A distributed, high-performance, low-latency event streaming platform. Ideal for data pipelines, messaging, and real-time processing.
Version:
4.2.0
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Kafka does not have a web interface. Interaction is directly between producers and consumers using the broker's port.
<IP_DE_LA_VM>:30909
# List existing topics
kafka-topics.sh --bootstrap-server <VM_IP>:30909 --list
# Create a topic
kafka-topics.sh --bootstrap-server <VM_IP>:30909 \
--create --topic my-topic --partitions 3 --replication-factor 1
# Describe a topic
kafka-topics.sh --bootstrap-server <VM_IP>:30909 \
--describe --topic my-topic
# Send messages (producer)
kafka-console-producer.sh --bootstrap-server <VM_IP>:30909 --topic my-topic
# Receive messages (consumer)
kafka-console-consumer.sh --bootstrap-server <VM_IP>:30909
-topic my-topic --from-beginning
# Java / Spring Boot
bootstrap-servers=<IP_DE_LA_VM>:30909
# Python (kafka-python)
bootstrap_servers=['<IP_DE_LA_VM>:30909']
# Node.js (kafkajs)
brokers: ['<IP_DE_LA_VM>:30909']
# View the Kafka pod
`kubectl get pods -A | grep kafka`
# View the installation log
`tail -f /var/log/cuemby/bootstrap.log`
# Verify that the port is listening
`ss -tlnp | grep 30909`
Expected output:
NAME READY STATUS RESTARTS
kafka-xxxxxxxxx-xxxxx 1/1 Running 0 ← Running ✓
ℹ️ This installation uses KRaft mode (without ZooKeeper). It does not require a separate ZooKeeper ensemble.
# 1. Create a topic with 3 partitions
kafka-topics.sh --bootstrap-server <VM_IP>:30909
--create --topic events --partitions 3 --replication-factor 1
# 2. Verify that the topic was created
kafka-topics.sh --bootstrap-server <VM_IP>:30909 --list
# 3. Produce a test message
echo "hello world" | kafka-console-producer.sh
--bootstrap-server <VM_IP>:30909 --topic events
# 4. Consume the message
kafka-console-consumer.sh --bootstrap-server <VM_IP>:30909
--topic events --from-beginning --max-messages 1
💡 Tip: Adjust KAFKA_HEAP_OPTS if you see OutOfMemoryError errors. With 8 GB of RAM, a value like -Xmx3g or -Xms3g provides enough headroom for light production workloads.

IaaS
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Datacenters regions available in Colombia, Ecuador, and Chile
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