Mirai watches every signal your stack already produces, collapses the noise into real incidents, and investigates them the way your best engineer would — then hands you a root cause with the evidence attached, and a fix it will not run until you say so.
Reads your telemetry. Writes nothing to production without an approval.
It fails because the signal is buried, the context lives in six tools and three people's heads, and the clock starts at 3am. Every minute spent reconstructing what happened is a minute not spent fixing it.
Most of what a monitor emits is a duplicate, a symptom of something already known, or a threshold nobody has revisited in two years. Humans pay the interrupt cost anyway.
The bulk of an incident is archaeology — pulling dashboards, diffing deploys, hunting the trace. The actual remediation is often a one-line revert.
Pager fatigue is the quiet attrition tax on every platform team. The people who hold the most context are the ones who get woken up the most.
Figures reflect widely reported industry patterns in site reliability engineering, not measurements from a specific customer.
Mirai is not a summarizer bolted onto your alert feed. It reasons over your topology, your change history and your past incidents — and it is auditable at every step.
Deduplicates, groups and time-aligns alerts across every source into one incident with one owner — so forty pages become one, and the cause outranks the symptom.
Ranks hypotheses, then tests them — querying metrics, traces, logs, the change feed and your incident archive in parallel, and discarding what the data doesn't support.
Every claim links to the artefact that supports it — the diff, the metric series, the trace, the precedent. Ruled-out hypotheses ship with the verdict, so you can check the reasoning instead of trusting it.
Drafts the actual change — a PR, a rollback, a scale action — with blast radius, reversibility and change-window checks computed before a human is ever asked to approve it.
Turns the procedure living in a wiki page or a senior engineer's memory into a versioned, parameterised runbook Mirai can propose, run and report on.
Burn-rate alerting that pages on user-visible harm rather than CPU graphs, with budget accounting that tells you when to ship and when to stop.
Point Mirai at your observability stack, your repos and your incident tool using scoped, read-only credentials. No agents on your hosts.
It builds a live service and dependency graph, ingests your change feed, and reads your closed incidents to learn how this estate actually fails.
Every alert gets a full investigation — not just the ones a human has time for. Most close silently; the ones that matter arrive with a root cause already attached.
You define what Mirai may do, where, and who signs off. Autonomy widens per failure class only after that class has proven itself.
Four views that carry an incident from noise to resolution.
Forty downstream alerts collapse into a single SEV1 with one owner. The root cause, its confidence, the signals that support it and the ones Mirai ruled out are on the first screen — alongside the fix it has already drafted. One human was paged instead of four.
Cause to business impact, reconstructed from traces, metric series and change events — with each link backed by a citation you can open. The ruled-out hypotheses are published too, because a root cause you can't falsify isn't an answer.
The full funnel from raw signal to human page, per week and per monitor — plus the monitors that have never once preceded a real incident, with a recommendation to demote them. Reliability work you can put in front of a board.
The exact diff, the guardrails that passed, the policy that requires your signature, and an immutable audit line for every action taken. Destructive classes — schema, IAM, data deletion — are never delegable, in any environment.
Screenshots show a reference environment with representative data.
The honest state of this field in 2026 is that fully autonomous production operations aren't trustworthy yet — and vendors who claim otherwise are selling you their risk. Mirai earns scope one failure class at a time, and every widening is a decision you make, log and can revoke.
Mirai SRE's engineering practice takes on the reliability programme itself — for teams modernising a hybrid estate, standing up SRE for the first time, or trying to make an observability spend actually pay for itself.
Talk to an engineerSend us an incident you've already closed. We'll connect Mirai read-only, let it investigate from scratch, and show you what it found against what actually happened.
Prefer email? ratna@miraisre.com