SQL & SSIS failure response
Automated Incident Management
From failed job to actionable ticket — automatically.
When a SQL or SSIS job fails, the failure is detected, the execution analysed and the error captured. A Jira ticket is raised with the diagnostics attached, and the responsible team is notified.
Failure detected02:14:07
SSIS_Stg_CRM_Account · step “Load Account”
Execution analysed02:14:09
Runtime 1m 12s · 0 of 96,410 rows committed
Error captured02:14:10
Violation of PRIMARY KEY constraint 'PK_stg_Account'
Jira ticket created02:14:12
DATA-1287 · Priority High · Data Platform
Team notified02:14:13
Data Platform on-call · with ticket link
SSIS_Stg_CRM_Account failed — PK violation on stg.Account
- Assignee
- Data Platform
- Source
- Automated
Diagnostics attached
- execution_log.txt
- error_detail.json
- row_counts.csv
- downstream_impact.txt
The problem
A job fails. Someone notices, digs through logs, copies an error into a ticket and chases the right team. Every step is manual, and every step is delay.
Questions Incident Automation answers
- How long does it take from failure to someone starting work on it?
- Which jobs fail most often, and why?
- Are incidents reaching the team that owns the affected data?
- Which failures were caused by the same upstream issue?
Capabilities
What Incident Automation does
- 01
Failure detection
Failed SQL Agent jobs and SSIS executions are picked up as they happen — not at the next manual check.
- 02
Execution analysis
The failing step, error message, runtime and record counts are captured automatically.
- 03
Jira ticket generation
A ticket is created with diagnostics attached, routed to the right project and priority.
- 04
Team notification
The responsible team is notified with context, so resolution starts with information, not investigation.
See Incident Automation against your own environment.
We'll walk through how it maps to your systems, what setup involves and what you'd see in the first weeks.