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Overview

This Guidance demonstrates how to build a robust, scalable, real-time analytics solution for massive data volumes, leveraging Apache Druid and AWS services. It shows how to deploy Druid on AWS infrastructure in a cost-effective and highly available manner, taking advantage of AWS elasticity and flexible pricing models. The resulting fault-tolerant data environment efficiently scales with growing business demands while maintaining high performance. This Guidance enables you to process and analyze large datasets in real-time, enabling faster and more informed decision-making across your organization.

Benefits

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

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Everything you need to launch this Guidance in your account is right here

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Dive deep into the implementation guide for additional customization options and service configurations to tailor to your specific needs.

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Let's make it happen

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.