The Distributed SQL Blog

Thoughts on distributed databases, open source and cloud native

Real-Time Scalable GraphQL and JAMstack with Gatsby, Hasura, and YugabyteDB

JAMstack is a new way of building websites and apps. It’s not a technology but rather an architectural pattern that is growing in popularity. In JAMstack, the JAM acronym stands for JavaScript, API, and Markup, and the main idea behind the technology is that web applications don’t have to rely on the application server to be fully functional and robust.

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100% Committed to Open Source, YugabyteDB Community Update – June 11, 2020

While it is still early days, it is exciting to see the YugabyteDB community hit some cool milestones! We wanted to share them with you, plus update you some additional community related news.

Our Commitment to Social Justice

First things first. Recent events that resulted in the death of George Floyd at the hands of police have been traumatic and painful for many of us,

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Getting Started with Distributed SQL on Red Hat OpenShift with YugabyteDB Operator

We are happy to announce that the YugabyteDB Operator is now certified and available as a Beta release on Red Hat OpenShift, a leading enterprise Kubernetes platform for deploying and managing cloud native applications. Achieving certification means that customers can deploy YugabyteDB on OpenShift with confidence because the YugabyteDB container image has been secured, validated, and is well-integrated to run on OpenShift.

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Highly Available Prometheus Metrics for Distributed SQL with Thanos on GKE

In the last few years, Prometheus has gained huge popularity as a tool for monitoring distributed systems. It has a simple yet powerful data model and query language, however, it can often pose a bit of a challenge when it comes to high availability as well as for historical metric data storage. Adding more Prometheus replicas can be used to improve availability,

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Follow-up: Evaluating CockroachDB vs YugabyteDB Webinar

Earlier this week, Yugabyte CTO Karthik Ranganathan presented the live webinar: Evaluating CockroachDB vs YugabyteDB, with a spotlight on comparing PostgreSQL features, architecture, and the latest performance benchmarks between the two databases. We were delighted to see such interest in the topic, dive deeper into some of the topics we raised in parts 1 and parts 2 of the blog series,

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Part 1: Deploying a Distributed SQL Backend for Apache Airflow on Google Cloud

Apache Airflow is a popular platform for programmatically authoring, scheduling, and monitoring workflows. Airflow has been deployed by companies like Adobe, Airbnb, Etsy, Instacart, and Square. The advantage of defining workflows as code is that they become more maintainable, versionable, testable, and collaborative. Airflow is used to author these workflows as directed acyclic graphs (DAGs) of tasks.

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