DeployAngel VS Sleuth

• Deploy verdict
  Every production deploy ends Cleared, Failed, or Not cleared yet, with the evidence behind it
• Release-to-release baseline
  Compares each release with the last one it cleared, not with the hour before the deploy
• HTTP regression detection
  5xx rate and p95 latency per route, with explicit sample sizes and thresholds
• Exception detection
  New exception fingerprints and spikes in existing ones, stable across deploys
• Background job verification
  Job failure rate and duration regressions, per job class
• Scheduled job monitoring
  Missed or failed recurring runs, during a release and between releases
• Silent failure detection
  Routes, jobs, and webhooks whose traffic collapses while nothing errors
• Worker and agent silence alerts
  Alerts when workers stop picking up jobs or an app stops reporting
• Clearance report
  What was exercised, what wasn't, and what DeployAngel is still watching
• Latency watch
  Keeps comparing latency through the release's first day and alerts on late regressions
• Critical flows and checkpoints
  Name the paths that matter more than their traffic suggests and verify they ran
• Human-only acceptance
  An intentional drop is accepted by a person on the dashboard with a reason, never by an agent
• AI investigation
  Optional explanation of a failure, run only after the deterministic rules have found it
• Rollback guidance
  Names the last cleared release and the migrations a rollback would cross
• Coding agent integration
  CLI, MCP server, and CI exit codes so an agent can wait on the verdict
• GitHub integration
  GitHub Action for deploy pipelines and commit checks on the repository
• Notifications
  Slack, email, PagerDuty, signed webhook, Honeybadger Insights, AppSignal markers
• Deploy detection
  Automatic on Heroku and GitHub Actions, one-line deploy hook anywhere else
• Staging promotion
  Tracks a release from staging to production and shows the staging verdict
• Shareable release pages
  Public read-only link to any release's verdict and report
• Fire drill
  Tests the whole alert path without sending traffic or writing telemetry
• Open-source agents
  MIT-licensed for Rails, Hanami, Sinatra, Django, FastAPI, Flask, and ASP.NET Core
• Privacy by design
  Aggregated counts and histograms only, no request bodies, parameters, cookies, or logs
• Hands off production
  Never sends traffic to your app and never rolls anything back

• Visibility into Deployment
  Sleuth provides detailed insights into the deployment process, allowing teams to understand what changes are being released and when.
• Accelerated Development
  With streamlined tracking of changes and deployments, Sleuth helps teams move faster by reducing the time spent on manual coordination.
• Integration with Tools
  Sleuth integrates with popular development tools like GitHub, Jira, and Slack, making it easy to incorporate into existing workflows.
• Impact Measurement
  The platform helps measure the impact of deployments in terms of performance and user experience, which aids in making data-driven decisions.
• Error Tracking
  Sleuth aids in identifying and tracking errors back to specific changes, thereby improving debugging processes.

Possible disadvantages

• Complex Setup for Beginners
  For teams unfamiliar with deployment tracking tools, setting up Sleuth with all its integrations can be complex and time-consuming.
• Cost
  As a premium tool, the pricing may be a barrier for small teams or startups with limited budgets.
• Learning Curve
  New users might face a learning curve to fully utilize all the advanced features offered by Sleuth.
• Overhead for Small Teams
  For very small teams or simple projects, the feature set might be more than required, adding unnecessary complexity.

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Sleuth Review

More videos

Tracking DeployAngel since Nov 2026.

• [Circle CI] How can i block merging in github until successful deployment check

  I can tell you how my product (sleuth.io) does it. If it detects a push to master that isn't deployed, it adds a PR/commit status check of red to every open PR. Then at the end of the deployment and optionally after a final check, it... Source: about 4 years ago

• How do you measure DORA Metrics

  For starters, there a number of tools such as Sleuth (disclaimer: am co-founder) that will measure the metrics for you. There are also open source options like Four Keys and many vendors like Gitlab also provide some or all metrics as... Source: about 4 years ago

• Measuring DORA key metrics

  Sleuth co-founder here. My dev team uses our own tool to track DORA metrics, and I've found there are some things the metrics are great for, and others that don't really pan out. I made a video it, but the tl;dr; is metrics themselves... Source: over 4 years ago