Achieve zero-downtime deployments for Java applications on Kubernetes using rolling updates, readiness/liveness probes, and graceful shutdown strategies.
Docker Hardened Images solve the CVE problem. But CVEs aren't why containers fail in production — governance gaps are. Here's the trust architecture that closes them.
GPUStack is an open-source tool that turns a bunch of scattered GPU machines into one managed cluster for deploying AI models behind an OpenAI-compatible API.
Docker packages applications to ensure consistent and portable deployments. Kubernetes manages them with scaling, reliability, and automation in production.
Containerization with Docker and orchestration through Kubernetes enables Java backends to be deployed, scaled, managed efficiently in modern cloud-native environments.
Docker containers make Java apps portable and consistent across environments, development, and deployment, and improve s scalability and streamline CI/CD.
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.
Cosmos DB stores durable state; Redis acts as a coordination layer, enabling predictable, stateless scaling without sticky sessions, strong consistency, or high costs.
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.
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.
Why environment variables leak, how Docker Swarm secrets work, when to use HashiCorp Vault, and building a layered approach to secrets in production containers.