DORA metrics that lead you forward

See your DORA metrics in minutes, plus the insights to help your team improve, with minware's purpose-built engineering management data platform.
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Improve your development lifecycle end-to-end

Quality

Track bug rates, time-to-fix, and more to address quality issues at their source.

Efficiency

Look at cycle times, task sizes, and more to uncover hidden bottlenecks.

Predictability

Compare ticket, sprint, and project progress to plans and pinpoint delivery risks.

Value

See where engineering time went to track effort vs. value delivery.

Answer real questions with minware’s report library

How can we increase velocity?

Identify bottlenecks at a glance with minware’s Cycle Time and Workflow dashboard.

Are we resolving high-priority bugs on time?

Access a full set of metrics broken down by bug priority level with minware’s Bug Resolution dashboard.

What are the biggest bottlenecks?

Investigate how work flows between different ticket statuses, where the most time is spent, and unexpected bounce backs in the Ticket Cycle Time dashboard.
See Your Data

Debug bottlenecks with ease

Debug bottlenecks with ease

Zoom in with minware’s full work timeline to see exactly what happened and why.
minware builds the timeline from Git, ticket, and meeting data using our patent-pending time model – no time tracking required.
Read about minware’s time model >

Break down metrics by any historical field

Break down metrics by any historical field

All reports are fully editable with minware’s report builder.
Break down metrics like PRs merged or active work time by any current or historical field (e.g., PR approval or ticket label).
minware natively stores the complete history of every field (including custom fields and labels) for seamless end-to-end visibility.
See report builder live >

Customize any metric with minQL

Customize any metric with minQL

Skip the Jira cleanup – all metrics are fully editable with minQL formulas.
Access any field from any source (including custom CSV/JSON uploads) with a full suite of database functions for total control and flexibility.
minQL also supports advanced SQL features like time-series joins and window functions.
Read the minQL docs >

Integrate with any source and front end

Integrate with any source and front end

minware integrates with popular Git, ticket, and calendar systems, as well as any custom CSV/JSON format.
View reports in minware’s dashboards, download CSV, or connect to any tool with our minQL-based ODBC driver.
See all integrations >
GitHub
Azure
Jira
Google
CSV/JSON
More
Data Ingest
Identity Linking
Time Modeling
Performance Caching
Time-Native minQL Engine
minware Dashboards
CSV Export
BI Tools
Headless ODBC

Enterprise flexibility, security, and performance

We designed minware from the ground up for Fortune 500 customers to handle homegrown systems, fragmented tools, large orgs, and secure environments.

Dynamic Table Caching

The patent-pending minQL engine dynamically caches tables for on-the-fly custom metrics with instant results for millions of rows.

Custom Data Integration

Integrate seamlessly with any structured or semi-structured data source including flat file uploads and custom APIs. Read more >

Identity/Team Management

minware automatically normalizes aliases across all your systems and supports multi-level team structure imports in any format. Read more >

Role-Based Access Control

Easily control team and individual data access permissions for minware users based on their role and team membership. Read more >

On-Premise Ingest Agent

The on-premise ingest agent uploads files to a shared storage bucket. You maintain full control over keys and data. Read more >

AICPA SOC 2 Type 2 Certified

minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.

Frequently Asked Questions

How does minware calculate DORA metrics more accurately than native GitHub or Jira dashboards?

minware combines Git, ticketing, and CI/CD data to deliver complete and reliable DORA metrics. It maps deployments to commits, pull requests, and tickets to calculate lead time for changes, deployment frequency, change failure rate, and MTTR with high precision.

What makes minware a better DORA metrics tool than open-source dashboards or custom scripts?

minware is a production-ready DORA metrics software platform that handles rebases, multiple pipelines, and hybrid workflows. It replaces brittle dashboards with a robust DORA metrics dashboard for enterprise reporting.

Can minware track DORA metrics across GitHub, GitLab, Bitbucket, and Azure DevOps?

Yes. minware supports GitHub DORA metrics, GitLab DORA dashboards, Bitbucket integrations, and Azure DevOps pipelines to unify measurement across environments.

How is change failure rate calculated in minware?

minware detects failed deployments via incident linkage, hotfixes, or rollbacks and reports the percentage over time. These change failure rate metrics highlight systemic delivery risks.

How does minware reduce MTTR and help teams recover from failures faster?

minware tracks MTTR by linking incidents to deploy events. It helps teams reduce MTTR by surfacing where failures occur and what recovery actions were effective.

Can minware track DORA metrics automatically without requiring changes to developer workflows?

Yes. minware requires no tagging or status changes. It calculates all four DORA kpi metrics automatically using engineering system data.

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