Highly available PostgreSQL clusters with auto failover and load balancing
When it is critical, you can count on us!
Easily configure highly available PostgreSQL clusters with automated deployment, load balancing, and auto-failover. pg_cirrus eliminates manual errors and streamlines setup with certified tools. Key features include data redundancy with replication across nodes, optimized resource utilization through read-write separation, and minimal downtime through high availability. Whether you need scalability or reliability for mission-critical data, pg_cirrus ensures seamless performance for PostgreSQL clusters.
Key Features of pg_cirrus
- Automated Deployment: With pg_cirrus, you can save valuable time and achieve consistency through automation. Once you specify your cluster’s IPs, PostgreSQL version and port, pg_cirrus does the rest.
- Data Redundancy: With pg_cirrus your data is replicated to 2 nodes hence ensuring minimal data losses.
- Load Balancing: pg_cirrus provides load balancing out-of-the-box with the write requests handled by the primary server and read requests handled by the standby servers. This optimizes resource utilization and improves overall system performance.
- High Availability: With auto-failover, pg_cirrus ensures high availability and reliability for your PostgreSQL 3-node cluster, hence minimizing downtime.
Related Blogs
October 17, 2024
Implementing Bi-Directional Replication in PostgreSQL
In today's fast-paced digital world, ensuring that your data is always up-to-date and accessible is crucial. For businesses using PostgreSQL,…
September 10, 2024
Understanding Factors Impacting Data Replication Latency in PostgreSQL Across Geographically Distributed Nodes
In an increasingly globalized world, companies and organizations are leveraging distributed systems to handle massive amounts of data across geographically…
September 3, 2024
Deploying Your First PostgreSQL Clusters on Kubernetes with Cloud Native Postgres
CloudNativePG is an open-source operator designed to manage PostgreSQL workloads on any supported Kubernetes cluster running in private, public, hybrid,…