Server racks can be strategically utilized as fault domains to boost resilience and ensure high availability in on-premise YugabyteDB deployments. It remains up despite rack outages by spreading data across multiple racks. Read our blog to learn how to configure and deploy nodes across racks.
YugabyteDB Aeon helps Scout24 meet their complex data needs for “Kotao” with a geo-partitioned, high-availability architecture for global operations. YugabyteDB’s PostgreSQL compatibility and scalable, fault-tolerant design make it a resilient choice for Scout24’s innovative hospitality management tool.
YugabyteDB Managed introduces five transformative updates, including the ability to create multi-region clusters on Microsoft Azure, unified monitoring with external metrics export, enhanced security with AWS or Azure Privatelink, increased fault tolerance, and flexible read replica scaling for optimal price-performance.
YugabyteDB is built primarily to be a CP database per the CAP theorem. It supports two interfaces – YSQL for SQL workloads and YCQL for Cassandra-like workloads. In this blog, we will primarily talk about the YCQL interface. When an application interacts with the database using the YCQL interface, the writes are always consistent and reads are consistent by default. When this level of consistency is not required, YugabyteDB supports two other types of reads:
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We have performed our own Jepsen testing on YugabyteDB, and the open-source repository reveals no correctness failures; we’re also working on adding more tests to ensure our database holds true to its promises.
