# dora metrics DORA metrics are five software delivery performance metrics used to measure software delivery throughput and instability and support continuous improvement. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Port vs. Jellyfish: Engineering Intelligence Compared DevFeed: [Port vs. Jellyfish: Engineering Intelligence Compared]() Original publisher: [Read original article]() Author: Tomasz Skora Published: 2026-09-15T12:02:54Z Content type: comparison Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Software Engineering](), [Developer experience](), [dora metrics](), [AI Strategy](), [code productivity]() Tags: [ai-adoption](), [compare](), [devex](), [dora-metrics](), [engineering](), [software-engineering](), [workflows]() ### AI overview A comparison of Port and Jellyfish as Engineering Intelligence platforms. Jellyfish focuses on analytics and decision support for engineering performance, investment, developer experience, and AI impact, while Port connects findings to software context, owners, standards, and governed workflows so teams can act and measure outcomes. ### Source excerpt Compare Port and Jellyfish across Engineering Intelligence, AI impact, DevEx, software context, governed workflows, and measurable outcomes. ## Agents, Randomness, and Receipts: Notes from trivago's QA Meetup DevFeed: [Agents, Randomness, and Receipts: Notes from trivago's QA Meetup]() Original publisher: [Read original article]() Author: Aasma Jabin Quality Assurance Engineer Linkedin profile Published: 2026-08-12T00:00:00Z Content type: article Language: en Sources: [Trivago]() Topics: [Testing](), [Artificial Intelligence](), [AI Agent](), [dora metrics](), [Automation](), [Git](), [Open Source]() Tags: [ai](), [ai-agent](), [automation](), [dora-metrics](), [git](), [open-source](), [pull-requests](), [quality-assurance](), [testing]() ### AI overview The article reports on trivago's QA Meetup, covering talks about AI adoption metrics in software delivery, an AI agent for testing API integrations, and randomized automated tests for finding defects missed by deterministic testing. It also describes Qase.io's git-ai attribution tool and reported changes in DORA metrics after AI adoption. ### Source excerpt In July, we opened the doors of our Düsseldorf campus for this year's QA Meetup, bringing together around 90 people from testing, engineering, and beyond. Hosting this meetup has become a bi... ## Why Platform Engineers Need Developer Feedback DevFeed: [Why Platform Engineers Need Developer Feedback]() Original publisher: [Read original article]() Author: John Crowley Published: 2026-07-30T10:39:13Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Platform Engineering](), [devex](), [code productivity](), [dora metrics](), [sdlc](), [dashboards](), [telemetry](), [Automation]() Tags: [automation](), [dashboards](), [developer](), [developer-experience](), [devex](), [dora-metrics](), [platform](), [platform-engineering](), [productivity](), [sdlc](), [telemetry](), [workflows]() ### AI overview The article explains why platform engineering teams need systematic, direct developer feedback to improve developer experience, reduce friction, and increase engineering performance. It recommends combining qualitative feedback about engineers' experiences with quantitative signals such as DORA metrics and other SDLC measures. ### Source excerpt Understand why platform engineers need direct feedback to improve developer experience, optimize workflows, and align platforms with real needs. ## How to Implement & Track DORA Metrics in Your Organization DevFeed: [How to Implement & Track DORA Metrics in Your Organization]() Original publisher: [Read original article]() Author: Matan Grady Published: 2026-07-30T10:11:28Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [dora metrics](), [internal developer portal](), [Deployment](), [CI/CD](), [Pull Request](), [GitHub](), [GitLab](), [Azure]() Tags: [azure](), [ci-cd](), [deployment](), [developer](), [developer-portal](), [dora-metrics](), [github](), [gitlab](), [guide](), [how-to](), [internal-developer-portal](), [metrics](), [platform](), [pull-requests](), [tools]() ### AI overview This guide explains how to implement and track DORA metrics in an internal developer portal. It covers integrating repository data, creating a deployment blueprint, modeling deployment data, and tracking deployments through pull request or merge request activity. ### Source excerpt Using this guide, you can learn how to implement and track DORA metrics in your internal developer portal. ## Boost Developer Productivity: 8 Key Questions DevFeed: [Boost Developer Productivity: 8 Key Questions]() Original publisher: [Read original article]() Author: Mridhula Venkat Published: 2026-07-24T00:00:00Z Content type: opinion Language: en Sources: [Harness Blog]() Topics: [code productivity](), [dora metrics](), [Developer experience](), [Software Engineering](), [Instrumentation](), [pull-requests]() Tags: [developer-experience](), [developer-productivity](), [dora-metrics](), [efficiency](), [instrumentation](), [metrics](), [productivity](), [pull-requests](), [slack](), [software-engineering]() ### AI overview This article presents eight questions for engineering leaders to assess and improve developer productivity. It argues that story points and commit counts can obscure bottlenecks such as handoff delays, review queues, and context switching, and recommends considering team velocity, deployment frequency, DORA metrics, delivery quality, and business impact. ### Source excerpt Boost developer productivity with 8 essential questions covering metrics, workflows, and team efficiency. Learn how Harness SEI helps. | Blog ## How to measure developer productivity and platform ROI: A complete framework for platform engineers DevFeed: [How to measure developer productivity and platform ROI: A complete framework for platform engineers]() Original publisher: [Read original article]() Author: Sam Barlien Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [Platform Engineering](), [code productivity](), [dora metrics](), [Developer experience]() Tags: [article](), [business-value](), [deployment](), [developer](), [developer-experience](), [developer-productivity](), [dora-metrics](), [efficiency](), [measurement](), [platform](), [platform-engineering](), [productivity]() ### AI overview A guide for platform engineers and technical leaders on measuring developer productivity and platform ROI. It explains why lines of code, story points, and commit counts fail to capture platform value, then introduces DORA metrics and the SPACE framework as approaches for assessing system-level improvements and developer experience. ### Source excerpt A comprehensive framework for platform engineers and leaders to measure developer productivity and platform ROI. Learn why traditional metrics fail, and how to use DORA and SPACE frameworks for accurate assessment. ## Meet Engineering 360: Your hub for developer experience DevFeed: [Meet Engineering 360: Your hub for developer experience]() Original publisher: [Read original article]() Author: Roi Talpaz Published: 2026-07-22T11:34:04Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [devex](), [Platform Engineering](), [dora metrics](), [Automation](), [Tech Debt]() Tags: [automation](), [developer-experience](), [developer-tools](), [devex](), [dora-metrics](), [internal-developer-portal](), [platform-engineering](), [tech-debt]() ### AI overview Engineering 360 is presented as a hub for developer experience that combines engineering intelligence, surveys, quantitative metrics such as DORA, and an internal developer portal. It aims to help platform and engineering teams identify friction, prioritize improvements, automate resolutions, and measure outcomes. ### Source excerpt We launched Engineering 360 to help engineering organizations close that loop: to gather insights, prioritize efforts, and turn feedback into visible outcomes. ## Modern Mainframe DevOps: Automate CI/CD for z/OS Application DevFeed: [Modern Mainframe DevOps: Automate CI/CD for z/OS Application]() Original publisher: [Read original article]() Author: Eric Minick Published: 2026-06-10T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [Mainframe](), [CI/CD](), [DevOps](), [Platform Engineering](), [Deployment](), [Developer experience](), [dora metrics]() Tags: [automated](), [ci](), [ci-cd](), [declarative](), [deployment](), [developer-experience](), [developer-platform](), [developer-productivity](), [devops](), [dora-metrics](), [os](), [pipelines](), [platform](), [platform-engineering](), [platforms](), [software](), [toolchain](), [tooling](), [workflows]() ### AI overview The article explains how platform engineering teams can integrate mainframe applications into unified CI/CD workflows alongside cloud-native services. It argues that replacing isolated, script-heavy mainframe processes with automated, declarative pipelines can improve visibility, coordinate cross-tier releases, and reduce operational overhead. ### Source excerpt Drive developer productivity by replacing brittle, legacy mainframe scripts with declarative, secure, and fully automated multi-tier release pipelines. | Blog ## Which engineering metrics actually drive outcomes? DevFeed: [Which engineering metrics actually drive outcomes?]() Original publisher: [Read original article]() Author: John Crowley Published: 2026-05-07T13:05:28Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [dora metrics](), [Architecture & Design](), [Microservice](), [cloud-infrastructure]() Tags: [architecture](), [cloud](), [dora-metrics](), [infrastructure](), [measurement](), [microservices]() ### AI overview The article explains why DORA metrics alone can mislead engineering organizations when applied uniformly across teams. It argues that metrics should be interpreted in the context of each team's responsibilities, services, dependencies, incidents, architecture, and operational history, with different benchmarks defined for different types of teams. ### Source excerpt Metrics without context don't really drive improvement. And can really do more harm than good. ## Learn how to use scorecards for standards compliance DevFeed: [Learn how to use scorecards for standards compliance]() Original publisher: [Read original article]() Author: Jenny Salem Published: 2026-05-04T10:35:38Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Platform Engineering](), [ci](), [CI/CD](), [Boilerplate](), [dora metrics](), [Application Security]() Tags: [ci](), [compliance](), [dora-metrics](), [engineering](), [how-to](), [internal-developer-portal](), [learn](), [platform-engineering](), [workflows]() ### AI overview This article explains how internal developer portals can use scorecards to define, measure, monitor, and enforce engineering standards. It presents a repeatable framework with examples covering production readiness, application security, cost, pull request review times, DORA metrics, documentation, and continuous integration. ### Source excerpt Use scorecards for standards compliance with repeatable frameworks and examples to enforce consistency across engineering teams. ## Why We Need to Stop Measuring (Developer) Productivity -- Part 2 DevFeed: [Why We Need to Stop Measuring (Developer) Productivity -- Part 2]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-09-23T04:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [developer-productivity](), [Software Engineering](), [dora metrics](), [lead time]() Tags: [culture-developer-productivity-engineering-leadership-leadership-metrics-engineering-excellence](), [developer](), [developer-productivity](), [dora-metrics](), [metrics](), [productivity](), [software-engineering]() ### AI overview This second part of an article argues that developer productivity cannot be measured directly because software output and business value are difficult to measure and may emerge with delays. It says teams can use metrics such as DORA Metrics as proxies for understanding engineering performance, but these metrics should not be used by management to measure individual or team productivity. ### Source excerpt Why We Need to Stop Measuring (Developer) Productivity -- Part 2 This is part two of my article on measuring developer productivity. In part one, we discussed the dangers of measuring productivity in general and why the need for productivity metrics for management and leadership is based on flawed assumptions. ## Driving successful change: Understanding DORA's Change Failure Rate metric DevFeed: [Driving successful change: Understanding DORA's Change Failure Rate metric]() Original publisher: [Read original article]() Author: Luis Gonzalez Published: 2023-07-05T13:29:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [dora metrics](), [Deployment](), [incident](), [DevOps](), [site-reliability-engineering]() Tags: [article](), [deployment](), [devops](), [dora-metrics](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [slack-incident](), [software-development](), [sre](), [testing]() ### AI overview This article explains DORA's Change Failure Rate metric, which measures the percentage of changes that result in incidents or service disruptions. It discusses how the metric can reveal inefficiencies across development, testing, and deployment, and offers benchmarks and practical guidance for improving successful change delivery and incident response. ### Source excerpt By using DORA's change failure rate metric, organizations can highlight inefficiencies in deployment processes and prevent pesky incidents from repeating. ## Optimizing incident response: Understanding DORA's Time to Restore Service metric DevFeed: [Optimizing incident response: Understanding DORA's Time to Restore Service metric]() Original publisher: [Read original article]() Author: incident.io Published: 2023-06-28T16:00:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [dora metrics](), [incident](), [Incident response](), [incident management]() Tags: [benchmarks](), [complexity](), [dora-metrics](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [metrics](), [outage](), [post-mortem](), [reduce](), [slack-incident]() ### AI overview This guide explains DORA's Time to Restore Service metric, which measures the time between incident detection and complete service restoration. It discusses benchmarks, contextual factors that affect restoration time, and ways to improve incident response processes and reduce downtime. ### Source excerpt By using DORA's time to restore service metric, organizations can reduce downtime through meaningful improvements to their response processes. ## How to Measure Developer Experience: The Danger of Metrics DevFeed: [How to Measure Developer Experience: The Danger of Metrics]() Original publisher: [Read original article]() Author: tobi@techunicorn.builders (Tobias Mende) Published: 2023-06-24T05:00:00Z Content type: opinion Language: en Sources: [Tobias Mende]() Topics: [Developer experience](), [code productivity](), [dora metrics](), [lead time]() Tags: [culture-developer-experience-developer-productivity-metrics-engineering-excellence](), [developer-experience](), [developer-productivity](), [dora-metrics](), [lead-time](), [metrics]() ### AI overview The article examines how to measure developer experience and productivity, arguing that relying solely on numerical and output metrics can create false confidence and skewed insight. It contrasts metrics such as DORA metrics, merge requests, commits, and story points with engineer satisfaction and well-being as leading indicators. ### Source excerpt How to Measure Developer Experience: The Danger of Metrics Whenever I talk with people about developer experience or developer productivity, one question is never far: How do we measure it? ## Shipping at speed: Using DORA's Deployment Frequency to measure your ability to deliver customer value DevFeed: [Shipping at speed: Using DORA's Deployment Frequency to measure your ability to deliver customer value]() Original publisher: [Read original article]() Author: Luis Gonzalez Published: 2023-05-29T00:00:00Z Content type: tutorial Language: en Sources: [The incident.io Blog]() Topics: [dora metrics](), [Deployment](), [DevOps]() Tags: [incident](), [incident-channel](), [incident-management](), [incident-response](), [outage](), [post-mortem](), [slack-incident]() ### AI overview The article explains DORA deployment frequency as a metric for how often an organization successfully releases to production. It discusses how frequent, smaller deployments can help DevOps teams assess delivery efficiency and isolate problems more easily when incidents occur. ### Source excerpt By using DORA's deployment frequency metric, organizations can improve customer impact and product reliability. ## Development efficiency: Understanding DORA's Mean Lead Time for Changes DevFeed: [Development efficiency: Understanding DORA's Mean Lead Time for Changes]() Original publisher: [Read original article]() Author: Luis Gonzalez Published: 2023-05-26T00:00:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [dora metrics](), [DevOps](), [Deployment](), [software-development]() Tags: [deployment](), [development](), [devops](), [dora-metrics](), [efficiency](), [engineering](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [metrics](), [outage](), [post-mortem](), [production](), [slack-incident](), [software-development](), [speed]() ### AI overview The article explains DORA's Mean Lead Time for Changes metric, which measures the time from committing code to making it available in production. It describes how DevOps teams can use the metric to improve delivery speed and discusses incident.io's Insights feature for learning from incidents. ### Source excerpt By using DORA's Mean Lead Time for Changes metric, organizations can increase their speed of iteration ## What are DORA metrics and why should you care about them? DevFeed: [What are DORA metrics and why should you care about them?]() Original publisher: [Read original article]() Author: Luis Gonzalez Published: 2023-05-03T00:00:00Z Content type: article Language: en Sources: [The incident.io Blog]() Topics: [dora metrics](), [DevOps](), [Google](), [Deployment](), [Resilience]() Tags: [deployment](), [devops](), [dora-metrics](), [google](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [metrics](), [outage](), [performance-metrics](), [post-mortem](), [resilience](), [slack-incident](), [software-delivery]() ### AI overview This article explains DORA metrics, a framework developed by Google Cloud's DevOps Research and Assessments team to evaluate how effectively and efficiently teams deploy, deliver, and maintain software. It introduces deployment frequency and lead time for changes, while noting that organizations may define deployment and software delivery differently. ### Source excerpt Google's DORA metrics can help organizations create better products, build stronger teams, and improve resilience long-term.