It’s good to keep a record about the growing size of databases and tables to make reporting easier and to quickly determine why there was a sudden drop or increase in table size or infer table create and drop dates. YugabyteDB Anywhere provides an API to capture table-level size metrics on a daily basis in a permanent table. This blog will provide the instructions to capture those table size metrics.
Alerts can be created from the YugabyteDB Anywhere UI or by using APIs designed specifically for the product, which can be extremely helpful if you need to create a new universe or migrate a platform. This blog will walk you through how to create these alert configurations using APIs in YugabyteDB Anywhere product.
Our recently released YugabyteDB 2.15 packs a number of updates to enhance both your customer’s experience and accelerate your data loading. Read the blog to learn more about these key updates.
This release contains several new enhancements to help you onboard rapidly and leverage familiar, proven capabilities and tools. With the new release, you can reduce your time-to-market for new innovations by eliminating those time-consuming projects to fix nagging issues in your legacy database. Continue reading to learn more.
YugabyteDB 2.15 delivers Quality of Service (QoS), multi-tenancy, and dynamic app-aware sharing to support dynamic workload optimization. Read this blog to explore each of these features in detail.
We are thrilled to announce one of the most extensive updates to YugabyteDB since its initial launch. YugabyteDB 2.15 and our new YugabyteDB Voyager are available now!
In this blog post, we’ll explore how Kroger is making the right digital transformation investments using a modern data layer to power a flexible growth engine for their business.
Temenos could not continue to rely on monolithic databases for manufacturing business operations. They needed a high-availability, scale-out transactional database, so they turned to YugabyteDB. They recently announced that the Temenos Banking Cloud is achieving 100,000 business transactions per second. Learn how that performance benchmark was achieved.
In this blog post, we will stream data to downstream databases leveraging YugabyteDB’s Change Data Capture (CDC) feature introduced in YugabyteDB 2.13. This will publish the changes to Kafka and then stream those changes to databases like MySQL, PostgreSQL, and Elasticsearch.
This post walks through how to send data from YugabyteDB to Elasticsearch using YugabyteDB’s Change Data Capture (CDC) feature.
