Starting point
A new investigation encounters a gateway timeout and a retried operation.
An engineer explains a failure in a chat, but the explanation is hard to find next time. Operate turns root causes into verified knowledge articles. Your team can edit, verify and manage them, and Operate can use them in later investigations.
Source code often lacks documentation explaining why the product behaves a certain way. During incidents, engineers reconstruct that behavior and identify the cause, but the explanation can disappear into a chat thread. A new teammate or the next investigation then repeats the same work.
Knowledge is useful when records capture the actual finding and supporting sources. Systems change; past fixes and assumptions need reassessment against the current implementation.
Review deployment and access boundariesIllustrative example. Findings depend on connected systems and available evidence. Proposed changes require engineer review.
A new investigation encounters a gateway timeout and a retried operation.
The root cause becomes a verified knowledge article with supporting evidence. The team can review it, edit the explanation, manually verify it and manage the library as the product changes. Future investigations can retrieve the relevant article.
The earlier case suggests checking whether the first operation succeeded before the retry. Fresh records determine whether the same failure mode applies to the current workflow.
Prior lesson: timeout does not prove failure.Current check: verify operation records.Decision: assess fresh evidence before retrying.Illustrative artifact. Review before applying changes.
Connect the systems used in a problem your team has already solved. Ask Operate to investigate it, then compare the answer with yours. Check the evidence and the suggested change before using it for more work.
Explore the production workspaceEnterprise is $499 per workspace per month and includes shared knowledge, custom tools and custom agents, alongside Monitor capabilities. Managed adds contracted engineering work.
Bring your own key or model with no Operate token surcharge. Operate-managed AI usage is additional: $3.00 per million input tokens and $15.00 per million output tokens.
Compare plans and usage termsNo. A related case supplies context and a hypothesis to check. Current systems and evidence must support the new conclusion.
Enterprise and Managed include the shared knowledge library. Free includes investigation history, which is distinct from shared knowledge reuse.
No. Retaining and retrieving cases is different from training a model. Consult deployment and model-provider policies when evaluating data handling.
Yes. Operate generates verified articles automatically from root causes, and the team can also manually manage, edit and verify the knowledge library.
Investigate production errors across logs, code and data with Operate. Review supporting evidence and a proposed patch before changing production.
Explore this workflowUse Operate agents to review database performance, investigate expensive query patterns and propose changes with supporting query and code evidence.
Explore this workflowOperate helps teams review infrastructure usage, identify idle capacity and investigate cost recommendations with connected evidence.
Explore this workflowReview production access configuration with Operate agents. Investigate exposure risks and inspect proposed configuration changes before applying them.
Explore this workflowUse Operate in Slack or Microsoft Teams to investigate unexpected product behavior using logs, code and production data, with evidence and proposed next steps.
Explore this workflowNeed engineers to help handle the work? Explore managed operations.