What This Solves
Your SAP batch jobs fail at 3 AM and nobody knows until the business complains about missing data. SM37 shows failures, but nobody's watching it continuously. When jobs fail, your team scrambles to figure out what happened and what's impacted. It's reactive firefighting instead of proactive operations.
Proven Results
90%
reduction in mean time to detect job failures
4-8 weeks
to implement comprehensive SM37 monitoring
Zero
missed critical job failures post-implementation
How It Works
Week 1-2: We inventory all SAP background jobs, categorize by criticality, and document job chains and dependencies.
Week 3-4: We configure automated SM37 monitoring with intelligent filtering—separating expected warnings from actual failures.
Week 5-6: We establish alerting integration with your ticketing system. Critical job failures create incidents automatically.
Week 7-8: We build dashboards showing job health trends and create runbooks for common failure scenarios.
Framework Integration
Job status is visible to all stakeholders in real-time. Batch processing health is transparent—the business knows what's running and what's not.
Learn more about OpenBookWhy Allari
We've implemented SAP job monitoring across complex landscapes with thousands of scheduled jobs. We know how to filter SM37 noise to surface the failures that actually matter.
Best suited for: SAP organizations discovering job failures from business complaints rather than proactive monitoring
Why It Matters
This service directly impacts execution capacity by reducing unplanned work, eliminating low-value patterns, and freeing senior staff to focus on roadmap execution instead of operational firefighting.
What You Get
Time to Value
Implementation Time
4-8 weeks
SLA Response
Tier 2: 30-minute response
Effort Model
Structured improvement program with milestones
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