Best DORA Metrics Tools for Docker

Compare the Top DORA Metrics Tools that integrate with Docker as of October 2025

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This a list of DORA Metrics tools that integrate with Docker. Use the filters on the left to add additional filters for products that have integrations with Docker. View the products that work with Docker in the table below.

What are DORA Metrics Tools for Docker?

DORA metrics tools are software tools designed to measure and improve software development and delivery performance based on key metrics established by the DevOps Research and Assessment (DORA) team. These tools track four critical metrics—deployment frequency, lead time for changes, mean time to recovery, and change failure rate—to gauge the efficiency, stability, and resilience of a DevOps team. By providing real-time insights into these metrics, DORA tools help organizations identify bottlenecks, optimize workflows, and enhance software quality. They often integrate with CI/CD pipelines and other development tools, making it easy to monitor performance across the entire software lifecycle. DORA metrics tools are invaluable for engineering and DevOps teams aiming to achieve high performance and continuous improvement in software delivery. Compare and read user reviews of the best DORA Metrics tools for Docker currently available using the table below. This list is updated regularly.

1

Faros AI

Faros AI

Faros AI connects the dots between your engineering data sources – ticketing, source control, CI/CD, and more – giving unprecedented visibility and insight into your engineering processes. Be amazed at what you can achieve with Faros AI. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

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2

Apache DevLake

Apache Software Foundation

Apache DevLake (Incubating) ingests, analyzes, and visualizes the fragmented data from DevOps tools to distill insights for engineering excellence. Your data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC). From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation. Select, transform and set up a schedule for the data you wish to sync from your prefered data sources in the config UI. View pre-built dashboards of a variety of use cases and learn engineering insights from the metrics. Customize your own metrics or dashboards with SQL to extend your usage of DevLake.

Starting Price: Free

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3

Codacy

Codacy

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

Starting Price: $15.00/month/user

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4

Harness

Harness

Harness is an AI-native software delivery platform that helps engineering teams achieve excellence by automating and streamlining the entire software delivery lifecycle. It enables continuous integration, continuous delivery, and GitOps for multi-cloud, multi-region deployments with increased speed and reliability. Harness simplifies infrastructure as code, database DevOps, and artifact management to improve collaboration and reduce errors. The platform offers AI-powered testing, incident response, chaos engineering, and feature management to enhance quality and resilience. Harness also provides cloud cost management, security testing orchestration, and developer insights to optimize performance and governance. Trusted by leading enterprises, Harness accelerates innovation while reducing manual effort and risk.

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5

Opsera

Opsera

You choose your tools, we take care of the rest. Put together the perfect CI/CD stack that fits your organization’s goals with zero vendor lock-in. ‍Eliminate manual scripts and stop building toolchain automation. Free your engineers to focus on your core business. Pipeline workflows follow a declarative model so you focus on what is required — not how it’s accomplished — including: software builds, security scans, unit testing, and deployments. With Blueprints, diagnose any failures from within Opsera using a console output of every step of your pipeline execution. Comprehensive software delivery analytics across your CI/CD process in a unified view — including Lead Time, Change Failure Rate, Deployment Frequency, and Time to Restore. ‍Contextualized logs for faster resolution and improved auditing and compliance.

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