How to use Apache Druid on AWS? Read the article to learn more. Bobcares, as a part of our AWS Support Services offers solutions to every query that comes our way.

Overview

1. Apache Druid Deployment on AWS: Introduction
2. How AWS Supports Druid?
3. Deployment Methods
4. Deployment Benefits

Apache Druid Deployment on AWS: Introduction

Using a columnar storage design, Apache Druid allows for scalable, real-time analytics. It also enables setup on AWS for flexibility and efficient data processing and querying.

How AWS Supports Druid?

i. Choose from AWS Marketplace’s pre-packaged solutions or manually deploy on EC2 instances.

2. Store Druid data in Amazon S3 for scalable, durable storage.

3. Run Druid historical and real-time nodes on EC2 instances.

4. Store Druid cluster metadata in Amazon Aurora PostgreSQL or RDS.

5. Monitor Druid cluster health using Amazon CloudWatch for insights and alerts.

Deployment Methods

1. Self-managed deployment: Manually set up and manage Apache Druid on AWS EC2 instances, providing full control over configuration and maintenance tasks, but requiring expertise and ongoing operational effort.

2. Managed service: Utilize third-party managed Druid services on AWS that handle infrastructure management, scaling, backups, and monitoring, reducing operational overhead while potentially limiting control over underlying configurations.

3. AWS Marketplace: Deploy Apache Druid using pre-configured Amazon Machine Images (AMIs) available on AWS Marketplace, offering quick setup with Druid already installed and supported documentation.

4. AWS native services integration: Integrate Apache Druid with AWS services like Amazon Kinesis for data streaming, Amazon S3 for storage, and Amazon EMR for batch processing and ETL jobs, leveraging AWS scalability and flexibility while enhancing Druid’s analytics capabilities.

Deployment Benefits

We may simply grow or shrink the Druid cluster according to the needs.

With AWS’s on-demand pricing model, we only pay for the resources we use.

Druid may be linked with a wide range of AWS services to create a full analytics solution.

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Conclusion

To conclude, running Apache Druid on AWS brings together powerful tools like S3 for storage, EC2 for computing, Aurora/RDS for database needs, and CloudWatch for monitoring. This combination ensures scalable, efficient, and well-monitored real-time analytics solutions.