Operatex.dev
Self-hosted AI that finds the root cause of production issues, with evidence, and proposes fixes for engineers to review.
Self-hosted AI that finds the root cause of production issues, with evidence, and proposes fixes for engineers to review.
This page is designed to help you find out whether Operatex.dev is good and if it is the right choice for you.
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Operate runs inside your own infrastructure and investigates production problems with read-only access to your code, logs and databases. Every finding comes with the evidence behind it, including explanations that were ruled out, and fixes arrive as a patch file that an engineer reviews and applies. Operate never commits, merges or deploys. It also works with the AI model you choose, including one hosted inside your network, and keeps a full audit trail of queries and investigation steps.
Choose Operate if your team wants root-cause investigation without giving a vendor access to your systems. It is self-hosted, so your logs, records and code stay in your infrastructure, and you pick the AI provider or run a model inside your network. Pricing is public and per company workspace, with no per-seat fees and a free plan that covers 30 investigations a month. It works alongside the tools you already use, such as Datadog, Sentry and PagerDuty, rather than replacing them.
Engineering, DevOps and SRE teams who run software in production and lose time to alerts, slow queries and hard-to-trace failures, especially teams without a large dedicated SRE group. Product support and operations teams also use it to get answers about failed orders, stuck payouts or customer issues without waiting for an engineer.
Operate is built by Better Software, a team of 40+ engineers and product builders. It started from a common problem: when production breaks, engineers spend hours searching logs, code and past chats to find the cause, and the answer is often lost afterwards. Operate investigates with evidence from your own systems, proposes a fix for human review, and saves verified findings in a knowledge library so the team does not start from scratch next time. The product is still early, and the team encourages new users to test it on a problem they have already solved and compare the result with their own.
Operate runs as a Docker Compose stack with a web app, a worker, a scheduler, MongoDB and Redis. It works with the AI model you choose, including Claude and OpenAI models, an enterprise model, or a self-hosted model. It connects to 60+ tools such as GitHub, GitLab, Datadog, Sentry, PagerDuty, Grafana, Kubernetes, AWS, GCP, Azure, Slack and Microsoft Teams.
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