YugabyteDB Managed, a fully managed database-as-a-service, has received several key enhancements, including improved security with Customer Managed Keys, new AWS Graviton-based-instances for the free tier, an improved SLA of 99.99%, and a new look-and-feel featuring the updated Yugabyte logo.
Discover how to best achieve high availability and disaster recovery using two data centers. This blog compares traditional monolithic databases with distributed SQL, and then discusses how it is all possible using YugabyteDB with cross-cluster replication capabilities.
YugabyteDB for Python (Django) app can achieve high availability (HA) and handle a cloud outage. To demonstrate this, we will simulate an outage in Google Cloud Platform (GCP) on one of the Yugabyte database nodes to see how YugabyteDB handles the downtime.
In this post, we shine a spotlight on Admiral’s Co-Founder, James Hartig. Read on to learn more about James’ passion for databases and the first time he heard about YugabyteDB. He also discusses his experience using YugabyteDB Managed (formerly Yugabyte Cloud) to serve 10,000 queries per second across three continents.
The purpose of this blog post is to show how you can increase the failure threshold when a node goes down, which happens for a variety of reasons including hardware or network issues and most commonly maintenance. The failure threshold is the amount of time YugabyteDB would wait, after a node goes down, for it to potentially come back up. After reaching this threshold the physical data will begin to move from the dead node to other nodes in the cluster.
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In the first post of our series comparing YugabyteDB with PostgreSQL and MongoDB, we mapped the core concepts in YugabyteDB to the two popular databases. This post is a deeper dive into the high availability and transactions architecture of these databases.