This mismatch between large producers and small consumers is where systems fracture. The fix isn’t constraining producers or overloading consumers — it’s a fanout layer.
Kafka feeds the stream, Spark tracks progress via checkpoints, and Delta's transaction log ensures every event lands exactly once, even across failures and restarts.
Modern cloud systems need performance engineering, not just load testing. Proactively ensure reliability, scalability, and resilience across the lifecycle.
Shift-left alone won't protect your pipeline. Learn all about how security governance, policy-as-code, and SBOMs create a CI/CD pipeline built to last.
A practical playbook for deploying generative AI at scale, covering governance, security, risk controls, and best practices for safe, compliant production use.
Securely connect to a MongoDB DocumentDB replica set in Kubernetes using mongosh with credentials retrieved dynamically from Kubernetes secrets for direct access.
Many AI tools fail in production not because of model quality, but due to architectural decisions around retries, cost control, observability, and multi-tenant safety.
Discover how GenAI at the edge unlocks real time digital experiences with low latency intelligence, responsive architecture, and next level customer engagement.
Learn a repeatable pattern for safely adding GenAI to existing apps. Choose workflows, define contracts, handle latency, build fallbacks, and roll out with telemetry.