Question: Can you recommend a solution that correlates errors with deployments to optimize code quality?

If you're looking for a tool to match errors to deployments so you can improve code quality, Airbrake is a good option. The error and performance monitoring service lets you see what's going wrong and where and respond to problems in real time. With features like real-time alerts, error and performance correlation with deployments, and stack traces that show you exactly which code is broken, Airbrake can help you deploy with confidence. It supports many programming languages and can integrate with GitHub, Jira and Slack for tight integration.

Another good option is Honeycomb, an observability service designed to let teams figure out what's gone wrong with distributed services. Honeycomb marries logs and metrics into a single workflow with distributed tracing, smart data sampling and debuggable Service Level Objectives (SLOs). Its database responds to queries in seconds, and it can integrate with Slack for better triage and supports OpenTelemetry for direct data ingestion. It's a good choice for teams that want to keep code quality high and deployment processes smooth.

Raygun is another contender, offering real-time insights into application performance, crash reporting and error monitoring. It offers AI-powered error resolution and native integration with services like Slack, GitHub, Jira and Bitbucket. Raygun is geared for developers of all sizes to detect and resolve issues that affect users, so it's a good choice for optimizing code quality.

For developers building mobile and web apps, Firebase Crashlytics offers real-time crash and error reporting. It can capture crashes, group them into issues you can act on, and provide AI crash insights. With integration with Jira and Slack, Firebase Crashlytics is a good choice for quickly finding and fixing app crashes and ensuring a good user experience.