We’re delighted to announce that we have successfully completed our Service Organization Controls (SOC) 2 Type 2 and SOC 3 attestations, covering YugabyteDB, YugabyteDB Anywhere, and YugabyteDB Managed.
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.
Every SQL execution in PostgreSQL and therefore in YugabyteDB YSQL takes time to process. A common way to identify how much is time spent on processing is to use the pg_stat_statements view in the database. However, the time visible in pg_stat_statements might differ from the time a database client registers for the execution. Where does this difference come from? Let’s take a look.
As you look to build a streaming application that scales, there are many database options to choose from. If you’re looking for a high-performance database that can handle large-scale data, YugabyteDB,
is a great option. In this blog, we will build an application with YugabyteDB and Django, using the PubNub market order data stream. You will see how you can use YugabyteDB and Django to make an application that subscribes to the PubNub Market Orders Stream, stores these trades in YugabyteDB, and displays them in real-time.
In this blog, we will explore how YugabyteDB Change Data Capture (CDC) and open table formats like Apache Iceberg can be used to build data lakes in Amazon S3 using a single copy of the data and achieve low data ingestion latency while avoiding costly rewrites to support updates/deletes and schema evolution.
We are committed to delivering new YugabyteDB distributed database capabilities that enhance the Microsoft Intelligent Data Platform experience for our joint customers by dramatically simplifying the process to connect YugabyteDB with Microsoft Azure Synapse Analytics.
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.
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.