ml-monitoring
Production-grade ML model monitoring, drift detection, and observability
mlops-basics
Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption
model-serving
Master model serving - inference optimization, scaling, deployment, edge serving
training-pipelines
Master training pipelines - orchestration, distributed training, hyperparameter tuning
cluster-admin
Master Kubernetes cluster administration, from initial setup through production management. Learn cluster installation, scaling, upgrades, and HA strategies.
cost-optimization
Kubernetes cost management, resource optimization, and FinOps practices
deployments
Master Kubernetes Deployments, StatefulSets, DaemonSets, and workload orchestration. Learn deployment patterns and container orchestration strategies.
docker-containers
Master Docker containerization, image building, optimization, and container registry management. Learn containerization best practices and image security.
gitops
Master GitOps practices, CI/CD integration, Helm charts, Kustomize, and ArgoCD. Learn modern deployment patterns and infrastructure as code.
monitoring
Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.
multi-cluster
Multi-cluster Kubernetes management, federation, and hybrid deployments
security
Master Kubernetes security, RBAC, network policies, pod security, and compliance. Learn to secure clusters and enforce access control.
service-mesh
Service mesh implementation with Istio, Linkerd for traffic management
storage-networking
Master Kubernetes storage management and networking architecture. Learn persistent storage, network policies, service discovery, and ingress routing.
troubleshooting
Kubernetes debugging, problem diagnosis, and issue resolution
asynchronous
Master asynchronous JavaScript patterns including callbacks, promises, async/await, event loop mechanics, and real-world async patterns.
data-structures
Master JavaScript objects and arrays including manipulation methods, prototypal inheritance, and complex data structure patterns.
debugging
JavaScript debugging techniques using DevTools, Node.js debugger, and advanced troubleshooting.
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