Blog

Operations

Monitoring CrateDB on Kubernetes with Prometheus and Grafana

2018-12-13

Learn how to set up Prometheus and Grafana with CrateDB so as to monitor CPU, memory, and disk usage, as well as CrateDB metrics like queries per second.

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Development

Machine Learning and CrateDB, Part Two: Getting Started With Jupyter

2018-12-04

In part two of this miniseries, learn how to get started with machine learning using Python and Jupyter Notebook.

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Integrations

Use Power BI With CrateDB for End-to-End Data Warehousing and Business Intelligence

2018-11-27

In this step-by-step tutorial, I show you how to get started with Power BI Desktop and CrateDB.

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Integrations

Pair CrateDB with Grafana, an Open Platform for Time Series Data Visualization

2018-11-19

Grafana allows you to visualize time series data, which makes it a perfect match for CrateDB. Get up-and-running on your local machine.

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General Operations

Infrastructure as Code, Part Two: A Closer Look at Terraform

2018-10-30

In part two of this IaC miniseries, I will tell you more about Terraform and provide examples from our own setup at Crate.io.

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Development

Machine Learning and CrateDB, Part One

2018-10-19

Part one of a miniseries that introduces you to the fundamentals of machine learning and shows you how to get started with some hands-on coding.

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Product

CrateDB 3.1 (Stable) Available Now

2018-10-11

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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Operations

Infrastructure as Code, Part One

2018-10-04

Infrastructure as Code 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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Integrations

Use CrateDB With DataGrip, an Advanced Database IDE

2018-09-25

If you're looking for a fully-featured database IDE that works with CrateDB, DataGrip provides the goods.

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Development

On Writing Beautiful Tests

2018-08-30

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. It also makes your code easier to refactor and easier to modify.

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