Cloud Computing_C114: Cloud-Driven DevOps with Kubernetes
About Course
- The Cloud-Driven DevOps with Kubernetes is designed to equip students with the practical knowledge and skills necessary to implement a DevOps culture and automate deployment pipelines using Kubernetes in a cloud environment.
- This program focuses on leveraging Kubernetes for container orchestration, streamlining application deployment, and integrating CI/CD workflows for continuous development and operational efficiency.
- Students will also learn best practices for managing microservices and securing cloud-native applications in a Kubernetes-based environment, preparing them for real-world scenarios where DevOps and cloud technologies converge.
Learning Objectives
After the completion of course student will be able to:
- Apply the deployment, scaling, and management of containerized applications using Kubernetes in a cloud environment, resulting in improved operational efficiency and reduced manual intervention.
- Design and implement a continuous integration and continuous deployment (CI/CD) pipeline with Kubernetes, enabling fast and reliable software delivery through the use of industry-standard tools (e.g., Jenkins, GitLab CI).
- Apply security best practices to deploy and manage secure Kubernetes clusters, including role-based access control (RBAC), container image scanning, and network policies, ensuring the integrity and safety of cloud-native applications.
- Utilize monitoring tools like Prometheus, Grafana, and ELK Stack to assess the health and performance of Kubernetes applications, driving proactive issue resolution, resource optimization, and improved uptime.
- Demonstrate to diagnose and resolve issues within Kubernetes environments using logging, metrics, and diagnostic tools, ensuring continuous operation and high availability of containerized applications in production.
Course Content
Module-I
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Topic 1: Kubernetes Architecture and Core Components
00:00 -
LO1: Define the core components of Kubernetes, including nodes, pods, and control plane elements
00:00 -
LO2: Describe the role of the API server, scheduler, and etcd in managing clusters
00:00 -
LO3: Explain how Kubernetes architecture supports scalability and resilience
00:00 -
Topic 2: Deploying and Managing Containerized Applications in Kubernetes
00:00 -
LO1: Describe the process of deploying applications using manifests and kubectl
00:00 -
LO2: Apply Kubernetes objects (Deployments, Services, ConfigMaps, Secrets) to manage applications
00:00 -
LO3: Evaluate deployment strategies (rolling updates, canary releases) for reliability and minimal downtime
00:00 -
Topic 3: Kubernetes Cluster Setup in Cloud Environments (EKS, AKS, GKE)
00:00 -
LO1: Explain how Kubernetes is provisioned in managed cloud environments
00:00 -
LO2: Compare differences among EKS, AKS, and GKE in terms of setup and management
00:00 -
LO3: Analyze cost, scalability, and performance factors when choosing a cloud provider
00:00 -
Quiz-I
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Topic 4: Auto-Scaling and Load Balancing in Kubernetes
00:00 -
LO1: Define Horizontal Pod Autoscaler and Cluster Autoscaler mechanisms
00:00 -
LO2: Analyze load balancing strategies using Kubernetes Services and Ingress
00:00 -
LO3: Evaluate the effectiveness of auto-scaling in handling varying workloads
00:00 -
Topic 5: Designing and Implementing CI/CD Pipelines with Kubernetes
00:00 -
LO1: Explain the role of CI/CD in DevOps and its integration with Kubernetes
00:00 -
LO2: Apply tools such as Jenkins, ArgoCD, or Tekton to automate deployments
00:00 -
LO3: Analyze pipeline performance for continuous integration, testing, and delivery in cloud-native workflows
00:00 -
Topic 6: Role-Based Access Control (RBAC) and Kubernetes Security Policies
00:00 -
LO1: Define RBAC concepts and their importance in Kubernetes security
00:00 -
LO2: Apply RBAC rules to manage permissions across different roles
00:00 -
LO3: Evaluate the impact of misconfigured RBAC policies on security posture
00:00 -
Quiz-II
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Topic 7: Container Image Scanning and Security Best Practices
00:00 -
LO1: Describe common vulnerabilities found in container images
00:00 -
LO2: Apply image scanning tools (eg, Trivy, Clair) to identify risks
00:00 -
LO3: Evaluate security best practices for maintaining trusted container registries
00:00 -
Topic 8: Implementing Network Policies for Kubernetes Clusters
00:00 -
LO1: Define Kubernetes network policies and their role in securing traffic
00:00 -
LO2: Apply network policies to control communication between pods and services
00:00 -
LO3: Analyze real-world use cases of network segmentation for compliance and security
00:00 -
Topic 9: Monitoring Kubernetes with Prometheus and Grafana
00:00 -
LO1: Explain the role of monitoring and observability in Kubernetes operations
00:00 -
LO2: Apply Prometheus to collect metrics and Grafana to visualize cluster performance
00:00 -
LO3: Evaluate monitoring dashboards to identify trends, anomalies, and performance bottlenecks
00:00 -
Topic 10: Final Exam Review
00:00 -
LO1: Summarize key Kubernetes concepts, including deployment, scaling, and security
00:00 -
LO2: Discuss troubleshooting methods for cluster failures, networking issues, and performance problems
00:00 -
LO3: Evaluate best practices for maintaining high availability in Kubernetes environments
00:00