Bringing DORA metrics into Flow brings the best of both worlds together. Pairing the research-backed DORA metrics with the actionable insights of Flow gives engineering leaders the data they need to advocate for their teams and ultimately help them deliver higher-quality and more reliable products faster.
Implement DORA for DevOps success
Utilize Flow metrics and DORA metrics and benchmarks side-by-side to reduce developer friction and accelerate delivery.
UPLEVEL YOUR DORA MEASUREMENT
Typical DORA measurement tools are difficult to maintain and hard to action. Flow solves for this.
Simple, team-level configuration
Flow was built for the enterprise--which means it works at scale. Simple configuration tools allow individual teams to tune their DORA metrics to match their unique workflows so leaders and teams can rely on the data.
Utilizes the power of git tags
Flow implements DORA metrics with lightweight signals like git tags and team-level ticket filters that won’t require you to re-write workflows or maintain (and troubleshoot) disparate data sources.
Drilldown capabilities to identify root cause
KPI’s are great for board meetings, but not much else. Arm your engineering and DevOps team with the ability to drill-into your DORA metrics like deployment frequency or mean time to restore service (aka MTTR) so you can identify where you have friction in your workflow.
Actionable indicators, not just lagging metrics
By pairing your DORA benchmarks with key leading indicators from your code, review, and ticket data you’ll be able to make game-time adjustments and end up right where you wanted to.
INDUSTRY STANDARDS + ACTIONABLE INSIGHTS
Benchmark and improve with Flow and DORA
Lead time for changes
Lead time for changes is the difference between the date and time of the author's commit and the date and time of the deployment containing that commit.
Leverage lead time for changes to identify and remove bottlenecks and inefficiencies that are creating operational drag for your team.
Lead time for changes
Measure the time it takes to go from first commit to production and get insight into where your workflow is holding your team up.
Leverage lead time for changes to identify and remove bottlenecks and inefficiencies that are creating operational drag for your team.
Deployment frequency
See how often your team is deploying code to production. Quantify the impact your process and tooling changes have on your team.
See how initiatives like testing automation, better CI/CD practices, and DevOps automation tools improve your ability to deliver customer value.
Time to restore service
Time to restore service (aka mean time to recovery) is an average of the time it takes your team to recover from a system or product failure to becoming fully operational again.
Using time to restore service your team can identify policies and procedures that mitigate downtime and ensure speedy recoveries when the unfortunate happens.
Mean time to restore service
Time to restore service (aka mean time to recovery) is an average of the time it takes your team to recover from a system or product failure to becoming fully operational again.
Using time to restore service your team can identify policies and procedures that mitigate downtime and ensure speedy recoveries when the unfortunate happens.
Change failure rate
Change failure rate records how often your teams are deploying changes that result in incidents and failures. Flow allows you to completely configure change failure rate so you can isolate the types of incidents that matter.
Leverage your change failure rate to identify if there’s more automated testing you can incorporate to ensure that you move faster without sacrificing stability.
Let’s start talking about how Pluralsight Flow can help you
Whether you’re trying to accelerate delivery, improve your team’s collaboration and mentoring, or better see how leadership decisions impact your team’s processes, Flow is here to help. Our Flow experts can meet your individual needs and help you tailor Flow to your strategy.
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Flow & DORA
Frequently asked questions
What are DORA metrics?
For seven years Google’s DevOps Research and Assessment team has published ongoing research to identify what levers leaders can pull to help their DevOps and engineering teams to produce more reliable software quicker. These annual reports have resulted in four metrics, referred to as DORA Metrics:
Lead time for changes
Deployment frequency
Time to restore service
Change failure rate
How to improve lead time for changes?
Consider incorporating a tighter testing cycle or automated testing. Pair lead time for changes with other collaboration metrics within Flow to identify if there are any review-based bottlenecks.
How to improve deployment frequency?
Consider building a stronger deployment pipeline or investing in testing automation to reduce deployment friction.
If you already have testing automation in place, ensure that your team is focusing on smaller, more frequent deployments to more easily review, deploy, changes while also minimizing the blast radius of post-deployment failures.
How to improve time to restore services?
Ensure your team is taking full advantage of rollback procedures to avoid the dreaded night and weekend pages to fix an emergency outage.
Integrate feature flags and implement the ability to toggle the feature on for different groups of users at a time. This will help your team minimize the number of incidents and the time to resolve.
How to improve mean time to recovery?
Ensure your team is taking full advantage of rollback procedures to avoid the dreaded night and weekend pages to fix an emergency outage.
Integrate feature flags and implement the ability to toggle the feature on for different groups of users at a time. This will help your team minimize the number of incidents and the time to resolve.
How to improve change failure rate?
Consider integrating build verification tests, or other automated tests to help your team quickly and efficiently identify issues.
Review the PR review metrics within Flow to ensure the right team members are reviewing code before it is deployed.