Apache Druid Real Time Analytics Database

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

## Apache Druid - Production-Ready Real-Time Analytics Database AMI

Deploy a fully configured Apache Druid analytics database on AWS in minutes - not hours. This AMI delivers Druid preinstalled and running as a managed single-server deployment, so you can ingest event and time-series data and run fast, interactive slice-and-dice queries from the built-in web console immediately after launch.

Built for data engineers and analytics teams who need a production-grade OLAP database without the overhead of manual installation, JVM tuning and security hardening - especially teams running Kafka or Kinesis pipelines that need a low-latency query layer.

### Why This AMI Instead of a DIY Install

• Versus manual EC2 setup: Skip the hours of installing a Java runtime, verifying the Druid distribution, wiring up ZooKeeper, the metadata store and deep storage, writing systemd units, provisioning a data disk and tuning JVM memory so every Druid process fits your instance.
• Versus a raw upstream install: Druid's web console ships with no authentication and every service listening on all interfaces. This image binds every Druid process to loopback and fronts the console with an authenticated nginx reverse proxy, so the only thing exposed is a password-protected console on port 80.
• Versus other community AMIs: Benefit from a first-boot process that generates a unique console password per instance, a dedicated data disk for segments and metadata, memory tuned to the instance size, and 24/7 professional support from cloudimg.
• Versus container-based Druid deployments: No orchestration layer required. A single EC2 instance runs the full Druid stack with systemd managing process lifecycle, restarts and boot ordering.

### Application Stack

• Apache Druid installed under /opt/druid, run by a dedicated unprivileged service account
• A single-server deployment: coordinator, overlord, broker, historical, middleManager and router, with a bundled ZooKeeper and an embedded metadata store
• Headless OpenJDK Java runtime with JVM memory computed at boot to fit the instance
• A dedicated EBS data disk holding the deep-storage segments, metadata store, ZooKeeper data and task logs - independently resizable for IOPS and capacity
• systemd services that start Druid on boot and restart on failure
• nginx reverse proxy publishing the authenticated Druid console on port 80

### Real-Time Analytics and Web Console

Druid is built for fast aggregations and interactive, low-latency queries over large event and time-series datasets. Ingest streaming or batch data, then explore it with sub-second group-bys, filters and time-range scans. The unified web console (served on port 80 through nginx) provides a SQL query editor, a data-source explorer, an ingestion and supervisor manager and a services view; Druid also exposes a native JSON query API and a SQL-over-HTTP endpoint for your applications and dashboards. See our deployment guide for annotated console walkthrough screenshots.

### Security

Secure First Boot: A one-shot service generates a fresh console password unique to each instance and stores it in a root-only file. No shared or default credentials ship in the image.

Loopback Isolation: Every Druid process and the bundled ZooKeeper bind only to loopback. The single public entry point is the nginx reverse proxy on port 80, protected by HTTP basic authentication.

Encryption at Rest: The dedicated data disk can leverage AWS EBS encryption. Enable EBS encryption when launching the instance or use encrypted snapshots.

Network Isolation: Deploy in a private VPC subnet and use security groups to restrict access to only the ports your clients require (80 for the console).

### Use Cases

• Ad-tech and clickstream analytics: ingest bid, impression and clickstream events from Kafka and query campaign metrics with sub-second latency for real-time budget-pacing dashboards.
• Real-time operational dashboards over streaming event data from Kinesis or Kafka topics.
• Interactive exploration of time-series and operational metrics over streaming or historical data.
• Ad-hoc slice-and-dice queries over billions of rows with fast response times for data analysts.

### Evaluation Path

Launch this AMI on the recommended instance type to evaluate Druid with minimal AWS infrastructure cost. The bundled wikipedia sample dataset lets you validate query and console access before scaling up.

### 24/7 cloudimg Support

Technical support by email and live chat covers deployment and instance sizing, ingestion and data-source configuration, query tuning, JVM and memory administration, and console authentication and TLS setup.

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