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Learn how Crossplane Compositions turn Kubernetes APIs into reusable platform services, and how resources, functions, and providers reconcile infrastructure.

Learn how Kubernetes Cluster API uses declarative resources and controllers to create, upgrade, and manage clusters across cloud and bare-metal platforms.

Learn how Bazel remote execution distributes build actions and uses content-addressed caches, how cache keys work, and how teams keep results correct.

Learn how gVisor isolates container workloads with a user-space kernel, how runsc integrates with Docker and Kubernetes, and when its trade-offs matter.

Learn how CI/CD jobs use OIDC workload identity federation to exchange short-lived tokens for cloud access, without storing long-lived deployment keys.

Understand how Safetensors stores model weights, why tensor-only files reduce deserialization risk, and how to inspect and load checkpoints in Python.

Understand GPU interconnect architecture: how PCIe, NVLink, and NVSwitch move data, how topology shapes multi-GPU performance, and how to inspect it.

Compare NVIDIA MIG and MPS for GPU sharing: partitioning, CUDA process concurrency, isolation trade-offs, Kubernetes allocation, and setup for AI platforms.

Learn how LLM gateways route requests across model providers, enforce shared policies, manage fallbacks, and expose controls for production AI systems.

Learn how Mixture-of-Experts models route tokens to sparse neural-network experts, how expert parallelism distributes them, and what it means for LLM inference.

Understand how ACME automates public TLS certificate issuance and renewal, how HTTP-01 and DNS-01 prove domain control, and how to operate renewals safely.

Learn how WebTransport provides browser applications with reliable streams and unreliable datagrams, when to choose it over WebSockets, and how to test it.

Learn how durable workflow engines persist progress, replay history, retry activities, and resume long-running work after worker or service failures.

Understand how KServe deploys machine-learning models on Kubernetes, including its serving resources, runtimes, model storage, autoscaling, and request routing.

Learn how KubeVirt brings virtual machines under Kubernetes control, maps VM resources to Pods, and handles storage, networking, scheduling, and operations.