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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.
Explore the evolution from REST APIs to gRPC in distributed systems, driven by performance and efficiency needs in microservices architectures.
Learn how to build intelligent, self-healing infrastructure using Kubernetes native capabilities enhanced with AI/ML for predictive scaling, anomaly detection, and automated remediation.
Learn how to build better APIs by defining contracts first. We'll cover OpenAPI for REST APIs, AsyncAPI for event-driven systems, and how to manage both effectively.
The classic testing pyramid is broken in microservices. Here's how contract testing and consumer-driven development can fix it.
How to apply hexagonal architecture principles to serverless functions while maintaining clean boundaries and avoiding vendor lock-in.
Explore how AI and Large Language Models are revolutionizing DevOps workflows, from auto-generating pipeline configurations to intelligent failure analysis and self-healing systems.
Explore how serverless GPU computing is revolutionizing AI workloads by enabling on-demand GPU access without the cost of idle infrastructure. Learn to deploy PyTorch models on AWS Lambda with GPU support.
Explore how gRPC and async APIs are revolutionizing modern software architecture, from microservices to event-driven systems.