From CRUD to Event-Driven Graphs — Rethinking Data Flows in Modern Applications
How to replace imperative API calls with reactive data graphs using Kafka Streams, Temporal, and GraphQL subscriptions for real-time applications.
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How to replace imperative API calls with reactive data graphs using Kafka Streams, Temporal, and GraphQL subscriptions for real-time applications.
Build a declarative multi-cluster control plane using ArgoCD, Crossplane, and Kubernetes API. Learn how to manage infrastructure across AWS, Azure, and GCP with GitOps workflows.
Explore how sidecarless service meshes like Cilium and Istio Ambient Mesh are revolutionizing cloud-native networking with eBPF and kernel-level optimizations.
A deep exploration of self-healing mechanisms in multi-agent systems — how AI agents can autonomously detect, diagnose, and correct their own failures using feedback loops, LLM-driven reasoning, and vectorized memory inspection.
Learn how to apply DevOps principles to AI agent development, from prompt versioning to behavioral drift detection and automated rollback systems.
Explore how memory graphs are emerging as the most efficient way to represent evolving context between AI agents. Instead of simple vector stores, agents build and traverse dynamic knowledge graphs to reason, collaborate, and remember over time.
Exploring emerging orchestration strategies for multi-agent systems—beyond simple sequential or hierarchical chaining. Focus on dynamic, event-driven orchestration, context routing, and self-healing agent graphs.
Explore how the Policy-Based Design Pattern enables runtime adaptability and configurable behavior in modern applications, from multi-tenant SaaS to AI-driven systems.
Learn how to safely expose external tools and APIs to AI agents using function-level sandboxing and capability tokens, preventing data leaks and uncontrolled actions.
Explore how event choreography is replacing centralized orchestration in modern distributed systems, offering better scalability and autonomy for microservices.