ClusterEye
What is ClusterEye?
ClusterEye is a database observability and operations platform for monitoring database performance, topology, availability, and security activity. Its primary Database Performance Monitoring function identifies slow queries and analyzes execution plans to help database teams investigate query responsiveness and index opportunities. The platform supports PostgreSQL, MongoDB, Microsoft SQL Server, MySQL, Oracle, and other database engines. ClusterEye product overview
Key Capabilities
- Cluster topology: Discovers and maps database primaries, replicas, arbiters, and shards to show replication relationships and failover events.
- Query analysis: Identifies slow queries and provides automated index suggestions and execution-plan analysis.
- Alerting: Monitors replication lag, disk input/output, deadlocks, and other database conditions, with anomaly detection and integrations for Slack and PagerDuty.
- Backup verification: Tests backup health and reports data against recovery point objective (RPO) and recovery time objective (RTO) targets.
- Operational timeline: Correlates environment events and groups related incidents to support root-cause investigation.
- Database administration: Database Management capabilities provide dashboards, alarms, configuration-drift checks, scheduled reports, and instance inventory.
- Audit controls: Audit functionality records Oracle Data Manipulation Language (DML) and Data Definition Language (DDL) activity, including user, source, program, and risk-score details.
Audience & Use Cases
- Audience: Database administrators, site reliability engineers, infrastructure teams, security teams, and platform operations teams.
- Use Case: Teams can use ClusterEye to monitor database clusters, investigate slow or failing workloads, verify backups, track configuration changes, and review database activity for compliance purposes.
Technical Specifications
- Deployment: On-premises and cloud-native deployment models.
- Collector architecture: Low-overhead agents with collectors deployed in the customer’s virtual private cloud (VPC).
- Supported environments: Linux, Windows, Kubernetes, and Docker.
- Database coverage: Relational, NoSQL, search, cache, and cloud-hosted database services.
- Enterprise controls: The vendor lists air-gapped deployment, Security Assertion Markup Language (SAML) single sign-on, role-based access control, and extended metric retention for enterprise plans. ClusterEye deployment and plan details.
Categories & Use Cases
Technical Details
| Mobile Application | No |
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FAQs
What are ClusterEye's top competitors?
New Relic, SolarWinds Database Performance Analyzer, and Percona Monitoring and Management (PMM) are common alternatives for ClusterEye.