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.
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.
Today, we are announcing new names for our product offerings that were previously referred to as Yugabyte Platform and Yugabyte Cloud. The features and capabilities of these products aren’t changing. However, we hope the new names better capture their underlying features and benefits.
We realized that our previous product names did not properly communicate our vision for the product nor easily identify what our products do. But don’t worry, both YugabyteDB and our company name,
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On the heels of an incredibly difficult 2020, my fellow Texans and I had the misfortune of experiencing a once-in-a-lifetime snowstorm. To be true, at the time, it felt like much more than a snowstorm. It wasn’t just snowfall in Texas. It was a snow-pocalypse.
However, once the storm settled, I explored how the rest of Texas had fared. I discovered some of the companies who run applications in production on YugabyteDB were also affected.
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At a recent Distributed SQL Summit, Travis Logan – CTO & Co-Founder at Justuno, presented the talk, “Evolve: A Database Journey from Ground to Cloud.”
With over 14 years of experience with Microsoft SQL Server, Travis is well-versed in the evolution of transactional databases. In this talk he summarizes his experiences with traditional RDBMS while trying to improve their redundancy, scaling characteristics, and performance.
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