OppexOppex

Data team

Oppex helps data teams monitor pipelines, models and data quality — so you can ensure reliability and deliver trusted data at scale.

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Data Pipeline Health
Overall StatusDegraded
71%
Success Rate
Source
23 systems
Ingest
412K rows
Validate
412K rows
Transform
Errors detected
Load
—
Warehouse
—
Failed Jobs(last 6 hours)
08:0009:0010:0011:0012:0013:0014:00
Transform stage failure — orders pipeline12 similar incidents grouped
Transform stage failure — orders pipeline
2m ago
Schema drift on users.email — nullable changed
5m ago
Freshness SLA breach — sessions table 8h 42m
8m ago
Ingestion job failed — customer-events
12m ago
Row count anomaly — revenue down 38%
17m ago
Warehouse load timeout — product_catalog
22m ago
dbt model error — fct_orders downstream
27m ago
Pipeline stuck — payment reconciliation
31m ago
Transform stage failure — orders pipeline
2m ago
Schema drift on users.email — nullable changed
5m ago
Freshness SLA breach — sessions table 8h 42m
8m ago
Ingestion job failed — customer-events
12m ago
Row count anomaly — revenue down 38%
17m ago
Warehouse load timeout — product_catalog
22m ago
dbt model error — fct_orders downstream
27m ago
Pipeline stuck — payment reconciliation
31m 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 data teams

Pipeline incident detection

Know when critical data stops moving

Bring operational signals around critical data services into a single incident response workflow so failures don't remain invisible until someone notices bad data.

The use case
"An overnight transformation job fails at 2 AM. By morning, executive dashboards contain yesterday's numbers and several downstream reports are already incorrect."
How Oppex helps
Oppex turns the failure into an actionable incident, associates it with the responsible service and routes it to the appropriate responder. The team starts working on the failure when it happens instead of discovering it through a stakeholder.
Alert correlation

Turn cascading data failures into one incident

Group related failures so one upstream problem doesn't create dozens of independent incidents across downstream systems.

The use case
"An ingestion pipeline fails and triggers alerts from transformations, warehouse jobs and downstream services. The team receives 25 alerts even though they all originate from one failure."
How Oppex helps
Oppex correlates related signals and suppresses duplicates, giving responders one incident to investigate. Teams focus on the originating failure rather than spending time triaging every downstream symptom.
Ownership & routing

Get the right data owner involved immediately

Connect data services to their owners and automatically route incidents through the correct on-call schedule and escalation policy.

The use case
"A customer-events pipeline fails, but nobody knows whether ingestion, analytics engineering or the application team owns the affected component."
How Oppex helps
Oppex maps the incident to its service ownership and pages the active responder automatically. Escalation continues if necessary, eliminating manual searches for the person who understands the pipeline.
Impact awareness

Understand what a data failure puts at risk

Give responders enough operational context to understand which services and teams are affected by an incident.

The use case
"A transformation fails. It initially looks low priority, but the resulting dataset feeds revenue reporting, customer segmentation and a downstream operational workflow."
How Oppex helps
Oppex connects the incident with its service context and related operational information, helping responders understand that the failure is more significant than a single failed job and prioritize the response accordingly.
Data on-call

Keep business-critical data workflows covered

Create schedules and escalation policies for data services that cannot wait until the next business day.

The use case
"A payment reconciliation pipeline fails overnight. The engineer who normally owns it is unavailable and the team loses valuable time finding someone who can respond."
How Oppex helps
Oppex routes the incident through the live data-team schedule and automatically escalates when necessary. Overrides and coverage changes ensure the current responder—not a static contact list—is always notified.
AI incident search

Ask how your team solved it last time

Turn previous incidents into searchable operational knowledge instead of leaving answers buried in old conversations.

The use case
"A warehouse loading issue appears again after four months. Everyone remembers seeing it before, but nobody remembers the root cause or how it was resolved."
How Oppex helps
Engineers can query Oppex for similar historical incidents and retrieve relevant resolution context. Previous operational experience becomes reusable knowledge rather than tribal memory.
AI & MCP workflows

Investigate without leaving your development workflow

Bring incident context closer to the terminals and AI tools data engineers already use.

The use case
"A data engineer is debugging transformation code in Claude Code when a related production incident appears. Investigating requires jumping between the incident system and development environment."
How Oppex helps
Through MCP, Oppex makes relevant incident context available to supported AI development workflows, helping engineers investigate and take incident actions without constantly changing tools.
Recurring failure analysis

Find the pipelines that keep breaking

Use incident history to identify services that repeatedly create operational work.

The use case
"A transformation pipeline fails every few weeks. Each incident gets resolved individually, so nobody realizes how much engineering time the same pipeline consumes over a quarter."
How Oppex helps
Oppex lets teams analyze incidents by service and over time, making recurring operational patterns visible. Teams can move from repeatedly recovering the pipeline to prioritizing the underlying reliability problem.
Runbook automation

Make common recovery paths repeatable

Connect operational procedures to the services and incidents where engineers actually need them.

The use case
"A failed ingestion job requires five known recovery steps, but each responder performs them differently and important validation is occasionally missed."
How Oppex helps
Oppex surfaces the relevant runbook during the incident so responders follow a consistent recovery process. Actions remain connected to the incident timeline, making response easier to understand and repeat.
Cross-team response

Keep ownership clear when data incidents cross team boundaries

Coordinate incidents that begin in data but depend on application, platform or infrastructure teams to resolve.

The use case
"A pipeline begins dropping events, but investigation shows the actual failure is in the application service producing them. Data and Engineering start troubleshooting in separate channels."
How Oppex helps
Oppex keeps the incident context intact as ownership changes or additional responders are brought in. Reassignment, escalation, notes and actions stay connected to the same incident instead of fragmenting across teams.
Incident timeline

Preserve exactly what happened

Maintain a chronological record of alerts, responders, actions and resolution so complex data incidents don't disappear into chat history.

The use case
"A critical data incident involved retries, pipeline changes and multiple teams. Weeks later, nobody can reconstruct which action actually restored the data."
How Oppex helps
Oppex records incident activity with timestamps and ownership, creating a durable timeline that teams can use for postmortems, audits and future investigations.
Data reliability insights

Measure the operational health behind your data platform

Go beyond whether jobs succeeded and understand how much incident response effort your data services generate.

The use case
"Pipeline success rates look healthy, yet the Data team feels permanently overloaded by production issues. Leadership has no clear way to see where that operational burden originates."
How Oppex helps
Oppex surfaces incident volume, MTTA, MTTR, alert noise and on-call load across services and teams, helping Data leaders identify the systems creating disproportionate operational effort.
Service drill-down

Know exactly where data reliability is breaking down

Move from organization-level reliability metrics down to the services generating incidents.

The use case
"The data platform has 60 pipelines and overall incident volume is rising. The team can't tell whether failures are broadly distributed or concentrated around a few fragile services."
How Oppex helps
Oppex lets teams drill into incident patterns by service and team to see where failures cluster and where reliability investment can have the greatest impact.
Operational memory

Keep critical data knowledge inside the team

Preserve how incidents were investigated and resolved so operational knowledge doesn't depend on specific individuals.

The use case
"Only one senior data engineer knows how a critical reconciliation workflow behaves during failure, making every incident dependent on that person's availability."
How Oppex helps
Oppex retains incident history, actions and resolution context as searchable operational memory. Future responders can build on what the team already learned rather than depending entirely on tribal knowledge.
Continuous improvement

Stop fixing the same data incident twice

Turn significant failures into concrete reliability improvements instead of simply closing the incident.

The use case
"A pipeline is restored after an outage, but the follow-up work gets lost among other priorities. Six weeks later, exactly the same failure happens again."
How Oppex helps
Oppex preserves the incident timeline and resolution context for retrospective analysis and follow-up. Teams can identify recurring issues, capture corrective work and use incident history to determine whether the same problems continue to return.

Keep your models trustworthy.

See how Oppex can help your data team stay ahead of pipeline and model failures.

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