WORKLOAD: POSTGRES FOR KUBERNETES
Mission-critical Postgres® solutions for cloud-native Kubernetes environments
EDB Postgres AI brings automation, smooth Day 2 operations, and a self-healing architecture to Postgres deployments on Kubernetes. Accelerate application development and modernization with microservices using an enterprise-grade k8s operator for Postgres.
EDB Postgres AI
EDB Postgres AI is an intelligent platform for transactional, analytical, and AI workload operations in your cloud-native Kubernetes environments.
Kubernetes accelerates the future — but also introduces complexity that can slow you down.
Running enterprise databases in cloud-native Kubernetes infrastructure can help accelerate app development and modernization. It can also introduce management complexity, operational overhead, and disruptive downtime that slow the pace of innovation.
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 Day 2-ready, with cloud-native tooling and easy CI/CD integration.
Operational overhead
Smooth Day 2 operations when running Postgres on Kubernetes requires knowledge and expertise of 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 continuous high availability for the highest confidence in your data-intensive workloads.
Cloud-native automation
Automate database administration across regions and distributed cluster operations. Deploy, manage, and monitor Postgres and streamline operational workflows tasks using declarative configuration with the Kubernetes API.
Consistent operations
With the EDB Postgres Distributed for Kubernetes operator, you can implement best practices for a variety of workloads, informed by EDB’s deep Postgres expertise, eliminating human error for a consistent deployment of data services.
Self-healing architecture
Automate recovery and rejoin of failed Postgres nodes, removing operational overhead associated with manually restarting nodes. Quickly restore functionality with failover, switchover, backup, recovery, and rolling upgrades.
Customer success story: SAS
SAS Deploys and Operationalizes an Enterprise Postgres Database With Help From EDB
Postgres AI for Kubernetes: The challenges you’ll face and the outcomes you can deliver with EDB
Postgres for Kubernetes workloads architecture
Key features of the EDB solution
Deployment flexibility
Ready to deploy in your preferred cloud-native environment. Run on premises, in public cloud providers, and as a managed cloud service. Fully supported for Red Hat OpenShift, IBM Power, and z/Linux.
Monitoring and observability
Enhanced diagnostics using EDB Postgres AI empower strategic decision-making, helping ensure optimal performance and uptime. Built-in Prometheus exporter and native integration with infrastructure log management.
Enterprise-grade security
Deploy any application with confidence, using security technologies like Transparent Data Encryption, audit trail, privilege analysis, and firewall support.
Key EDB products for Postgres for Kubernetes workloads
EDB Postgres for Kubernetes
Add speed, efficiency, and protection for your k8s infrastructure modernization, with an enterprise-grade operator for Postgres. Bring automation, security, and reliability to cloud-native data infrastructure.
EDB Postgres Distributed for Kubernetes
Deploy self-healing PGD clusters with extreme high availability in cloud-native environments, including across multiple regions. Achieve up to 99.999% uptime with active/active architectures.
CloudNativePG
Leverage an open source operator for automating the deployment and management of Postgres in Kubernetes. Full commercial support is available from EDB experts. Achieve high availability with a primary-standby architecture using native streaming replication.