Masterclass Certificate in Kubernetes for Cloud
-- ViewingNowThe Masterclass Certificate in Kubernetes for Cloud is a comprehensive course that focuses on the deployment, scaling, and management of containerized applications using Kubernetes. This certification equips learners with essential skills for career advancement in cloud computing, a field that is experiencing significant growth and demand.
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GBP £ 140
GBP £ 202
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โข Introduction to Kubernetes: Understanding containers, microservices, and the need for container orchestration. Overview of Kubernetes architecture, features, and benefits.
โข Kubernetes Installation and Configuration: Installing and configuring Kubernetes on various cloud platforms (AWS, Azure, Google Cloud) and on-premises. Setting up a local development environment.
โข Core Kubernetes Concepts: Mastering Kubernetes objects (Pods, Services, Deployments, StatefulSets, DaemonSets), namespaces, labels, annotations, selectors, and controllers.
โข Networking in Kubernetes: Exploring Kubernetes network plugins, CNI, pod networking, service discovery, ingress, and egress traffic management.
โข Persistent Storage in Kubernetes: Understanding dynamic and static volume provisioning, Persistent Volume Claims, storage classes, and integrating with cloud storage services.
โข Security Best Practices: Implementing Kubernetes security contexts, network policies, RBAC, secrets management, and pod security standards.
โข Monitoring and Logging in Kubernetes: Integrating with monitoring solutions (Prometheus, Grafana), log aggregation systems (ELK, Fluentd, EFK), and tracing tools (Jaeger, Zipkin).
โข Continuous Integration and Continuous Deployment (CI/CD): Implementing CI/CD pipelines using tools like Jenkins X, Tekton, Helm, and Kustomize.
โข Kubernetes Advanced Features: Exploring advanced features such as Kubernetes Operators, Cluster API, and Kubernetes Events system.
โข Troubleshooting and Best Practices: Mastering troubleshooting techniques, best practices, and optimizing Kubernetes clusters using tools like kubectl, kubeadm, and kubefed.
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