Launching today
kafkaesque
A lightweight Kafka observability tool and monitoring system
2 followers
A lightweight Kafka observability tool and monitoring system
2 followers
A lightweight Kafka observability dashboard for understanding your cluster before it becomes a production incident.
Free
Launch Team
Render Sandboxes: a computer for every agentIsolated compute, persistent state and a real filesystem
Promoted
Kafkaesque
A must-have tool for your engineering team if you're using Kafka.
If your engineering team uses Apache Kafka, monitoring your cluster shouldn't mean juggling CLI commands, navigating multiple tools, or setting up heavyweight observability platforms. Getting visibility into brokers, topics, consumer groups, partition health, and consumer lag should be straightforward.
Kafkaesque brings everything together in one focused place. It's a lightweight, read-only Kafka monitoring dashboard, API, and CLI that gives developers and operators a clear picture of their Kafka cluster. Track cluster health, explore topic activity, investigate consumer lag, and configure Slack alerts to catch possible issues before they turn into production incidents. No message production, no Kafka resource modifications, and no unnecessary complexity.
What can you do with Kafkaesque?
Cluster Health Dashboard: Get an overview of connection status, brokers, topics, partitions, and consumer groups.
Broker Monitoring: Inspect broker IDs, rack placement, advertised listeners, and effective connection addresses.
Topic Monitoring: Explore topics, partition counts, replication, and hourly message activity.
Consumer Group Monitoring: Inspect consumer group states, active members, topic coverage, and aggregate lag.
Partition-Level Lag: Identify lagging consumers and drill down into individual partition assignments.
Slack Lag Alerts: Configure alerts using average or maximum partition lag thresholds.
Alert Lifecycle Management: Receive notifications when lag breaches a threshold and optional follow-up notifications when it recovers.
Kafka Security Support: Connect using plaintext, TLS, mutual TLS, SASL PLAIN, and SASL SCRAM authentication.
REST API: Access Kafka monitoring information through an authenticated JSON API.
Standalone CLI: Inspect Kafka clusters using text or JSON output, with watch mode for continuous monitoring.
Get started with Docker
Kafkaesque ships as a multi-platform Docker image for AMD64 and ARM64.
1. Pull the image
2. Generate an encryption key
3. Create config.yaml
Replace the placeholders with your Kafka and PostgreSQL connection details.
4. Run Kafkaesque
5. Open the dashboard
Sign in using the Super Admin credentials configured above and start exploring your Kafka cluster.
Note: You'll need a reachable Kafka cluster and a dedicated PostgreSQL 18+ database before starting the server. For local HTTP testing, cookie_secure: false is appropriate; use secure cookies behind HTTPS in production.
Built for developers who work with Kafka
Kafkaesque is built with Go, Apache Kafka, HTMX, and PostgreSQL. It runs as a single Go application with embedded UI assets and a non-root Docker container.
The guiding principle is simple: make Kafka monitoring accessible without making infrastructure more complicated.
GitHub: https://github.com/nikhil25803/kafkaesque
Project website: https://www.nikhilraj.space/projects/kafkaesque
Kafkaesque is open source, and contributions are always welcome!
Found a bug? Have an idea for a feature? Feel free to raise an issue, suggest improvements, or push fixes. Every contribution, big or small, makes a difference.
I'd love to see the community get involved. Let's collaborate, improve, and make Kafkaesque the best Kafka monitoring tool out there!
Happy monitoring! 🚀