For engineering managers
DORA for engineering managers: know if your team ships well
All five DORA metrics, calculated automatically from real pipeline data across every repo. Trend charts, regression alerts, and Elite / High / Medium / Low ratings. Defensible numbers for leadership, not vibes.
DORA by repo · 30 days · ranked by deploy frequency
DORA · Trends · Regression alerts
Three views every EM uses
Three capabilities the metrics page surfaces, each wired into how your real pipelines run. The same data your engineers see, framed for the conversation you need to have with leadership.
DORA across every repo
Five DORA metrics, ranked by repo, refreshed automatically.
All five DORA metrics (deployment frequency, change lead time, change fail rate, MTTR, and rework rate), calculated from real workflow run data. Each repo shows alongside an Elite / High / Medium / Low rating from the 2024 DORA Report.
- All five DORA metrics, including 2024's Rework Rate
- Per-repo breakdown with rating badge per metric
- Aggregated across every connected CI provider, not just one
Outcome: numbers on the table for the next leadership review.
What's needed: OAuth or access token per provider. Deployments auto-detect on main and master; configure named rules in five minutes if yours live elsewhere.
DORA by repo · 30 days · ranked by deploy frequency
Trends over 7, 30, 90 days
See where the curve bends before the curve becomes a line.
Trend charts for each DORA metric over 7-, 30-, and 90-day windows. Switch the period, see the inflection. Trend lines render at the same resolution your board update needs.
- Daily / weekly trend per DORA metric, per repo or aggregated
- Period selector matches reporting cadence: 7d, 30d, 90d
- Comparison overlay: this period vs previous (for the "is it getting better" question)
Outcome: defensible trend story for leadership, monthly or quarterly.
What's needed: OAuth or access token. Trends populate from existing pipeline data automatically; no extra setup.
Deploy frequency · last 90 days · aggregated
Regression alerts in Slack
Catch a degrading metric in the first week, not the first quarter.
Configurable alerts fire when a DORA metric drops compared to the previous period. Delivered to a Slack channel of your choice with a link straight to the metric view.
- Configurable thresholds per metric (e.g. CFR up > 25% period-over-period)
- Delivered to Slack on Team tier or higher
- Per-repo or estate-wide. Alert on the team you actually own
Outcome: bad trends caught early, before they become a quarterly explanation.
What's needed: Team tier. Slack workspace install (one-click OAuth). Threshold defaults are fine for most teams; tune per metric if you want.
Active alerts · sorted by recency
Same connect, more depth
How we work with engineering management
Three more capabilities the same connect unlocks. Each pays off particularly well when leadership wants more than headline DORA numbers.
PR cycle time
Reviewer wait time and time-to-first-green per repo
The hidden delays in PR flow: how long a PR sits waiting for review, how long for CI to go green, and PR-to-deploy latency. Where the queue is actually forming.
Ratings
Elite / High / Medium / Low rating per repo and metric
Every metric on every repo gets a rating against the 2024 DORA Report thresholds. Useful framing for setting team targets without inventing your own scale.
Cross-provider
DORA aggregated across GitHub, GitLab, Jenkins, and more
Mixed estates mid-migration get an honest aggregate view. Each provider also breaks out separately so you can see Jenkins lead time next to GitHub Actions lead time.
All from one connect
Plus the rest of the toolkit
DORA is what most EMs come for. Same connect also gives you cost tracking, PR health, stability classification, performance ratings, security insights, Slack, CLI, and an MCP server.
Cost tracking →
Compute charges plus developer wait time. Waste auto-categorised by type. Team tier.
PR health →
Per-repo CI failure rates, reviewer wait time, and PR-to-deploy latency. Team tier.
Stability classification →
Every pipeline auto-classified healthy, flaky, or broken. Trend detection on each.
Performance ratings →
Per-pipeline performance scoring across the estate. Spot the slow outliers.
Security insights →
Per-repo security-scan detection rolled up across the estate. Business tier.
Slack notifications →
Regression alerts, failure alerts, and degradation alerts in your team channel. Team tier.
CLI →
Query DORA, costs, and pipeline status from your terminal. Pipe it anywhere.
MCP server →
Hook Claude, Cursor, or any AI agent into live DORA and pipeline data.
Pricing
Flat per tenant
Start free for one team. Team and Business tiers are flat monthly rates per tenant. Enterprise is custom for organisations needing SSO, audit logging, and security review.
Free
For one team getting started with up to 3 repos.
- 3 repos
- 1 team member
- All five DORA metrics
- 30-day trends
- Email support
Team
Flat rate per tenant. Up to 20 repos and 10 team members.
- 20 repos
- 10 team members
- Everything in Free
- 90-day trends and full history
- Regression alerts in Slack
- PR health, performance ratings
Business
Flat rate per tenant. Up to 100 repos and 50 team members.
- 100 repos
- 50 team members
- Everything in Team
- Audit findings and cost-optimization opportunities
- Priority support
Comparison
How CI/CD Watch compares for engineering managers
A 10-person engineering team running across two providers. Headline pricing only; deeper feature comparisons live on the linked pages.
CI/CD Watch$29 / mo flat (Team) | ||||
|---|---|---|---|---|
| All five DORA metrics from CI data | Auto-detected | Yes, commit-inferred | Add-on | Yes |
| DORA across multiple providers | Yes, aggregated | Yes | Yes | Limited |
| PR cycle time | Yes | Primary feature | Limited | No |
| Cost tracking (compute + wait time) | Yes, with wait time | Wait time only | Compute only | No |
| Pricing model | Flat per tenant | Per contributor | Per committer + spans | Custom |
| Setup time | ~2 min OAuth per provider | OAuth + GitHub app | Agent install per repo | OAuth + config |
Competitor pricing reflects each vendor's published headline rate. See the linked comparison pages for fuller feature matrices and verified sources.
5
DORA metrics from day one
~2 min
to connect each provider
0
agents to install anywhere
Flat
per-tenant pricing
FAQ
Engineering management specifics
- What if our deploys aren't tagged the standard way?
- Deployments auto-detect on main and master out of the box. If yours live elsewhere (release branches, env-scoped jobs, reusable workflows), configure named detection rules per repo. Setup takes about five minutes per repo. You don't need to change anything in your CI config.
- How is this different from LinearB?
- LinearB centres on PR-level workflow data (commits, reviews, cycle time) with DORA layered on top. CI/CD Watch centres on the CI pipeline data and derives DORA from real deploys. For an EM choosing between them: LinearB if your bottleneck is review/cycle time and team behaviour; CI/CD Watch if your bottleneck is delivery health, cost, and CI/CD stability. They overlap on DORA. We use real pipeline runs; LinearB uses commit-to-merge inference plus deploy webhooks.
- How are DORA metrics calculated?
- All five DORA metrics are derived from real workflow run data using your configured deployment-detection rules: deployment frequency, change lead time, change fail rate, failed deployment recovery time (MTTR), and deployment rework rate. The full methodology is in /docs/dora-metrics. Each metric is shown alongside the Elite / High / Medium / Low rating from the 2024 DORA Report.
- Can we get DORA across multiple CI providers?
- Yes. Connect each provider separately (GitHub Actions, GitLab CI, Bitbucket Pipelines, CircleCI, Azure DevOps, Jenkins). DORA metrics include runs from every connection, aggregated. Useful for mixed estates mid-migration or when different teams use different CI.
- How do we get the metrics into a board update?
- The metrics page renders trend charts over 7, 30, and 90 days. Screenshot-friendly for board decks. Public API exposes the same numbers programmatically for teams who want to pipe them into Notion, Confluence, or a spreadsheet. CSV export is on the roadmap.
- What happens if a metric trends in the wrong direction?
- Configurable regression alerts fire when a metric drops period-over-period. Alerts deliver via Slack on Team tier or higher, with a link to the metric view. You set the sensitivity (10% drop, 25% drop, etc.) per metric per repo.
- Will it slow down our pipelines?
- No. CI/CD Watch reads from each provider's API after pipelines complete. No agents, no YAML changes, no impact on build time or billing. Setup is OAuth (most providers) or an access token (Jenkins, GitLab, Azure DevOps).
- Is pricing per developer?
- No. CI/CD Watch is flat per tenant: $0 Free, $29 Team, $99 Business per month. Team and member caps differ per tier; consumption inside those caps is unmetered. Predictable line item on your team's tooling budget.
- What about pull-request metrics?
- PR health is a separate view on Team tier and above. Per-repo CI failure rates, reviewer wait time, time-to-first-green, and PR-to-deploy latency. Useful for spotting where the queue is forming.
More on CI/CD monitoring
Read, compare, or get started
Guide
Deployment detection
Auto-detection covers main and master. Configure named rules for reusable workflows or non-default branches.
Guide
Audit
How CI/CD Watch audits your pipelines for missing tests, missing lint, and other CI/CD hygiene gaps.
Blog
What are DORA metrics and why should you track them?
The four (now five) signals from DORA Research that measure how well a software team delivers. What each one means and how to read them.
Blog
CI/CD monitoring: beyond watching pipelines go green
What estate-level CI/CD monitoring should actually surface, and where most dashboards stop short.
Blog
The true cost of CI/CD: compute, wait time, and waste
Compute is half the bill. Developer wait time is usually the bigger half. The taxonomy of CI/CD cost and where the waste lives.
Blog
Flaky tests: what they are, why they happen, how to fix them
Practical patterns for catching flaky tests early, ranking them by impact, and clearing them without halting feature work.
Explore other use cases
See how CI/CD Watch helps every role in your engineering org.
For Developers
Real-time build monitoring, PiP mode, and test failure drill-downs.
For Platform, DevOps & SRE
Multi-provider consolidation, stability classification, and optimisation suggestions.
For Tech Leads
CI cost tracking, waste detection, and PR health monitoring.
For DevSecOps
Inventory security control coverage across every repo. Find gaps and copy-paste the fixes.
For AI-assisted development
Wire CI/CD Watch into Claude Code, Cursor, Windsurf, or any MCP client. Eight read-only tools, two-minute setup.
DORA you can defend to leadership.
Connect your providers in two minutes each. All five DORA metrics, trends, and regression alerts ready before your next 1:1 with the boss.