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
KafkaKeeper 1.3.0 is centered around delivering a more seamless, secure, and operationally efficient experience for teams managing large-scale Kafka environments. This release introduces an authentication and user activation workflow aimed at simplifying onboarding while improving platform security and accessibility for enterprise users. The updated flow enables smoother first-time account setup, faster user verification, and a more intuitive sign-in experience for returning users. Beyond authentication improvements, we also focused heavily on refining everyday platform usability. Cluster management workflows have been enhanced with smarter sorting capabilities, making it easier for teams to organize and monitor Kafka infrastructure in real time. We also improved account recovery interactions and introduced additional interface and branding refinements to create a more polished and production-ready experience across the platform. Version 1.3.0 continues our commitment to building a stable, scalable, and enterprise-grade Kafka operations platform designed for modern event-driven systems.
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)
After the instance starts, wait about 2-3 minutes for all services to initialise. Then open your web browser and navigate to: 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.