In today’s complex data environments, ensuring optimal database performance directly impacts business outcomes. The ScienceLogic AI Platform delivers unified observability and intelligent automation across your entire database ecosystem including Oracle, MySQL, SQL Server, IBM Db2 and more empowering your teams to prevent issues proactively, accelerate root cause analysis, and ensure service continuity.
ScienceLogic SL1 eliminates database blind spots by providing actionable insights from instance to query level, with out of the box support for diverse environments including hybrid, multi-tenant, and clustered architectures. Whether you’re optimizing performance and resources, managing compliance, or reducing mean time to repair (MTTR), our comprehensive database monitoring helps you drive better business results, faster.
See ScienceLogic SL1 in Action
Proactive Performance Monitoring & Dynamic Discovery
SL1 automatically discovers and models every component in your database landscape from containerized Oracle pluggable databases (PDBs) and clustered SQL Server nodes to individual MySQL or Db2 instances. Monitor over 900 out of the box metrics across platforms:
- Query throughput and response times
- Tablespace usage, index fragmentation, and connection health
- I/O latency, slow query logs, and cache behavior
- High availability cluster roles and replication health
This granular visibility enables you to pinpoint issues before they impact performance, while intelligent thresholds ensure you receive alerts about critical issues not noise.
Cross Platform Visibility with Contextual Intelligence
Databases don’t operate in isolation. SL1 also provides holistic visibility across your entire application and infrastructure stack, connecting database health with server performance, storage latency, cloud services, and more.
By automatically mapping relationships between database instances, host systems, and dependent services, SL1 delivers:
- Topology-aware root cause analysis: Identify whether query delays stem from CPU contention, network bottlenecks, or replication lag
- Dynamic dependency mapping: Visualize relationships between Oracle CDBs, MySQL clusters, or SQL Server instances and their application layers and business services
- Real-time correlation: Surface patterns across performance, configuration, and availability signals through unified logs and metrics
SL1 connects these critical dots so you don’t have to, making troubleshooting faster, smarter, and more effective across previously siloed environments.
Business Service Context for Smarter Decision Making
Databases don’t operate in isolation—they power critical business services. ScienceLogic links database performance to the services they support, helping you understand impact, prioritize issues, and resolve problems faster.
With SL1’s Business Service Monitoring, you can:
- Map databases and applications to the business services they support
- Visualize service health with dependency aware dashboards
- Correlate database performance issues to service degradation
- Trigger workflows and resolutions based on business priorities
SL1 helps you align IT with business outcomes, not just application and infrastructure metrics.
Ready to See More?
Gain real-time visibility into the health, performance, and anomalies of your databases with the ScienceLogic AI Platform. Fill out the form to request a custom demo to see it in action.