Overview
Provides a centralized, intuitive dashboard for easy monitoring.
Tracks key Kafka metrics, including:
- Brokers
- Topics
- Partitions
- Message production
- Message consumption
Helps teams quickly identify bottlenecks and analyze performance trends.
Optimized for simplicity, security, and fast setup.
Free-to-use Apache Kafka monitoring solution for AWS.
Designed to avoid the complexity of heavyweight monitoring platforms.
Highlights
- Cluster & Infrastructure Visibility Multi-cluster management from a single dashboard Broker health, leader distribution, and partition insights Topic metadata and replication status
- Topic, Message & Consumer Monitoring Create and manage topics Dynamic topic configuration updates Partition and replication factor visibility Browse messages by offset, timestamp, or partition Support for JSON, plain text, and hex encoding Live message streaming mode Message filtering by key, value, headers, or timestamp Consumer group state and lag visibility Partition assignment tracking Offset and rebalance insights
- Security & Access Control Safe operational boundaries for production clusters Authentication and authorisation compatibility with Kafka security models
Details
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
This release focuses on real-time observability, message browsing performance, and cluster management reliability, moving KafkaKeeper from a polling-based model to a live streaming architecture that surfaces cluster state as it happens. Live cluster metrics via WebSocket The Dashboard now streams cluster health and partition counts in real time. A single shared backend source pushes updates to all connected users simultaneously, eliminating duplicate polling per session and preventing blank screens on reconnect. Faster message browsing Offset resolution now uses consumer-native APIs directly, removing an unnecessary admin roundtrip on every seek. Large messages above 200 KB are now represented with a descriptive placeholder instead of being fully parsed. Live mode also supports pause and resume with buffering, allowing you to review messages without missing incoming events. More reliable cluster management Clusters are now tracked using a unique internal identifier, eliminating stale state and duplicate entries during renames. Cache updates for create, rename, and delete operations are applied immediately. Background polling jobs associated with deleted clusters are also cleaned up automatically.
Additional details
Usage instructions
Subscribe to the product and launch an EC2 instance using the provided AMI. Choose an instance type (t3.micro or higher recommended). Ensure the instance has a public IPv4 address.
Configure the security group using the recommended inbound rules by allowing: TCP port 80 (HTTP traffic) TCP port 3001 (Application traffic)
Once the instance is running, open a browser and access: http://<EC2-Public-IP>
This loads the Kafka UI web interface. The backend service, PostgreSQL database (Docker), and Nginx reverse proxy are preconfigured and start automatically at boot using systemd.
Support
Vendor support
If you need any support please reach out to - info@datatroops.io
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.