OppexOppex
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Use Cases

Application

Errors fire across a hundred interconnected microservices at once. Oppex deduplicates the noise into a single incident, so engineers resolve faster and get back to building.

Service Health
Overall StatusDegraded
88%
High CPU usage on prod-api-0324 similar incidents grouped
High CPU usage on api-node-02
4m ago
Disk space alarm on api-node-02 · 91% used
6m ago
High CPU usage on worker-03
9m ago
High CPU usage on cache-service-1
14m ago
Disk space alarm on log-collector-2 · 89% used
18m ago
High CPU usage on payments-worker-4
21m ago
High CPU usage on api-node-07
26m ago
Disk space alarm on worker-05 · 93% used
30m ago
High CPU usage on api-node-02
4m ago
Disk space alarm on api-node-02 · 91% used
6m ago
High CPU usage on worker-03
9m ago
High CPU usage on cache-service-1
14m ago
Disk space alarm on log-collector-2 · 89% used
18m ago
High CPU usage on payments-worker-4
21m ago
High CPU usage on api-node-07
26m ago
Disk space alarm on worker-05 · 93% used
30m ago
CapillaryCommerceIQFacetsHectorSessionM

Everything your application team needs when production breaks

From the first alert to the final retrospective-Oppex brings everything together so your team can respond, resolve, and learn without friction.

AI Responder

Detect, group, and resolve incidents faster with collaboration and automation.

On-call Management

Flexible schedules, escalations, and handoffs that keep your team covered.

AI Investigation

Ask questions, get answers, and take actions with Claude Code, Codex, and MCP.

Insights & Learning

Track metrics, discover trends, and turn every incident into an opportunity to improve.

Powerful capabilities for modern application teams

Alert correlation

Turn noise into meaningful incidents

Oppex ingests every signal from your monitoring stack, then groups related alerts, deduplicates repeats, and suppresses flapping - so one failure arrives as one incident instead of forty pages.

The use case
"A slow primary database fires 40 alerts across six services in two minutes - latency warnings, queue backups, failed health checks - and the on-call phone will not stop buzzing."
How Oppex helps
Oppex correlates every signal into one incident, attaches the affected services and their dependencies, and suppresses the duplicates that follow. The engineer sees one page, one blast radius, and one place to work — instead of triaging a wall of notifications to find the single failure underneath.
Routing & escalation

Get the right engineer involved instantly

Every incident is matched to the owning service, then routed through that team's escalation policy and live on-call schedule - no manual triage, no guessing who to wake up.

The use case
"Checkout breaks in the middle of a holiday sale. The alert lands in a shared channel, nobody is sure which team owns the payment gateway, and eight minutes disappear into "who should look at this?""
How Oppex helps
Oppex maps the alert to the owning service and pages that team's on-call engineer within seconds, then escalates to the secondary and the team lead if there is no acknowledgement. Routing follows the live schedule, so response never depends on someone happening to be watching Slack.
Scheduling

Go on-call with confidence

Build weekly, follow-the-sun, or custom rotations, layer in holiday coverage, and let engineers swap shifts or set overrides themselves. Handovers carry open work forward automatically.

The use case
"Half the team is out for a long weekend, one engineer is travelling, and the rotation still has to cover a payments platform that cannot go unwatched."
How Oppex helps
Oppex lets engineers set overrides and swap shifts themselves, layers extra coverage onto the holiday, and shows a single view of exactly who is reachable at any hour. Handovers carry open incidents and in-flight work forward, so no shift starts blind and none goes silently uncovered.
Shift prep

Know before your shift starts

Before you go on-call, Oppex assembles a briefing: still-open incidents, what shipped recently, which services are fragile, and the runbooks you're most likely to need.

The use case
"You return from a week off straight into an on-call shift. Two incidents are still open, three services shipped major changes while you were gone, and you have no idea which ones are fragile."
How Oppex helps
Oppex hands you a shift briefing before you go on duty: open incidents and their current state, recent deploys and config changes, the services that paged most last week, and the runbooks tied to them. Your first page is not your first piece of context.
Terminal & AI clients

Debug from where you already work

Pull incident context, logs, timelines, and past resolutions straight into Claude Code, Codex, or your shell over MCP - then acknowledge, comment, and resolve without opening a browser tab.

The use case
"The page arrives while you are already deep in the repo with the failing service open. Reconstructing the same context in a browser dashboard costs minutes you do not have."
How Oppex helps
Oppex exposes incidents to Claude Code, Codex, and your shell over MCP — timeline, logs, related changes, and how the same failure was fixed before. You investigate, comment, and resolve beside the code that caused it, without switching tools mid-outage.
Operational memory

Give AI the context it needs

Oppex maps your services, dependencies, owners, runbooks, and every past incident into one graph - the memory layer your AI assistants query before they answer.

The use case
"Your AI assistant can write code all day, but it does not know which service owns billing, what depends on it, or that this exact timeout was solved in March."
How Oppex helps
Oppex becomes the memory layer: services, dependencies, owners, runbooks, and every resolved incident in one queryable graph. Assistants ground their answers in your real architecture and history, so suggestions read like a teammate's rather than generic advice.
Incident search

Find answers from past incidents

Ask in plain language and get an answer drawn from your own history — what broke, who fixed it, how long it took, and which change caused it.

The use case
"The same checkout error resurfaces six months later. The engineer who fixed it has left the company, and the explanation is buried somewhere in an archived chat thread."
How Oppex helps
Ask Oppex in plain language and it answers from your own incident history — what broke, the root cause, which change triggered it, who resolved it, and how long it took. Tribal knowledge becomes searchable, so the second occurrence takes minutes instead of a fresh investigation.
Response hub

Run the entire response in one place

Acknowledge, reassign, escalate, add notes, run runbooks, and resolve — all from one incident view that records every action with a timestamp and an owner.

The use case
"Response is scattered: acknowledgement in one channel, the ticket in another tool, metrics in a dashboard, and half the reasoning only in one engineer's head."
How Oppex helps
Oppex runs the whole response in one view — acknowledge, reassign, escalate, take notes, run runbooks, resolve — and records each action with its owner and timestamp. Handover becomes a link, and nothing about the incident has to be retold from memory.
Automated remediation

Turn runbooks into actions

Attach runbooks to services and alert types so the right procedure appears with the incident — then execute steps inline and log each one to the timeline as it runs.

The use case
"The fix for a stuck payment queue is documented, but the runbook lives in a wiki page nobody can find at 3am — so the on-call engineer improvises under pressure."
How Oppex helps
Oppex attaches runbooks to services and alert types, surfaces the matching procedure on the incident itself, and lets you execute steps inline while logging each one to the timeline. Remediation becomes a click, and the next responder sees exactly what was already tried.
Stakeholder comms

Keep everyone informed

Post structured updates to Slack, email, and your public status page on a cadence you set — drafted from the incident itself, so responders never stop to write comms.

The use case
"Leadership wants an ETA, support is fielding customer tickets, and the status page is stale — all while the two people who can fix the problem are being pulled into update threads."
How Oppex helps
Oppex drafts structured updates from the incident itself and publishes them to Slack, email, and your public status page on the cadence you set. Stakeholders stay current automatically, and responders stay heads-down on the fix.
Mobile response

Resolve from anywhere

Full-fidelity push alerts with critical-alert override, plus acknowledge, snooze, reassign, and resolve from your phone — with the same context you'd see on desktop.

The use case
"The page lands while you are on a train with no laptop. All you can do is see that something is wrong — not acknowledge it, and not help."
How Oppex helps
Oppex delivers full-context push alerts with critical-alert override, and lets you acknowledge, snooze, reassign, run runbook steps, or resolve from your phone. Response starts in the first minute, wherever you are, with the same detail you would see on desktop.
Incident timeline

Every incident becomes an operational memory

Every alert, action, question, note, and decision is recorded in order and kept — so an incident becomes a reusable record instead of a chat log that scrolls away.

The use case
"Two months after a painful outage, an audit asks what happened. The dashboard has rolled over, the chat history has scrolled away, and accounts differ."
How Oppex helps
Oppex keeps every alert, action, question, note, and decision in an ordered timeline with owners and timestamps. Postmortems, audits, and onboarding read the record instead of reassembling it — and each incident becomes reusable evidence rather than a lost afternoon.
Reliability metrics

Improve the metrics that matter

Track MTTA, MTTR, incident volume, alert noise, and on-call load by service and team — with trends that show whether last quarter's fixes actually worked.

The use case
"Your VP asks whether reliability is actually improving after a quarter of platform work, and the only available answer is "it feels better.""
How Oppex helps
Oppex tracks MTTA, MTTR, incident volume, alert noise, and on-call load by service and team, with trends over any window. You can show which fixes moved the numbers, where load is unfairly distributed, and what to fund next — in data, not anecdote.
Service insights

Know where reliability is breaking down

Drill from the whole estate down to a single component to see where incidents cluster, which services page most often, and which teams carry the heaviest load.

The use case
"Incidents keep arriving at a steady rate, but nobody can say whether the problem is the checkout service, a flaky dependency, or one noisy alert rule."
How Oppex helps
Oppex lets you drill from the whole estate down to a single component: where incidents cluster, which services page most often, which alerts are pure noise, and which teams absorb the impact. Reliability investment goes where the pain actually is.
Postmortems

Learn and prevent repeat incidents

Run blameless postmortems from the recorded timeline, capture root cause and impact, and track corrective actions to completion with owners and due dates.

The use case
"The retrospective produces a sharp set of action items. Three weeks later, two are half-done, nobody owns the rest, and the same incident repeats."
How Oppex helps
Oppex builds the postmortem from the recorded timeline, captures root cause and impact without blame, and tracks every corrective action to closure with an owner and a due date. Follow-ups stay linked to the incident and visible until they ship — so prevention actually lands.

Ship better software with less firefighting.

See how Oppex can help your engineering team spend less time on-call.