Free Resource - Real-Time Streaming Blueprint
A complete technical guide for building real-time data streaming systems. Architecture patterns, technology choices, and scaling strategies from platforms processing billions of events per day.
Real-Time Streaming Architecture Blueprint
A complete technical guide for building real-time data streaming systems. Based on experience processing billions of events per day for luxury brands and financial institutions.
What You'll Get
- Architecture Diagrams
- Complete system architecture showing Kafka clusters, stream processing, storage layers, and monitoring infrastructure.
- Technology Stack Guide
- Kafka vs Kinesis comparison, when to use each, configuration best practices, and cost considerations.
- Infrastructure as Code
- Terraform templates for setting up Kafka clusters, stream processors, and supporting infrastructure on AWS and GCP.
- Scaling Strategies
- How to scale from millions to billions of events. Partitioning strategies, consumer group patterns, and backpressure handling.
- Monitoring & Alerting
- What to monitor, alert thresholds, and dashboard configurations. Includes sample Grafana dashboards and Prometheus rules.
- Production Checklist
- Complete pre-launch checklist covering performance testing, failure scenarios, disaster recovery, and operational runbooks.
Perfect For
- ✓Engineering teams building real-time data pipelines
- ✓Companies migrating from batch to streaming architectures
- ✓Organizations scaling existing streaming systems
- ✓Architects evaluating streaming technology choices
Based on Real Experience
This blueprint comes from building streaming systems that process over 300 million events per day with sub-second latency. Every pattern and recommendation has been tested in production at scale.