Starting point
A recurring database review identifies a query filtering by account and sorting by creation date.
A page that used to load quickly now takes longer. Operate can check the database query behind it, look at how the database runs that query and suggest a change. Your team reviews the recommendation before making it.
A query that worked on a small table can become expensive as the data grows. A CPU alert may arrive much later than the underlying problem. Engineers need to connect the execution plan with the query the application actually sends.
Connect a scoped database credential and relevant application code. Agree which databases and review workload are included. Index recommendations need workload-specific assessment, particularly on large tables.
Review deployment and access boundariesIllustrative example. Findings depend on connected systems and available evidence. Proposed changes require engineer review.
A recurring database review identifies a query filtering by account and sorting by creation date.
Engineering reviews the index, write overhead, migration strategy and production rollout. The proposed SQL is an investigation artifact, not an executed migration.
The relevant compound index is missing. The agent connects the table scan with the orders-list query rather than recommending more capacity as the first response.
+ CREATE INDEX orders_account_created_idx+ ON orders (account_id, created_at);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 workspaceMonitor includes performance reviews within an agreed monitoring scope at $299 per workspace per month. Enterprise adds custom tools and agents for specialized checks.
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. Connections are read-only. Your engineers review and apply any migration through your normal process.
No. Query shape, data distribution, writes and existing indexes all matter. A proposed index needs engineering review against the actual workload.
Enterprise supports custom tools and agents. Teams can define the evidence an agent can access and the checks it should perform.
Investigate production errors across logs, code and data with Operate. Review supporting evidence and a proposed patch before changing production.
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 workflowOperate automatically generates verified knowledge articles from root causes. Teams can manually manage, edit and verify articles for future production investigations.
Explore this workflowNeed engineers to help handle the work? Explore managed operations.