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.
Agentic AI transforms retail order sourcing by using real-time demand, weather, and supply data to reduce markdowns, optimize inventory, and boost margins.
Modern cloud systems need performance engineering, not just load testing. Proactively ensure reliability, scalability, and resilience across the lifecycle.
AI coding agents can refactor a microservice in seconds. So why are developers still spending half their day waiting to find out if their code actually works?
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.
A custom framework testing Oracle 26ai’s ability to convert natural language into SQL using the 22 TPC-H benchmark. With no prompt engineering, it achieves high accuracy.
ZDO can deliver near-zero downtime for S/4HANA upgrades, but only if all prerequisites are perfectly met; otherwise, it quickly reverts to a standard downtime upgrade.
Securely connect to a MongoDB DocumentDB replica set in Kubernetes using mongosh with credentials retrieved dynamically from Kubernetes secrets for direct access.
Learn the Moment Indexing Pattern to build a Video Evidence Layer using OCR and ASR that provides verifiable, timecoded answers for knowledge management.
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.
AI fails silently in safety-critical systems — classify failures and enforce safety with voting, OOD detection, and a Simplex-style deterministic override.
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.
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