𝗣𝗼𝘀𝘁 𝟲/𝟲: Stop doing Waterfall in two-week chunks. Start measuring what matters: rapid, safe delivery of value to customers.

Complete improvement playbook: rjj-software.co.uk/blog/when-ag...

#Agile #DORAMetrics

DORA metrics considered harmful. Alfred Nobel created the Nobel Prizes to recognize those individuals who had most benefited man-kind. Alfred Nobel was an entrepreneur who also invented Dynamite which he intended to be used to mak…

Provocative article: DORA metrics are valuable at the team level, "harmful" when used to compare teams or measure overall productivity. This resonates with my view that context is key when it comes to measuring true value delivery. theitriskmanager.com/2025/12/19/d... #DORAMetrics #AgileLeadership

CI/CD Pipelines Explained: How to Ship Software Fast Without Breaking Everything A practical guide to continuous integration, continuous delivery, deployment strategies, and the DevOps practices that help teams release software multiple times per day with confidence.

CI/CD Pipelines Explained: How to Ship Software Fast Without Breaking Everything

techlife.blog/posts/ci-cd-...

#CICD #DevOps #ContinuousIntegration #ContinuousDelivery #DeploymentStrategies #BlueGreenDeployment #CanaryReleases #FeatureFlags #InfrastructureAsCode #DORAMetrics

DORA metrics are a key performance measure for successful engineering teams. Find out what they are and how you can visualize them with SquaredUp dashboards

Join us at SquaredUp Live

📆 October 8th 2025
🕒 2pm (UK time)

squaredup.com/events/squar...

#dorametrics #squareduplive #dashboards

The Complete DORA Metrics Implementation Guide A practical guide to DORA metrics implementation for engineering teams that need fast, realistic measurement without enterprise budgets or platform teams.

The complete DORA metrics implementation guide of your dreams, live on Flux's website now: askflux.ai/blog/the-com...

#DORAmetrics #devopsleadership #engineeringexcellence

Tired of opaque SaaS dashboards? Middleware gives you a crystal-clear view of engineering delivery with features like AI-generated sprint summaries 🤖 and DORA metrics. Self-host it to own your data, cut costs, and escape vendor lock-in. #SelfHosted #DevOps #OpenSource #DORAMetrics #Engineering

Ed LeGault presents on 'Optimizing Software Delivery with DORA Metrics and Evidence Based Management' July 25th at Nebraska.Code().

nebraskacode.amegala.com

#DevOps #research #assessment #dorametrics #changefailurerate #deployment #evidencebasedmanagement #EBM #Nebraska #TechnologyConference l

How to create a DORA metrics dashboard - SquaredUp Get full oversight of your DORA metrics with this step-by-step guide on how to build a DORA metrics dashboard in SquaredUp.

It's day two of our DORA week and today we're getting hands-on. This blog article shows how you can take advantage of some of SquaredUp's advanced features such as SQL Analytics and WIQL support to build your own DORA dashboards:

squaredup.com/dashboard-ga...

#DORAMetrics #DevOps

How Zoopla used DORA metrics to boost deployments, increase automation and more GitLab customer Zoopla used the DORA metrics to boost production deployments from once a week to roughly 40 times a day. And that was only one of the performance improvements...

This week we are going to be putting the spotlight on DORA metrics. We are kicking off with this article on how Zoopla used DORA metrics to boost their deployment rate from once a week to 40 times a day!

about.gitlab.com/blog/2022/01...

#DORAMetrics #DevOps #CICD

“Maturity models told teams what to do. DORA tells them where to invest.”

That shift changed the way I help teams grow.

#DevOps #DORAMetrics #ITLeadership

Expert Interview with Chris Richardson

The 8th episode of our SAG Expert Interview series is live! 🥳
@crichardson.bsky.social explains how teams can speed up software delivery while maintaining reliability, using #FastFlow, #DevOps, #TeamTopologies, and #DORAmetrics.
👉 t1p.de/vrngg

#SAGconf #SAG2024 #SoftwareArchitecture #iSAQB

tani.ai - Engineering Team Analytics Platform Get real-time insights into your engineering team's performance. Track productivity, code quality, and delivery metrics.

Being married to a software developer means I now have opinions on DORA metrics, lead time, and CI/CD pipelines.
I didn’t choose the nerd life, the nerd life chose me 🤷‍♀️

tani.ai/blog/dora-me...

#DevOps #DORAMetrics #TechLife

DORA Metrics: Understanding Their Key Indicators If you want to take your engineering team to the next level, you need to measure what really matters. Shipping fast without sacrificing quality is one of the biggest challenges for tech leadership. That’s where DORA Metrics come in. They give you a clear picture of how your team is performing and where there’s room for improvement. In this article, we’ll break down the four key DORA Metrics: **Lead Time to Changes, Deployment Frequency, Mean Time to Recovery (MTTR), and Change Failure Rate**. You’ll learn how each one works and how to optimize them to achieve high performance without compromising stability. ## Where Did DORA Metrics Come From? DORA Metrics originated from research by the **DevOps Research and Assessment (DORA)**, a study conducted by Google that analyzed thousands of engineering teams to identify what sets high performers apart from the rest. The result? Four fundamental metrics that measure the efficiency and reliability of software development and delivery. DORA’s research found that elite teams don’t just ship code faster—they also maintain operational stability. In other words, speed without quality is useless. DORA Metrics have become the gold standard for measuring an engineering team’s maturity and guiding continuous improvement. ## The 4 DORA Metrics and How to Optimize Them #### 1. Lead Time to Changes **Lead Time to Changes** measures the time between writing code and deploying it to production. This timeframe varies depending on the size of the change, the complexity of the application, and the maturity of the development pipeline. High-performing teams measure this in **hours or a few days**. Less mature teams can take weeks. A long lead time is often a sign of bottlenecks in areas like: * Slow or bureaucratic code review processes. * Excessive or inefficient manual testing. * Slow approvals and too many dependencies between teams. **How to optimize?** * Automate testing and integration to cut validation time. * Improve code review processes with automation tools and best practices. * Identify and eliminate unnecessary steps in the delivery pipeline. * Break down large changes into smaller, incremental releases. #### 2. Deployment Frequency **Deployment Frequency** measures how often new software versions are deployed to production. This metric directly reflects a team’s ability to deliver continuously. High-performing teams deploy **multiple times a day** , while lower-performing teams deploy weekly or even monthly. A low Deployment Frequency often means teams are hesitant to release changes—usually due to a lack of automated testing, unstable pipelines, or rigid approval processes. **How to optimize?** * Adopt **Continuous Integration and Continuous Deployment (CI/CD)** practices. * Reduce cross-team dependencies to avoid bottlenecks. * Encourage small, frequent deployments instead of massive releases. * Use feature flags to test changes in production without impacting users. * Have an efficient rollback strategy to increase deployment confidence. #### 3. Mean Time to Recovery (MTTR) **Mean Time to Recovery (MTTR)** measures how long it takes for a team to restore service after an incident. The lower the MTTR, the more resilient the team. Elite companies resolve incidents in **under an hour** , while less mature teams can take days. A high MTTR often signals a lack of automation, inefficient incident management processes, or even a poor understanding of production systems. **How to optimize?** * Invest in **monitoring and proactive alerting** to detect issues faster. * Maintain well-documented **playbooks and runbooks** for incident response. * Conduct **blameless post-mortems** to learn from failures and prevent recurrence. * Use **observability practices** to gain deeper insights into system behavior. * Automate rollbacks to reduce recovery time. #### 4. Change Failure Rate **Change Failure Rate** measures the percentage of deployments that result in failures, such as critical bugs or rollbacks. This metric directly reflects code quality and development process maturity. Elite teams keep their failure rate **below 15%**. Less mature teams often see rates above **40%** , meaning changes are being pushed to production without proper validation. **Common causes of a high Change Failure Rate:** * Poor test automation coverage. * Manual and inefficient QA processes. * Lack of observability to detect failures quickly. * Large, complex deployments that are hard to roll back. **How to optimize?** * Improve **automated test coverage** , including unit, integration, and regression tests. * Use feature flags to gradually roll out changes and minimize risk. * Invest in **code review best practices** to catch issues before deployment. * Deploy smaller, more frequent changes to reduce risk. * Leverage canary releases and blue-green deployments to test changes safely. ## Why DORA Metrics Matter for Your Team’s Performance DORA Metrics play a crucial role in assessing the performance of DevOps teams. They provide a clear view of software development and delivery processes, helping you understand where your team stands. ## Conclusion If you want a faster, more efficient engineering team, DORA Metrics are an excellent starting point. They’re not just numbers—they’re a direct reflection of your development process’s maturity. Remember: optimizing one metric in isolation won’t get you far. The key is balancing speed and stability. Track these metrics, refine your processes, and keep optimizing. The result? A more productive team and a more reliable product.

DORA Metrics are live on the Akuity Platform! Track deployment frequency, lead time, failure rates & more—all powered by #ArgoCD and #Kargo.🚀

👉 https://buff.ly/3ZNXv82

Unlock insights to supercharge your team! 💡

#Kubernetes #DevOps #DORAMetrics #GitOps

JuliaLang Repo: Genuine Performance or Mere Hype? Exploring JuliaLang's true performance with Dora Metrics. Insights into deployment frequency, lead time, and more in scientific computing

🚀 New blog!
Is JuliaLang’s performance prowess or just smoke and mirrors?
Find out through DORA metrics in our latest case study.
🔍 Read more: middlewarehq.com/blog/julialang-performance-prowess-or-just-smoke-and-mirrors-dora-metrics-case-study
#DORAMetrics #JuliaLang #DevOps #SoftwarePerformance

React Native CI/CD: Triumphs and Stumbles Explore React Native’s CI/CD journey, highlighting productivity gains, workflow obstacles, and development cycle impacts

🚀 New blog!
React Native’s CI/CD: Cycle time triumphs or stumbles?
We uncover the truth with DORA metrics.
🔍 Read more: middlewarehq.com/blog/react-natives-cicd-unveiled-the-truth-behind-its-cycle-time-triumphs-and-stumbles
#DORAMetrics #ReactNative #CI/CD #DevOps

Swift Deployments: Efficient or Reckless? Explore the efficiency of Swift Repository and the balance between speed and quality in this insightful Dora Metrics case study on the Swiftlang repository

🚀 New blog!
Are Swift deployments really swift or just recklessly rushed?
We break it down with DORA metrics.
🔍 Read more: middlewarehq.com/blog/swift-deployments-are-they-swift-or-recklessly-rushed
#DORAMetrics #Swift #DevOps #SoftwareQuality

Vue.js Case Study: Speedy or Risky? Explore Vue.js Core's speedy merge times, automation strategies, and areas for improvement in this detailed case study with Dora Metrics

Is Vue.js a speed demon or a high-risk gambler?
We dive into DORA metrics to explore fast deployments and risk.
🔍 Read more: middlewarehq.com/blog/vuejs-case-study-dora-metrics-speed-demon-or-just-high-risk-gambler
#DORAMetrics #VueJS #DevOps

Is freeCodeCamp Sacrificing Quality for Speed? Analyzing Dora Metrics How freeCodeCamp’s rapid deployment strategy impacts quality. Dive into their DORA metrics, uncover key findings, and reveal areas for improvement.

Is #freeCodeCamp trading quality for speed with their rapid deployments? 🤔 I took a closer look at how they balance speed and quality using #DoraMetrics, and it's fascinating!

middlewarehq.com/blog/is-free...

#DevOps #DoraMetrics #OpenSource #Tech #Software #Engineering #Frontend #Backend

React Repository Speedy Features & Bug Fix Delay-Dora Metrics Analysis Discover the secrets behind React’s production success, speedy features, bug fixing issues with a deep dive into their DORA metrics.

Ever wondered how React juggles lightning-fast features while fixing bugs? 🤔 We dug into their repo, and it's pretty revealing! Dive in to see how they manage speed vs. stability. #ReactJS #DevLife #OpenSource #DoraMetrics #DevOps

middlewarehq.com/blog/react-r...

Créer un atelier pour faire découvrir les #DORACore avec l'univers de #DoraLExploratrice... Check.

#DevOps #DORA #Agile #Lean #DORAMetrics