How it works

From chaos to documented,
repeatable incident response.

ShieldSet's AI turns your pipeline context, stack knowledge, and incident history into production-ready runbooks — in minutes, not sprints.

01

Describe your pipeline

Tell the AI about your stack in plain language. Paste in a DAG config, an error log, a Slack thread — or just describe it the way you'd explain it to a new hire on their first week.

Works with Airflow, dbt, Spark, Snowflake, BigQuery, Redshift, Databricks, Kafka, and more. No integration setup required to get started.

You can also upload existing documentation — even rough notes — and ShieldSet will structure it into a proper runbook format.

02

AI generates your runbook

In under a minute, ShieldSet produces a complete, structured incident guide — not a vague wiki page, but a decision tree any engineer can follow without needing additional context.

Every generated runbook includes Priority Level (P0 through P3), Impact Scope, Fault Finder diagnostics, Fix Playbook for each failure mode, Escalation Path timing rules, and an Incident Debrief template.

The AI draws on patterns from thousands of real data engineering incidents to anticipate failure modes specific to your stack.

03

Customize and enrich

Edit the generated runbook to match your team's specific environment. Add your escalation contacts, stack-specific nuances, internal tool links, and the tribal knowledge that only exists inside your org.

Version history tracks every change. You can see who updated a runbook, when, and why — so the document evolves without losing its past.

Post-incident, the platform prompts you to update the relevant runbook so institutional knowledge compounds over time, not decays.

04

Use it at 2 AM

Every runbook lives in a centralized, searchable library — accessible to anyone on your team, from any device, at any hour. No Slack archaeology. No waking someone up.

Runbooks can be linked directly from PagerDuty alerts or Slack incident channels so the path from alert to resolution is a single click.

A junior engineer on their third week should be able to resolve a P0 incident using only the runbook. If they can't, the runbook is incomplete — ShieldSet helps you close those gaps.

Escalation framework

Who gets paged,
and when.

A runbook without clear escalation rules is just documentation. ShieldSet builds time-bound, severity-based escalation paths directly into every runbook.

Escalation timeline

0–15 min
On-call engineer runs the Fault Finder. If the issue matches a known pattern, follow the Fix Playbook.
15–30 min
If root cause unidentified, escalate to pipeline owner. On-call should have Impact Scope documented and shared in the incident channel.
30–60 min
Escalate to platform or infrastructure team. Issue is likely environmental — infrastructure, permissions, or third-party dependency.
60+ min
Engage engineering leadership. Notify stakeholders with estimated time to resolution and any available workarounds.

Severity levels

P0
Critical. Revenue-impacting or customer-facing data is stale or incorrect. Auto-page on-call and team lead immediately.
P1
High. Internal SLA breach, executive dashboard affected. Page on-call within 30 minutes.
P2
Medium. Non-critical pipeline delayed, no SLA breach yet. Slack notification to team channel within 2 hours.
P3
Low. Experimental or deprecated pipeline, no active consumers. Ticket created for next business day.
Stack compatibility

Works with the tools
your team already uses.

Airflow
Orchestration
dbt
Transformation
Snowflake
Warehouse
BigQuery
Warehouse
Spark
Processing
Databricks
Lakehouse
Kafka
Streaming
Redshift
Warehouse

“Any engineer — on their third week — should be able to resolve a P0 using only the runbook.”

Start building runbooksSee pricing and free plan →