Enhance EDB Postgres AI (EDB PG AI) deployments on Kubernetes with automation, streamlined Day 2 operations, and self-healing architectures using enterprise-grade Kubernetes operators. EDB PG AI for CloudNativePG facilitates the lifecycle management of highly available, secure, enterprise-grade Postgres database clusters on Kubernetes. THE CHALLENGE: Kubernetes accelerates the future—but also introduces complexity that can slow you down. Deployment complexity: Infrastructure teams manage many different systems at scale. Introducing a new database only adds to the complexity. Platform engineers need solutions that are ready, with cloud-native tooling and easy CI/CD integration. Operational overhead: Smooth operations when running Postgres on Kubernetes require knowledge and expertise in both container and database technology. Consistent operations can be hampered by human error and lack of expertise. Costly downtime: Mission-critical applications require data that is consistent, compliant, and complete—without sacrificing performance. Distributed databases are a good solution for high availability, but also introduce a lot of operational complexity. EDB delivers the highest confidence for your data-intensive workloads on Kubernetes with: Cloud-native automation: Automate database administration across regions and distributed cluster operations. Deploy, manage, and monitor Postgres and streamline operational workflow tasks using a declarative configuration with the Kubernetes API. Consistent operations: Use Postgres on Kubernetes with confidence by eliminating human error through consistent deployment of data services. EDB’s deep expertise in Postgres and Kubernetes is a vital resource for keeping your organization aligned and up to date on the best cloud-native practices. Self-healing architecture: Automate recovery and rejoin of failed Postgres nodes, removing operational overhead associated with manually restarting nodes. Quickly restore functionality with automated failover, backup, recovery, and rolling upgrades.