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Learn how to adapt traditional software design patterns for AI/ML systems. From Factory to Observer patterns, discover AI-aware extensions that handle model versioning, retraining, and graceful fallbacks.
Learn how to combine Saga and Outbox patterns with modern techniques like idempotency keys, event sourcing, and AI-based reconciliation for robust distributed transaction management.
Learn how to combine GitOps and FinOps to automate cost governance in Kubernetes clusters. From cost-as-code to automated rollbacks, here's how to make cloud spending visible and controllable.
Modern Internal Developer Platforms (IDPs) are automating developer workflows beyond conventional CI/CD, improving velocity and governance. Here's how they work and why they matter.
Learn how modern enterprises use Policy-as-Code integrated into GitOps workflows to secure multi-tenant Kubernetes clusters with Kyverno, OPA Gatekeeper, and Argo CD.
A deep dive into using AI-Ops and predictive analytics to optimize resource allocation, HPA/VPA configurations, and node bin-packing strategies beyond traditional Kubernetes autoscaling.
How solution architects can use event sourcing as an integration backbone across hybrid and multi-cloud environments — combining Kafka, AWS EventBridge, and Azure Service Bus under a single event fabric.
How composable enterprise architecture principles are merging with AI-assisted microservice composition and dynamic orchestration — enabling self-adapting systems.
Practical engineering patterns for embedding safety checks in production AI systems. Learn about guardrails, filters, and policy-driven responses.
Learn how to build intelligent, self-healing infrastructure using Kubernetes native capabilities enhanced with AI/ML for predictive scaling, anomaly detection, and automated remediation.