprises such as ARM, to thousands of teams on HyperDX cloud.
We’re hiring for a founding engineer who is excited to build with us a PB-scale high performance observability streaming & analytics with a focus on crafting an amazing developer experience on top (the DX in HyperDX).
It's currently just us the founders (Michael and Warren) - we're both deeply technical with a passion for building great developer tools on top of solid and scalable infrastructure.
We plan to continue scaling up the team to meet the incredible amount of customer demand we've had - and are well capitalized with many years of runway as part of that. On the technical end, you can learn more about our setup here in our contributing docs. In production we're running on AWS and Kubernetes.
We think there's an incredibly rewarding experience ahead in re-thinking how developers are empowered when they're tasked with their next bug ticket or paged for their next incident. If you've read this far, drop us a note about the most memorable incident you were part of!
HyperDX helps engineers figure out why production is broken faster by centralizing and correlating logs, metrics, traces, exceptions and session replays in one place. We're building the open source and developer friendly alternative to tools like Datadog and New Relic.