Application Services
PostgreSQL
Chkk coverage for PostgreSQL. We provide preflight/postflight checks, curated release notes, and Upgrade Templates—designed for seamless upgrades.
Coverage Matrix
| Chkk Curated Release Notes | v9.4.25 to latest |
| Private Registry | Supported |
| Custom Built Images | Supported |
| Safety, Health, and Readiness Checks | v9.5.23 to latest |
| Supported Packages | Helm, Kustomize, Kube |
| EOL Information | Available |
| Version Incompatibility Information | Available |
| Upgrade Templates | In-Place, Blue-Green |
| Preverification | Available |
PostgreSQL Overview
PostgreSQL is an advanced open-source relational database known for robustness, extensibility, and compliance with SQL standards. Widely used in cloud-native environments, PostgreSQL provides reliable transactional storage, high availability via streaming replication, and point-in-time recovery. Platform teams often deploy PostgreSQL using Kubernetes operators or managed services, benefiting from tailored features such as PostGIS extensions. However, major version upgrades require careful planning and configuration adjustments to maintain performance and availability. Regular monitoring and tuning are essential to adapt to evolving workload demands.Chkk Coverage
Curated Release Notes
Chkk curates PostgreSQL release notes, emphasizing operationally relevant updates like removed configuration parameters or altered defaults. Platform teams receive focused summaries highlighting critical changes, such as PostgreSQL 14’s switch from MD5 to SCRAM-SHA-256 for password encryption, requiring client adjustments. This approach ensures essential upgrade impacts aren’t overlooked.Preflight & Postflight Checks
Chkk runs preflight checks to confirm version compatibility, deprecated settings removal, and proper replication configurations. After upgrading, postflight checks validate replication health, extension loading, and database performance, recommending essential maintenance like optimizer statistics updates (ANALYZE). These checks proactively detect common pitfalls, reducing risk and downtime.
Version Recommendations
Chkk continuously monitors PostgreSQL support timelines, alerting you before versions approach end-of-life, thus preventing exposure to vulnerabilities. Recommendations prioritize stable, community-tested versions to balance reliability with feature availability. Chkk’s tailored suggestions incorporate compatibility considerations specific to your managed service or deployment strategy.Upgrade Templates
Chkk provides detailed templates for in-place and blue-green upgrade methods, clearly outlining pre-upgrade preparations, execution steps, rollback procedures, and post-upgrade validations. These structured workflows integrate seamlessly with GitOps and CI/CD pipelines, ensuring safe, repeatable upgrades.Preverification
Chkk’s preverification simulates PostgreSQL upgrades in isolated environments, detecting issues like incompatible extensions, schema anomalies, or performance regressions before production deployment. Automated reporting identifies potential blockers, enabling proactive adjustments and significantly reducing production upgrade risks.Supported Packages
Chkk supports multiple PostgreSQL deployment methods, including Helm charts, Kubernetes operators, custom container images, and cloud-managed services. It respects your existing operational workflows, parsing configurations and providing context-aware upgrade recommendations without disrupting established practices.Common Operational Considerations
- Replication Lag & Failover: Monitor replication lag closely; significant delays can cause data loss upon failover. Use synchronous replication for critical workloads requiring zero data loss, despite increased write latency.
- Connection Pooling & Limits: Implement connection pooling (PgBouncer, PgPool) to prevent resource exhaustion from too many connections. Tune
max_connectionsand associated memory parameters carefully to maintain stable performance. - Autovacuum and Table Bloat: Adjust autovacuum settings proactively to avoid table and index bloat, which degrades performance. Regularly monitor vacuum metrics and schedule occasional manual vacuums or reindexing during maintenance.
- Transaction ID Wraparound: Ensure autovacuum is enabled and monitored to prevent transaction ID wraparound, which can halt database operations. Set alerts for transaction age thresholds to trigger timely vacuum actions.
- Extension and Compatibility: Keep extensions up-to-date and compatible with PostgreSQL upgrades, performing necessary version checks before upgrading. Treat extensions as managed infrastructure components, pinning versions and updating them systematically.
- WAL Archiving & Disk Space: Implement robust WAL archiving and monitor disk usage to prevent outages from accumulated WAL files. Configure alerts for WAL directory growth and ensure archiving commands are reliable.