Built for engineers
and the people who lead them
Maelir started from a simple frustration: the data to understand how well an engineering team is delivering already exists — in GitHub, in your CI pipelines, in your incident tracker. But turning that data into something useful — for developers and leaders alike — takes more effort than most teams can justify.
Why Maelir exists
The problems we set out to fix
We didn’t build Maelir to add another dashboard to your stack. We built it because these four problems kept coming up in every engineering organisation we’d worked in.
The setup problem
Most teams know DORA metrics exist. Few actually track them. Not because they don't want to — because wiring up the instrumentation across GitHub, AWS, and Jira is weeks of work that never quite makes it onto the sprint.
The gut-feel problem
Engineering leaders make high-stakes decisions — resourcing, process changes, team restructures — based mostly on instinct. The data exists in your tooling, but it's scattered, raw, and hard to act on.
The developer blindspot
Developers are the ones shipping the work, but they're usually the last to see the data. Lead times, review patterns, deployment frequency — this information sits in management dashboards that most engineers never open. We think that's backwards.
The conversation problem
Developers and engineering managers often have very different views of how the team is performing. Health checks bridge that gap — giving teams a structured way to surface friction before it becomes a crisis.
Our approach
Connect once.
Understand continuously.
Maelir connects to the tools you already use — GitHub for pull requests and deployments, AWS for pipeline and ECS data, Jira for issue lifecycle and incidents. No instrumentation scripts. No data pipelines. No manual entry.
Once connected, the four DORA metrics update automatically. Team scorecards give every engineering leader a RAG status they can act on. And weekly health check surveys surface the human side of delivery — the signals that the metrics alone can’t capture.
The DORA research finding
“Elite performers deploy 973× more frequently and recover from incidents 6,570× faster than low performers.”
— State of DevOps Report, DORA Research
The gap between high and low performing engineering teams is not primarily about talent — it’s about feedback loops, process clarity, and psychological safety. Maelir helps you measure all three.
What we believe
These principles shape every product decision we make.
Outcomes over activity
The number of tickets closed or lines of code written tells you very little about whether your team is improving. We focus on the metrics that correlate with real outcomes — stability, speed, and recovery time.
Built for both sides of the table
Most engineering tools are built for managers to inspect their teams. We think developers deserve the same visibility into their own pace. Maelir gives everyone a view — developers see their patterns, leaders see the organisational picture.
Evidence-backed decisions
Engineering leaders carry a lot of intuition built from years of experience. The best decisions pair that intuition with data. We make it easy to surface that evidence without manual work or data engineering.
Sustainable pace matters
Burnt-out teams ship slowly and break things more often. Weekly team health checks give developers a voice and give leaders an early-warning signal before pace becomes a problem.
Who we are
Built from the inside out
Maelir is built by engineering leaders who have spent years on both sides of the problem — leading teams that needed better visibility, and building the tooling to create it. We’ve felt the frustration of presenting delivery metrics to the business based on gut feel, and the embarrassment when the gut was wrong.
We’re a small, focused team. We’re building the product we always wished existed — and we talk to engineering leaders constantly to make sure we’re solving the right problems. If you’re working in this space and want to share your experience, we genuinely want to hear it.