Event streaming, real-time data pipelines, and microservice decoupling with Kafka.
Fremen Consulting implements Apache Kafka — event streaming platforms, microservice decoupling, real-time data pipelines, Kafka Connect integrations, and MSK or Confluent Cloud deployment for high-throughput data systems.
Problems we solve for businesses like yours
Direct HTTP calls between microservices create cascading failures, tight coupling, and inability to handle traffic spikes without everything failing together.
Nightly batch jobs mean dashboards show stale data and real-time features are impossible — the business needs event-driven data within seconds.
Self-managed Kafka clusters without proper monitoring, partition strategy, or consumer group management become operational nightmares at scale.
Solutions tailored to your industry and growth goals
Topic design, partition strategy, schema registry with Avro or Protobuf, and producer/consumer patterns for reliable event-driven microservices.
Connectors for PostgreSQL CDC, S3, Elasticsearch, and Snowflake enabling real-time data sync without custom ETL code.
Amazon MSK or Confluent Cloud setup with monitoring, alerting, consumer lag dashboards, and disaster recovery configuration.
Technologies and platforms we work with in this space
Measurable outcomes from projects in this space
Kafka event streaming replaced nightly batch ETL, delivering analytics data within seconds and enabling real-time dashboard features.
Clear answers to common questions in this industry
Kafka suits event-driven architectures, real-time data pipelines, log aggregation, and microservice decoupling at scale. For simple async tasks, RabbitMQ or SQS may be simpler. We assess your throughput, ordering, and retention requirements.
Yes. Amazon MSK is our preferred managed Kafka for AWS environments. We also deploy Confluent Cloud for teams wanting fully managed operations with advanced stream processing.
Kafka enables real-time streaming ETL with Kafka Connect and stream processing (Kafka Streams or Flink), replacing or supplementing batch jobs for use cases requiring low-latency data.
We design topics by domain event, configure appropriate partition counts for parallelism, implement schema registry for contract enforcement, and establish retention policies aligned with business requirements.
Initial Kafka cluster and first event pipeline takes four to eight weeks. Organization-wide event streaming platform typically takes three to six months.
Tell us about your business and goals. We will recommend the right approach for your industry, timeline, and budget.