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CrateDB 3.1 (Stable) Available Now

CrateDB 3.1 (Stable) Available Now

CrateDB 3.1 (stable) has been released and is now faster and easier to use than ever. Here's a quick tour of the highlights.

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Infrastructure as Code, Part One

Infrastructure as Code, Part One

IaC uses code to provision, configure, and manage infrastructure. In part one of this IaC miniseries, I will introduce you to the basic concepts and explain some of the benefits.

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On Writing Beautiful Tests

On Writing Beautiful Tests

Testing and thinking about modes of failure as you design code will help you to write more robust software, which is, in turn, easier to maintain.

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Lab Notes: How We Made Joins 23 Thousand Times Faster, Part Three

Lab Notes: How We Made Joins 23 Thousand Times Faster, Part Three

The final part of a three-part miniseries that looks at how we improved join performance in the CrateDB 3.0 release.

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Run Your First CrateDB Cluster on Kubernetes, Part Two

Run Your First CrateDB Cluster on Kubernetes, Part Two

Part two of a miniseries that walks you through the process of setting up your first CrateDB cluster on Kubernetes.

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Run Your First CrateDB Cluster on Kubernetes, Part One

Run Your First CrateDB Cluster on Kubernetes, Part One

Part one of a miniseries that walks you through the process of setting up your first CrateDB cluster on Kubernetes.

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Summertime Internships

Summertime Internships

A rundown of our 2018 summertime internships.

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Lab Notes: How We Made Joins 23 Thousand Times Faster, Part Two

Lab Notes: How We Made Joins 23 Thousand Times Faster, Part Two

This is part two of a three-part miniseries that looks at how we improved join performance in the CrateDB 3.0 release.

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Craties Go to J on the Beach

Craties Go to J on the Beach

Last month, three of us flew out for J on the Beach in Málaga, a conference for bringing "developers and DevOps together around Big Data."

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Lab Notes: How We Made Joins 23 Thousand Times Faster, Part One

Lab Notes: How We Made Joins 23 Thousand Times Faster, Part One

We made faster joins by implementing a block hash algorithm and distributing its execution across the cluster. Find out more in this post.

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