This blog highlights six moments that will increase the risk of an ecommerce website crash. Using examples, it illustrates the short- and long-term financial and reputational impact of such crashes, showing how by modernizing the data layer retailers can ensure site resilience, scalability, and consistent high performance and safeguard their share of the growing eCommerce market.
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.
Yugabyte helps Fortune 500 companies modernize their systems of record, which are integral to the web-based interactions of their customers. These systems require accuracy, consistency, and resiliency. Strategies like replication and sharding help maintain high availability in a cloud native world.
During a massive Texas snowstorm, a power failure affected millions of homes, businesses, and even one of our largest retail customer’s data centers. Despite the widespread chaos, they managed to maintain application availability thanks to YugabyteDB’s geo-distributed cluster, a solution we’ll explore in this blog post.
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 this post, we comparethe high availability and transactions architecture of PostgreSQL and MongoDB to that of YugabyteDB.