OppexOppex

DevOps

Oppex helps DevOps teams cut through pipeline noise, catch failing deploys and infra drift in seconds, and ship to production with speed and confidence.

CPU Usage
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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
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High CPU usage on worker-03
9m ago
High CPU usage on cache-service-1
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Disk space alarm on log-collector-2 · 89% used
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High CPU usage on payments-worker-4
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High CPU usage on api-node-07
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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 DevOps teams

Alert correlation

Turn infrastructure noise into incidents that matter

Oppex brings signals from across your monitoring and infrastructure stack together, grouping related alerts and suppressing duplicates so DevOps teams can focus on the underlying failure.

The use case
"A Kubernetes node becomes unhealthy and suddenly triggers CPU, memory, pod restart, latency and downstream service alerts. The on-call engineer receives dozens of notifications for what is actually one infrastructure problem."
How Oppex helps
Oppex correlates the related signals into a single incident, connects the affected services and removes duplicate noise. Instead of investigating individual alerts, the responder sees one incident with the context and blast radius needed to start troubleshooting immediately.
Service ownership & routing

Get infrastructure failures to the right owner instantly

Oppex maps every alert to the owning service and team, then routes it through the live on-call schedule and escalation policy — so nothing waits in a shared channel for someone to claim it.

The use case
"A production database starts rejecting connections. Multiple application teams are affected, but nobody in the shared incident channel knows whether the database belongs to Platform, DevOps or the application team."
How Oppex helps
Oppex identifies the affected service, finds its owner and pages the engineer currently responsible for it. If they don't acknowledge, escalation continues automatically—removing the manual "who owns this?" step from incident response.
Dependency awareness

See the blast radius before you start fixing

Oppex surfaces how services connect, so a single failing dependency is never mistaken for a dozen independent problems — and the right team is focused on the root cause, not the symptoms.

The use case
"A Redis cluster begins failing. Checkout is reporting latency, notifications are delayed and another API is returning errors. Responders initially treat them as separate problems."
How Oppex helps
Oppex brings the related incidents and service context together so responders can see that multiple symptoms point to the same underlying dependency. Teams investigate the shared failure rather than troubleshooting every affected service independently.
On-call management

Keep critical infrastructure covered around the clock

Build rotations that match how your team actually works — across shifts, time zones, and coverage gaps — with overrides and swaps that update the live schedule instantly.

The use case
"Two engineers are on leave during a long weekend and another swaps shifts at the last minute. A production incident occurs overnight, but the existing rotation still points to someone unavailable."
How Oppex helps
Oppex keeps the live schedule updated with overrides, shift swaps and additional coverage. Incidents always follow the active rotation, giving teams a clear view of who owns production at any moment.
Shift intelligence

Know what you're walking into before your shift starts

Before going on-call, engineers get a briefing covering open incidents, recent changes, fragile services, and the runbooks most likely to be needed — so no shift starts blind.

The use case
"An engineer starts Monday's on-call rotation after being away for a week. Several infrastructure incidents occurred, one database remains unstable and a critical service has paged repeatedly."
How Oppex helps
Oppex brings the relevant operational context together before the shift begins—open incidents, recent activity, frequently affected services and previous resolutions—so the incoming engineer doesn't start on-call blind.
AI-assisted investigation

Investigate production from where you already work

Pull incident context, timelines, logs, and past resolutions into Claude Code, Codex, or your shell over MCP — then acknowledge, comment, and resolve without switching tools.

The use case
"An engineer is already inside the repository investigating a failing service when an incident fires. They now need to leave their terminal and reconstruct the problem across several dashboards."
How Oppex helps
Oppex makes incident context and actions available through MCP. Engineers can ask about the active incident, inspect its timeline and historical context, and take supported incident actions from their existing AI development workflow.
Operational memory

Give every responder the context of your most experienced engineer

Oppex maps services, dependencies, owners, runbooks, and every resolved incident into one searchable graph — so the second occurrence of any failure takes minutes, not a fresh investigation.

The use case
"A database connection problem returns six months later. The engineer who solved it previously has left, and the original fix is buried somewhere in an old incident thread."
How Oppex helps
Oppex keeps previous incidents and their resolution context searchable. Responders—and connected AI workflows—can find how similar failures were handled before instead of beginning the investigation from scratch.
Automated remediation

Turn repetitive fixes into actions

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

The use case
"A queue is stuck at 3 AM. The team has solved it before by validating the workers, clearing a backlog and restarting a service—but the procedure lives in a wiki nobody remembers."
How Oppex helps
Oppex associates runbooks with relevant services and incident types and surfaces them during response. Steps can be followed in context, with actions captured in the incident timeline so responders know what has already been attempted.
Incident coordination

Run the entire production 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
"During a SEV-1, acknowledgement happens in one tool, investigation in Slack, metrics in dashboards and decisions inside a call. Nobody has the complete picture."
How Oppex helps
Oppex provides a central incident record where teams coordinate the response while preserving actions, owners and timestamps. Anyone joining midway can understand what's happening without asking responders to retell the incident.
Reliability insights

Find the infrastructure creating the most operational pain

Track MTTA, MTTR, incident volume, alert noise, and on-call load by service and team — with trends that show where reliability investment actually pays off.

The use case
"Leadership knows the DevOps team is spending too much time firefighting but can't determine whether Kubernetes, databases, networking or a particular service is responsible."
How Oppex helps
Oppex lets teams analyze incident volume, MTTA, MTTR, alert noise and operational load by service and team. DevOps can identify where reliability investment will remove the greatest amount of operational toil.

Ship deploys with confidence.

See how Oppex can help your DevOps team catch issues before customers do.