Hire Apache Kafka Specialists

Design and deploy enterprise-grade event streaming architectures for real-time data processing

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Why Choose Apache Kafka?

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Cluster Architecture

Design highly available Kafka clusters with proper partitioning, replication, and performance tuning.

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Kafka Connect

Build data pipelines connecting Kafka to databases, cloud services, and enterprise systems.

Stream Processing

Implement real-time data transformations with Kafka Streams, ksqlDB, or Flink.

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Enterprise Security

Configure SSL/TLS encryption, SASL authentication, and ACL-based authorization.

What You Can Build

Real-world Apache Kafka automation examples

Pricing Insights

Platform Cost

Open Source Free (self-hosted)
Confluent Cloud $0.10/GB + infrastructure
AWS MSK $0.21/hr per broker
Managed Services Varies by provider

Service Price Ranges

simple $5,000 - $12,000
standard $15,000 - $35,000
complex $40,000 - $100,000+

Kafka vs Alternatives

Feature Kafka Rabbitmq Pulsar
Throughput Millions/second Thousands/second Millions/second
Message Retention Configurable (days to forever) Until consumed Tiered storage
Stream Processing Native (Kafka Streams) External tools Pulsar Functions

Learning Resources

Master Apache Kafka automation

Frequently Asked Questions

How do you size a Kafka cluster for our workload?

We analyze your message throughput, retention requirements, and latency SLAs. We calculate partition counts, broker resources, and replication factors through modeling and load testing to right-size your cluster.

Should we use managed Kafka or self-hosted?

Managed services (Confluent Cloud, AWS MSK) reduce operational burden but cost more at scale. Self-hosted offers full control and cost efficiency. We help evaluate based on your team's expertise and requirements.

How do you handle Kafka monitoring and alerting?

We set up comprehensive monitoring with Prometheus/Grafana or Datadog, tracking lag, throughput, partition health, and resource usage. We configure alerts for consumer lag, under-replicated partitions, and capacity thresholds.

Can Kafka guarantee exactly-once message delivery?

Yes, since Kafka 0.11. We configure idempotent producers, transactional consumers, and exactly-once semantics for Kafka Streams applications. This ensures no duplicates even in failure scenarios.

How do you migrate data from our existing message queue to Kafka?

We implement parallel consumption from your existing system while producing to Kafka, validate data consistency, gradually shift consumers, and decommission the old system with zero downtime.

What's the best way to integrate Kafka with our databases?

For database integration, we recommend Kafka Connect with Debezium for Change Data Capture (CDC). This streams database changes to Kafka in real-time without impacting source database performance.

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