Discover how YugabyteDB gives you the flexibility to set different RF values and server counts for your read replica cluster. Tailor your replica nodes for optimized low-latency reads across multiple regions while maintaining a separate replication factor for high availability.
Introducing PgCompute—a client-side extension for PostgreSQL aimed at revitalizing the use of database functions by allowing developers to create and optimize them seamlessly within their preferred IDE and programming language.
PostgreSQL offers robust features but has certain limitations in scalability, replication, resilience (and more). YugabyteDB addresses these issues through distributed design, storage efficiency, and transaction handling, providing a comprehensive solution when high availability, ACID, and scale are mandatory.
Learn how YugabyteDB ensures stability when a downed node rejoins the cluster. Our latest blog covers the essential 15-minute RAFT timeout and the built-in fault tolerance mechanisms that keep your data secure and accessible.
Monitoring logs is vital for system performance and issue identification. Splunk offers powerful log management and analytics, enabling comprehensive log analysis. In this blog, we explore exporting YugabyteDB logs to Splunk, providing a step-by-step guide.
Optimize your web testing with parallel Cypress execution using Docker and Jenkins, cutting down test suite time across multiple virtual machines. This guide also covers the integration of Report Portal for detailed reporting and Mochawesome for insightful analysis.
YugabyteDB offers ways to geo-distribute reads. While read replicas are one method, they require more infrastructure. An alternative is to enable follower reads for low-latency access from the primary cluster.
Explore the different data replication options available with YugabyteDB including synchronous, asynchronous, read replicas, xCluster, and change data capture (CDC).
Learn how to integrate YugabyteDB with Amazon Redshift database using the Amazon Web Services(AWS) Managed Kafka Stream (MSK) and YugabyteDB Change Data Capture (CDC) connector.
In YugabyteDB, you can manage the number of shards (tablets) using flags like ysql_num_tablets for total control or ysql_num_shards_per_tserver for control per tserver. Dynamic auto-splitting is also supported for automatic adjustments as data grows.
