[ Multi-dimensional and SQL-level Database Observability
PROBLEMS WE SOLVE
- Slow queries or spike in SQL execution time impacting application user experience.
- Connection issue or SQL defect causing latency peaks.
- Complex cross-domain calls with limited visibility
- Unidentified database errors, lock or latching delays reducing throughput.
OUTCOMES
1
Reduced SQL-level latency by 40 %.
2
Mean Time to Resolution (MTTR) for database-related application outages reduced from hours to under 15 minutes.
3
Gain near-real-time (1-minute) awareness capability of database performance issues.
CORE CAPABILITIES
Real-time SQL level metrics & hotspot identification.
Full application → database call-chain tracing and visualisation.
AI-driven anomaly detection in database performance, locks, latches and resources.
Historical comparison and drift-analysis of database performance after changes.
Restful API & export of database KPI for BI/analytics and compliance reporting
Unified view of database, application and network for cross-domain RCA.
USE CASES
Peak-hour Payment Batch Delay
What happened: Night-time payment batch slowed due to top-SQL changes after schema update.
Outcome: Netis identified the new query as long-running, reported slow SQL statements; team rolled back change and batch completed 25 % faster.
Mobile Banking Timeout Surge
What happened: Mobile login failures increased; users timed out at application layer but DBA metrics looked normal.
Outcome: Netis traced calls into DB, found contention on index rebuild; fix restored success rate to 99.8 %.
Branchless ATM Settlement Lag
What happened: ATM settlement lag flagged; root cause unclear between network/DB/app.
Outcome: Netis unified path view pinpointed database issued return code; software upgrade avoided further business impact.
Mini architecture
- Capture → Analyse → Remediate
- App-to-DB Path Map
- AI-RCA Engine
ASSETS



Architecture/flow
