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Real-Time Streaming
We build streaming data platforms that handle high-throughput, low-latency workloads. Apache Kafka, Google Pub/Sub, and stream processing for event-driven architectures.
Data Engineering
Enterprise-grade streaming platforms
Production-ready streaming platform with documentation and training.
Kafka or Pub/Sub deployment with proper configuration.
Microservices that publish and consume events reliably.
Real-time transformations and aggregations as needed.
Dashboards, alerts, and operational documentation.
A systematic approach to building streaming data platforms.
Define event schemas, throughput needs, and latency requirements.
Design topic structure, partitioning, and consumer patterns.
Deploy streaming infrastructure and build producers/consumers.
Monitoring, alerting, and operational runbooks for your team.
Flexible options based on your streaming complexity.
Single topic with producers, consumers, and basic monitoring.
$15,000 - $25,000
Complete streaming infrastructure with multiple topics and processing.
$35,000 - $60,000
Ongoing platform support and new stream development.
$8,000 - $18,000/mo
Results from streaming implementations we've built.
"Real-time inventory sync across 200 stores. No more overselling, no more stockout surprises."
"Fraud detection went from 30-minute batches to sub-second. We block bad transactions in real-time now."
"Event-driven architecture let us scale microservices independently. Throughput 10x, costs flat."
"Real-time inventory sync across 200 stores. No more overselling, no more stockout surprises."
Kafka for complex processing and replay needs, Pub/Sub for simpler GCP-native streaming. We recommend based on your cloud and requirements.
Kafka guarantees ordering within partitions. We design partitioning strategies that maintain ordering where it matters.
We implement exactly-once semantics where needed using transactions and idempotent consumers. Critical for financial and inventory systems.
Schema Registry with compatibility rules ensures producers and consumers can evolve independently without breaking.
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