Redpanda 25.3 delivers near-instant disaster recovery, and more

Redpanda 25.3 introduces several updates to address challenges in real-time systems related to risk, cost, and complexity. Key features include Shadowing, which enhances disaster recovery by enabling a near-instantaneous failover to a replica cluster, reducing downtime and ensuring business continuity. Cloud Topics optimize cost efficiency for latency-tolerant data by directing it to object storage while maintaining high performance for latency-critical data. The integration with Google BigLake enables seamless governance and analytics of streaming data in the GCP ecosystem. Additionally, the Microsoft SQL Server CDC input in Redpanda Connect facilitates real-time data integration from legacy SQL Server databases, allowing enterprises to modernize their data infrastructure without disruptive migrations. Overall, these updates enhance Redpanda's capabilities as a resilient, efficient, and interoperable data streaming platform suitable for modern enterprise needs.