Firetiger
Pull-request monitoring that follows deployments and returns a verdict with evidence to the engineering workflow.
About Firetiger
Firetiger monitors production changes around the pull request. It reads the diff, builds a monitoring plan for that change, then follows its rollout through staging, canary, and production. Each deployment receives one verdict: verified, regression detected, or inconclusive. Results and supporting evidence can return to the PR and related engineering workflows, helping teams connect a production symptom to the responsible change. This approach fits teams that need deployment-level evidence beyond static dashboards or ticket-based failure-rate estimates. A 14-day trial comes first. Pricing then starts at $5 per monitored PR each month. Each environment after the first costs $0.25 per PR; investigations cost $0.50, and custom agent sessions cost $0.25. Active services are $5 per month and active objectives are $1 per month, although the first services and objectives are free. Ingestion is unlimited and storage is included, but metered activity can still make the bill vary.
Best for
Best use cases
Identify the pull request behind a production regression
Measure change failure rate from deployment telemetry
Check whether a code change achieved its intended production effect
Compare before choosing
Adds change-specific monitoring alongside existing observability tools
Returns evidence on the PR instead of requiring dashboard-only investigation
Uses per-PR and usage charges rather than seat-based pricing
Features
Verify each deployment
Read a pull-request diff, create a change-specific monitoring plan, and return a verified, regression detected, or inconclusive verdict after rollout.
Watch multiple environments
Track staging, canary, and production independently so teams can compare the same change as it moves through delivery.
Route regression evidence
Post the affected scope and supporting signals back to the pull request, Slack workflow, or incident timeline where engineers can act.
Pros
- Deployment verdicts appear directly in the pull-request workflow.
- Diff-specific plans can catch regressions hidden by aggregate dashboards.
- Unlimited ingestion includes storage and avoids seat fees.
Cons
- Monitoring many PRs can make the $5 per-PR charge add up quickly.
- Extra environments, investigations, and agent sessions are billed separately.
- Useful verdicts depend on integrating relevant deployment and telemetry systems.
Pricing Plans
Usage
- 14-day free trial with no card required
- One Change Monitor per watched PR
- Unlimited data ingestion with storage included
- No seat fees; investigations and agent runs are usage-based
Enterprise
- Bring-your-own-cloud deployments
- Negotiated ingestion and agent-analysis rates
- Redlined MSAs and BAAs
- Support for unlimited scale
* Pricing information is for reference only. Please refer to the latest announcement on Firetiger's official website.