A Kubernetes pod may restart due to an OOMKill when the Java process exceeds the container’s memory limit. JVM memory tuning and correct resource limits prevent crashes.
Autonomous agents fail by persisting: they retry, replan, and chain tools, increasing risk, cost, and potential blast radius without strict safety controls.
AI-native platforms embed intelligence into cloud infrastructure, allowing systems to sense events, generate insights with AI, and trigger automated actions in real time.
Cosmos DB stores durable state; Redis acts as a coordination layer, enabling predictable, stateless scaling without sticky sessions, strong consistency, or high costs.
In this article, you will learn how to reliably implement post-commit actions in Spring Boot using a dedicated annotation, ensuring consistent behavior.
Agent observability is often missing in the rush to build AI agents. NeMo adds observability to AI agents, helping trace, evaluate, and debug multi-agent workflows.
Building chatbots with monolithic webhooks leads to messy if/else chains that are hard to maintain and scale. Use the Command Pattern and the State Pattern.
An Angular application assisted by AI can convert natural language requests into data queries while maintaining complete control over execution and governance.
Ensure data consistency during dual-writes by saving outgoing events to the database alongside primary data, then using a worker to relay them to a message broker.
A full walkthrough of how to set up Docker sandboxes on a local machine and how to run AI agents safely in YOLO mode without corrupting the host environment.
Choosing a base Linux image for containers is not just about the size. It is also about licensing, compatibility, update cadence, security posture, and support options.