Ask any Kafka question. Get production-grounded answers covering consumer groups, rebalancing, lag monitoring, Schema Registry, security, Kubernetes deployment, and multi-region replication.
From producer tuning to multi-region DR — grounded in real enterprise patterns, not documentation summaries.
linger.ms, batch.size, buffer.memory, max.poll.interval.ms, fetch latency, JMX metrics.
EAGER vs COOPERATIVE protocols, static membership, session timeout vs poll interval, JMX diagnostics.
records-lag-max, kafka_consumergroup_lag, Prometheus alert rules, catch-up strategies.
Compatibility modes (BACKWARD/FORWARD/FULL), schema evolution, data contracts, CEL rules.
SASL/OAUTHBEARER, SCRAM-SHA-512, mTLS, ACLs, RBAC, Confluent Platform Secrets Management.
MirrorMaker 2 vs Cluster Linking, RPO/RTO trade-offs, active-active setup, offset translation.
Confluent for Kubernetes (CFK), operator patterns, resource sizing, rolling upgrades, DR.
JDBC, HTTP, Elasticsearch, Azure, PubSub connectors. Sizing tasks.max, poll intervals, error handling.
Standard OpenAI-compatible chat API — works with any HTTP client or SDK.
curl -sS -X POST https://api.kafkaexpert.ai/chat \
-H "Authorization: Bearer sk-kafka-expert-YOUR-KEY" \
-H "Content-Type: application/json" \
-d '{
"messages": [{
"role": "user",
"content": "A consumer group is rebalancing every 5 minutes. What is causing it and how do I fix it?"
}]
}'
import openai
client = openai.OpenAI(
api_key="sk-kafka-expert-YOUR-KEY",
base_url="https://api.kafkaexpert.ai"
)
response = client.chat.completions.create(
model="kafka-expert",
messages=[{
"role": "user",
"content": "What JMX metrics indicate a Kafka producer is hitting buffer.memory limits?"
}]
)
print(response.choices[0].message.content)
// Response to: "A consumer group is rebalancing every 5 minutes. What is causing it?"
"A rebalance every 5 minutes exactly is the signature of max.poll.interval.ms=300000
(the default) being exceeded. When the consumer's processing loop takes longer
than 300,000ms between consecutive poll() calls, the client proactively sends
LeaveGroup and triggers a rebalance.
Diagnosis: search consumer logs for:
Max poll interval (300000ms) exceeded by ... ms — revoking assignment
Fix options:
1. Reduce max.poll.records (default 500 → try 50):
max.poll.records=50
2. Increase max.poll.interval.ms if processing legitimately takes longer:
max.poll.interval.ms=600000
3. Move slow processing to an async thread — keep poll() on the main thread.
This is entirely a processing-speed issue. It is not related to network
connectivity, broker availability, or session.timeout.ms (which is controlled
by the background heartbeat thread)."
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Built on 25 years of enterprise Kafka delivery across retail, financial services, and classified platforms at Accenture and CapGemini.
Fine-tuned on real production runbooks, JMX dashboards, and architecture reviews — not documentation summaries.
Yes. The API follows the OpenAI chat completions format — set base_url to https://api.kafka-expert.com and model to kafka-expert. Any client that supports OpenAI works: Python openai SDK, JavaScript, curl, LangChain, etc.
Kafka Expert is a LoRA adapter fine-tuned on top of Qwen3-32B (NVFP4), running on a dedicated NVIDIA GB10 GPU. Thinking mode is disabled — answers are direct and production-focused, not verbose chain-of-thought.
The model is trained on 1,610 expert Q&A examples covering: producer/consumer configuration and tuning, consumer group rebalancing, lag monitoring and alerting, Schema Registry (Avro, JSON Schema, Protobuf), Kafka Connect, MirrorMaker 2, Confluent Cluster Linking, SASL/OAUTHBEARER security, Confluent for Kubernetes (CFK), and multi-region replication patterns.
Subscribe above — you'll receive your API key by email within a few minutes. For trial access, click "Request trial key" and you'll get a key valid for 7 days with 100,000 tokens.
You'll receive an email warning at 80% usage. At 100%, requests return a 429 with a clear error message. You can upgrade your plan at any time to increase your quota — contact [email protected].
Absolutely — the API key is a standard Bearer token you can set as a CI environment variable. The Pro tier (5,000 calls/month) is sized for team use in Slack bots, internal knowledge bases, and automated code review tools.