Engineering Governance

Computed, not guessed.

DORA and Flow Metrics, calculated straight from what you already sync from Jira, Linear, GitHub and CI/CD — no LLM in the loop, no token bill at the end of the month.

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You don't need AI for this

Deployment counts, lead time, cycle time — these are facts sitting in your Jira, GitHub and CI/CD data already. Running them through a language model adds cost and doubt where neither is needed.

Computed, not generated

Every number on your dashboard comes from a direct calculation over your synced data — not a model's best guess at what the answer might be.

No token costs

One predictable subscription price. You never pay per report, per query, or per seat of AI usage — because there isn't any.

No hallucination risk

A deploy count is a deploy count. There's no inference step that can misremember, round creatively, or make something up.

Fast, always

Metrics render as fast as a database query — not as fast as an API round-trip to a language model.

None of this means AI is bad — it just isn't the right tool for "what's my deployment frequency this month." That's a query, not a guess.

AI-based tool vs. moasy.tech
AI-based tool moasy.tech
Where the number comes from Model inference Direct calculation
Cost Per token/query Flat subscription
Reliability Can hallucinate Same input, same output
Speed API round-trip to a model As fast as a database query

3–6× cheaper than AI

Computing these metrics with an LLM instead of deterministic rules could cost 3 to 6 times more than your moasy.tech subscription — see the full worked estimate for your team size.

Calculate your cost

What you measure here

Four things that today, without this, live scattered across provider dashboards, spreadsheets and whoever happens to be paying close attention.

DORA Metrics, without the manual work

Deployment frequency, lead time for changes, mean time to restore and change failure rate — recalculated automatically from what's already synced from GitHub, GitHub Actions, ArgoCD, Vercel, Azure Pipelines, Waroom and incident.io. Connect more than one CI/CD tool for the same team (say, GitHub Actions and Vercel) and moasy.tech catches the risk of double-counting the same deploy on its own, instead of showing a number that might be wrong. What counts as an incident — and whether it counts as a failure — follows the same team-configurable rules described below, with a company-wide default as fallback. Filter by date range or by team, with a trend line next to every number — and a timeline of manual events and config changes right alongside it, so a dip always has a nearby explanation. Click any number to drill into the individual deploys, PRs or incidents behind it.

moasy.tech DORA Metrics dashboard showing deploys to production, lead time, mean time to restore, change failure rate and a deploys-per-day chart

Illustrative data, for demonstration purposes only.

Flow Metrics per team, category by category

How much got done each week, and how long each category of work takes from start to finish — Bug, Feature, Technical Debt, Toil and Risk, classified by rules you configure yourself. Set a default at the company level, then let each team override it — what counts as Toil for one team can be a Feature for another, and the system adapts instead of forcing one definition on everyone. See the team improving (or not) week over week, not just a snapshot of today. Break the same categories down further by epic — Team → Project → Epic → Item — to see which initiative is actually eating the Toil. Backlog health adds two more numbers: how much of the backlog has gone stale, and how many weeks it represents at your current pace. Click any number to drill into the individual work items behind it.

moasy.tech Flow Metrics for a team: work items in progress, velocity, cycle time and a distribution-by-category chart (Bug, Feature, Risk, Technical Debt, Toil)

Illustrative data, for demonstration purposes only.

Connects to what your team already uses

Nothing to migrate: every integration just reads what already exists in your tools. A single provider can have several integrations — two Jira boards, one per team, for example — and each one shows a run history, so you know exactly when it last synced. Azure DevOps is three independent connectors (Boards, Repos, Pipelines), so you only connect the parts your team actually uses. If a sync goes stale or a credential needs reconnecting, you get an in-app alert right away — you don't find out three weeks later that a dashboard's been running on old data.

  • Jira
  • Linear
  • GitHub
  • GitHub Actions
  • Azure DevOps
  • Vercel
  • ArgoCD
  • Waroom
  • incident.io
moasy.tech integrations screen, grouped by provider: GitHub, Azure DevOps, Jira, Linear, Waroom, ArgoCD, Vercel and incident.io, each with its own logo and connection status

Illustrative data, for demonstration purposes only.

Capacity and toil, not just velocity

Every team profile pairs its roster and monthly capacity with a toil ratio — hours logged as Toil against the capacity available that month, not just a headcount. Drill down further and see the same breakdown per contributor: work items completed by category, pull requests merged and reviewed, deploys triggered (with success rate) and incidents handled — for one person, across every team they touch, not just their primary team. Every number comes with a week-by-week trend, so you see whether the load is easing or piling up, not just where it stands today.

moasy.tech team profile, Contributors tab, showing monthly capacity and a per-contributor breakdown of work items, pull requests merged and reviewed, deploys, incidents and toil hours

Illustrative data, for demonstration purposes only.

Pricing

No feature gating — every plan gets the full product, DORA and Flow Metrics included. What changes is how much room you get: users, teams and integrations.

Free

USD 0/mo

Start now, no credit card required.


  • Up to 5 usersHow many people can have an account on this plan.
  • Up to 1 teamHow many teams you can create — the unit every metric is scoped to.
  • Up to 2 integrationsHow many tool connections (Jira, GitHub, Vercel and more) you can have active at once.
  • 3 months of historyHow far back your synced data is kept before it's purged.
  • DORA MetricsDeployment frequency, lead time, MTTR and change failure rate — computed automatically.
  • Flow MetricsCycle time, WIP, backlog health and where Toil comes from.
  • Integrations (8 providers)Connect Jira, GitHub, Vercel and more — read-only, incremental sync.
  • Capacity & WorkloadTeam roster, monthly capacity and toil ratio — built to spot overload, not rank people.
  • TimelineEvery event and config change, on one chronological feed.
  • Cost ClassificationCapEx vs. OpEx, classified by the same configurable rules as everything else.
  • Activity ReportsWhich epics and people absorbed the most time — not a performance ranking.
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Basic

USD 19.90/mo

30 days free, no credit card required, then USD 19.90/mo.


  • Up to 10 usersHow many people can have an account on this plan.
  • Up to 5 teamsHow many teams you can create — the unit every metric is scoped to.
  • Up to 3 integrationsHow many tool connections (Jira, GitHub, Vercel and more) you can have active at once.
  • 6 months of historyHow far back your synced data is kept before it's purged.
  • DORA MetricsDeployment frequency, lead time, MTTR and change failure rate — computed automatically.
  • Flow MetricsCycle time, WIP, backlog health and where Toil comes from.
  • Integrations (8 providers)Connect Jira, GitHub, Vercel and more — read-only, incremental sync.
  • Capacity & WorkloadTeam roster, monthly capacity and toil ratio — built to spot overload, not rank people.
  • TimelineEvery event and config change, on one chronological feed.
  • Cost ClassificationCapEx vs. OpEx, classified by the same configurable rules as everything else.
  • Activity ReportsWhich epics and people absorbed the most time — not a performance ranking.
Get started

Enterprise

Custom

Talk to us about your team's specific needs.


  • Everything in Pro
  • Custom user, team and integration limits
Talk to Sales

Frequently asked questions

Does connecting an integration change anything in my Jira, Linear or GitHub?

No. Every integration is read-only — moasy.tech only reads what already exists in your tools. Sync runs incrementally, either triggered manually or once a day on its own.

How do items become Bug, Feature, Technical Debt, Toil or Risk?

Through semantic rules you configure yourself — not an automatic label lookup, and not AI. Rules can be set company-wide and overridden per team, since what counts as Toil or a failure can differ from one team to the next.

Can I connect more than one board or repo from the same provider?

Yes. A single provider can have several integrations — two Jira boards, one per team, for example — each syncing and enriching independently.

Do I need a credit card to start a trial?

No, on any plan. The Free plan never touches billing at all. Basic and Pro start with a 30-day trial that doesn't ask for a card either — if you never add one, the trial ends and the subscription cancels on its own, you're never charged without a card on file. You'll get an in-app heads-up about 3 days before the trial ends either way, in case you want to add a card to keep going.

What happens if I hit my plan's user, team or integration limit?

Nothing breaks silently. Adding another one past the limit is blocked with a clear error, and you get an in-app alert either way — every plan gets the same product, the limit is just how much room you have.

If I cancel a paid plan, do I lose access immediately?

No. Cancellation is scheduled, not immediate — you keep access until the end of the period you already paid for.

What happens if I get an integration credential wrong?

We validate every credential against the provider before saving it. A bad token fails clearly, on the spot — it never gets saved and silently breaks a sync later.

Which accounts can I sign in with?

GitHub, Google, Microsoft or Slack — pick whichever your team already uses, no separate password to create or remember.

Can other teams see each other's data?

No. Every tenant's data is isolated — there's no cross-tenant visibility.

What if I connect two CI/CD tools to the same team?

You won't get a silently doubled number. If a team has, say, both GitHub Actions and Vercel connected with production deploys registered, moasy.tech detects that the same deploy might be counted twice and shows deployment frequency as unavailable until you pick which provider counts — a one-time config, not a recurring cleanup.

Ready to see your team's real numbers?

Get started free

Sign in with GitHub, Google, Microsoft or Slack.

moasy.tech DORA Metrics dashboard showing deploys to production, lead time, mean time to restore, change failure rate and a deploys-per-day chart moasy.tech Flow Metrics for a team: work items in progress, velocity, cycle time and a distribution-by-category chart (Bug, Feature, Risk, Technical Debt, Toil) moasy.tech integrations screen, grouped by provider: GitHub, Azure DevOps, Jira, Linear, Waroom, ArgoCD, Vercel and incident.io, each with its own logo and connection status moasy.tech team profile, Contributors tab, showing monthly capacity and a per-contributor breakdown of work items, pull requests merged and reviewed, deploys, incidents and toil hours