Stop Faking DORA Metrics. Start Measuring Real Deployments.
Most tools estimate deployment frequency from PR merges. That is not a deployment. CodePulse tracks actual deployments via GitHub's Deployments API, release tags, and environment branches, giving you DORA metrics you can actually trust.
PR Merge ≠ Deployment. Here is Why It Matters.
The Accelerate State of DevOps research defines deployment frequency as how often code reaches production. Most analytics tools count PR merges to main and call that "deployment frequency." But merging code is not the same as releasing it. Conflating the two inflates your numbers and hides real bottlenecks.
What Other Tools Call "DORA"
- ✗PR merged to main = "deployed"
- ✗No awareness of staging, QA, or production environments
- ✗Hotfixes and rollbacks are invisible
- ✗Lead time stops at merge, not at production
What CodePulse Actually Tracks
- ✓GitHub Deployments API events per environment
- ✓Release tags with semantic versioning
- ✓Environment branch deploys (staging, production, etc.)
- ✓Full commit-to-production lead time
Four Metrics. One Dashboard. No Guesswork.
Track the four DORA metrics that predict software delivery performance, calculated from your actual deployment events.
CodePulse deployment analytics dashboard - all four DORA metrics at a glance
Where Does Your Team Stand?
Benchmarks from the Accelerate State of DevOps Report. CodePulse automatically classifies your team against these tiers.
| Metric | Elite | High | Medium | Low |
|---|---|---|---|---|
Deployment Frequency How often code reaches production | On-demand (multiple/day) | Daily to weekly | Weekly to monthly | Monthly to semi-annual |
Lead Time for Changes Commit to production | < 1 hour | 1 day to 1 week | 1 week to 1 month | > 1 month |
Change Failure Rate % of deploys causing incidents | < 5% | 5 - 15% | 16 - 30% | 46 - 60% |
Mean Time to Recovery Incident to service restored | < 1 hour | < 1 day | < 1 day | 1 week to 1 month |
Source: Google DORA / Accelerate State of DevOps Report. Elite performers achieve 127x faster lead time and 182x more deploys than low performers. Read our complete DORA metrics guide for context on how to use these benchmarks without weaponizing them.
Three Data Sources. Full Deployment Visibility.
CodePulse reads deployment data from every signal GitHub provides, so your metrics are accurate regardless of how you release.
CodePulse correlates multiple deployment signals for accurate, deduplicated metrics
What Sets CodePulse Apart
Real Deployment Data
Data comes from GitHub's Deployments API, release tags, and environment branches. No proxying PR merges as deployments. What you see is what actually shipped.
Read-Only. No Agents.
Read-only GitHub API access. No CI plugins to install, no agents to maintain, no webhooks to configure. You are measuring in 5 minutes.
Benchmarks Included
Your team is automatically classified against the Accelerate benchmarks. See whether you are Elite, High, Medium, or Low across every metric, every sprint.
Answers to the Questions You Actually Get Asked
"Are we deploying faster or slower than last quarter?"
Deployment frequency trends with automatic period-over-period comparison.
"How long does a commit actually take to reach production?"
Full commit-to-production lead time, not just merge-to-main.
"Which repos have the highest failure rate?"
Change failure rate broken down by repository and environment.
"How fast do we recover from bad deploys?"
MTTR tracked from deployment failure to successful redeployment.
"Can I present DORA metrics to the board?"
Export-ready dashboards with tier classifications and trend lines.
"Do we have data to justify more engineering headcount?"
Deployment load per engineer and bottleneck identification for staffing conversations.
Get Real DORA Metrics in 5 Minutes
Connect your GitHub organization. CodePulse syncs your deployment history, calculates all four DORA metrics, and classifies your team against the Accelerate benchmarks, automatically.
Free tier includes all 4 DORA metrics. No credit card required.