Yugabyte has introduced cloud resource cleanup (CRC), an open-source command line tool designed to help streamline and optimize the management of your multi-cloud infrastructure. Read more about this comprehensive tool.
YugabyteDB is the first distributed SQL database to receive the designation of AWS Graviton Ready Partner. Learn how we tested and optimized our database using Graviton ARM processors, and see how we delivered strong performance numbers.
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 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.
This blog explores how to import and export Avro (a row-based storage format file) and Parquet (a columnar storage format file) and how to process the data with a YugabyteDB database using Azure Databricks.
In this blog, we explore how to transfer and process data from YugabyteDB (YBDB) to Azure Blob Storage or Azure Data Lake Storage using Azure EventHub through YBDB’s Change Data Capture (CDC) feature.
The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable, consistent manner. But what good is application layer scalability if the data is still confined to a single vertically scalable server that can’t exceed a predefined limit?
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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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As Amazon CTO Werner Vogels often reminds us: ”Everything fails, all the time”. This means any component of the infrastructure will fail at some point. However, with more and more software being deployed in the cloud, today’s infrastructure must provide redundancy. In addition, the applications that sit on top of it must provide continuity over failures.
This involves database replication when the failure concerns data in motion. But there are different levels of failures and different protection technologies.
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