AI-driven development is outpacing security teams. This piece examines where AI-powered security actually help, where they fail, and how teams can use them responsibly.
Microservices introduce distributed-systems complexity most teams underestimate: failures, coordination drag, observability sprawl, and ballooning costs.
Agent identity and its audit history will enforce zero-trust access for agents based on both identity and past behavior. This makes agent access more secure and reliable.
Retrieval-Augmented Generation (RAG) is transforming enterprise AI by bridging the gap between general-purpose language models and organization-specific knowledge.
Keep GenAI cheap and fast: cache aggressively, route models by confidence, cap tokens and tools, compress context, and monitor cost per successful outcome.
Modify URI-based API versioning to use date-based versions, easing operations, ensuring immutability, and also separating core logic from API responses.
The blog introduces you to the four pillars of observability, AWS and Azure cloud-native services, and ROI to help in architects and engineer's quest for system clarity.
Agile teams often produce more reports than they need. This article explains how reporting overload happens and provides steps to build a high-value reporting system.
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