Course Prerequisites
To successfully undertake training in the Advanced Kubernetes Operations course, participants should have the following minimum prerequisites:
- A solid understanding of Kubernetes basics, including pods, services, and deployments.
- Familiarity with the command-line interface (CLI) and basic shell commands.
- Experience with creating and managing containers using Docker or another container platform.
- Knowledge of YAML syntax for writing Kubernetes manifest files.
- Basic understanding of networking concepts, including TCP/IP, DNS, and firewall rules.
- Exposure to a version control system like Git.
- Some experience with Linux or Unix system administration tasks.
- An understanding of cloud computing concepts and experience with a public cloud provider such as AWS, GCP, or Azure (beneficial, but not strictly necessary).
Please note that while these prerequisites are the minimum required knowledge to take the Advanced Kubernetes Operations course, participants with additional experience in system administration, network management, and cloud-native technologies may find it easier to grasp advanced concepts discussed during the training.
Target Audience for Advanced Kubernetes Operations
The Advanced Kubernetes Operations course is aimed at IT professionals seeking to master Kubernetes in production environments.
- DevOps Engineers
- Systems Administrators
- Cloud Infrastructure Engineers
- Site Reliability Engineers (SREs)
- Software Developers with a focus on infrastructure and deployment
- IT Project Managers overseeing containerization projects
- Technical Architects designing scalable containerized ecosystems
- Security Specialists responsible for container and Kubernetes security
- Network Engineers looking to understand Kubernetes networking
- IT Professionals involved in CI/CD pipeline development and management
- Kubernetes Cluster Administrators
- Technical Support Engineers in cloud-native environments
- IT Leaders seeking to implement Kubernetes at scale
- Quality Assurance Engineers involved in deployment processes
- Application Developers with responsibilities in deployment and operations
Learning Objectives - What you will Learn in this Advanced Kubernetes Operations?
Introduction to Learning Outcomes:
The Advanced Kubernetes Operations course equips students with essential skills for deploying, monitoring, and managing production-grade Kubernetes clusters, ensuring application resilience, and implementing disaster recovery strategies.
Learning Objectives and Outcomes:
- Understand considerations for running Kubernetes in production environments, including cluster sizing, high availability, and networking requirements.
- Gain expertise in bootstrapping Kubernetes clusters with Kubespray and managing different networking components for scalability and security.
- Compare popular image registries and understand the architectures of DTR and Harbor, including security scanning and mitigation of security threats.
- Learn to instrument Kubernetes applications with health checks and resource constraints to ensure high availability and optimal resource usage.
- Implement and manage robust logging and monitoring solutions using tools like EFK (Elasticsearch, Fluentd, Kibana), Prometheus, Grafana, and Alertmanager.
- Master deployment strategies such as GitOps with Flux, blue/green deployments, and canary releases using Kubernetes and Istio for continuous delivery.
- Develop a comprehensive understanding of backups, disaster recovery planning, and cluster upgrade processes using Velero for Kubernetes.
- Package and deploy Kubernetes applications efficiently using Helm charts.
- Utilize PromQL for advanced querying and visualization of Prometheus metrics to monitor the health and performance of applications.
- Apply podDisruptionBudgets to maintain application reliability during voluntary disruptions, ensuring service continuity and resilience.
