sidpalas/devops-directive-kubernetes-course
Devops Directive Kubernetes Course
This project is a comprehensive educational curriculum designed to teach the fundamentals of container orchestration and infrastructure automation. It provides a structured learning path for mastering the lifecycle management of containerized applications, covering the core concepts of declarative resource definitions, control-loop-based reconciliation, and distributed cluster state management.
The course distinguishes itself by focusing on practical, hands-on implementation of modern DevOps practices. It guides users through the integration of GitOps workflows for state synchronization, the automation of complex deployment pipelines, and the management of stateful services like database clusters. By emphasizing real-world operational tasks, it enables learners to bridge the gap between theoretical orchestration concepts and the actual maintenance of production-grade environments.
The curriculum covers a broad capability surface, including infrastructure-as-code patterns, security administration, and network traffic management. It addresses the full spectrum of cluster operations, from bootstrapping application packages and managing environment configurations to diagnosing resource issues and enforcing granular access controls.
The repository serves as a centralized resource for developers and engineers, offering modular exercises that facilitate the provisioning of both local and cloud-based orchestration environments.
Features
- Kubernetes Cluster Orchestration - Manages the lifecycle, scaling, and high availability of containerized applications across a cluster of servers.
- Docker and Kubernetes Education - Offers a comprehensive learning path for mastering container orchestration, cluster management, and infrastructure automation workflows using Kubernetes.
- Distributed Key-Value Stores - Maintains consistent cluster state and configuration across nodes using a centralized distributed key-value store.
- Automated Container Scheduling - Provides automated scheduling and distribution of containerized workloads across cluster nodes based on resource availability.
- Containerized Application Deployments - Deploys and manages multi-tier application components using standard resource manifests and automated orchestration workflows.
- Containerized Deployment Orchestration - Manages the lifecycle and distribution of containerized applications across a cluster to ensure desired state.
- Control Loops - Implements control loops to continuously monitor and maintain the desired state of the cluster environment.
- Resource Declarations - Uses declarative manifests to define and version infrastructure and application requirements for target state management.
- Distributed Workload Orchestration - Distributes containerized applications across worker nodes while maintaining desired state and resource availability.
- GitOps State Synchronization - Continuously reconciles cluster state with version-controlled configurations to eliminate manual drift.
- Infrastructure State Synchronization - Synchronizes live infrastructure state with versioned definitions to continuously reconcile configuration drift.
- Application Deployments - Orchestrates multi-service applications by managing container deployments, internal load balancing, and ingress routing.
- Kubernetes Cluster Provisioning - Deploys managed or local container orchestration environments using automated scripts for development and production.
- Workload Orchestration - Manages the lifecycle of containerized applications including deployment, scaling, and self-healing operational requirements.
- DevOps Automation Courses - Provides a structured educational curriculum for mastering infrastructure automation, continuous integration, and delivery pipelines in modern software environments.
- Cloud Native Training - Provides a structured educational curriculum for mastering container orchestration and infrastructure automation.
- Database Lifecycle Operators - Automates the lifecycle management and backup processes for stateful database clusters using dedicated operators.
- Infrastructure And Performance - Executes controlled updates for control planes and worker nodes to maintain security and platform features.
- Database Management Automation - Automates database schema versioning and migration tasks within the environment.
- Background Task Schedulers - Schedules containerized processes as one-off or recurring tasks on a defined timetable.
- Cloud Resource Provisioning - Automates the provisioning of cloud-hosted infrastructure resources through declarative manifests and control loops.
- Resource Manifest Templating - Injects variables and logic into configuration files to dynamically generate manifests based on user-defined values.
- Application Deployment - Manages the full lifecycle of application releases including installation, upgrades, rollbacks, and uninstallation.
- Automated Deployment Pipelines - Automates the end-to-end rollout of application updates across multiple environments.
- Cloud Infrastructure Integrations - Coordinates with cloud providers to manage platform-specific resources like load balancers and storage.
- Cloud Infrastructure Management - Maps cloud resources to local objects to provision and maintain infrastructure with automated drift detection.
- Networking and Connectivity - Maintains network rules and connectivity policies to facilitate communication between distributed application components.
- Cloud-Native Software Distributions - Bundles resource definitions into versioned templates to simplify the deployment of complex software stacks.
- Cluster Upgrades - Updates control plane and worker node versions by replacing node pools to ensure security and availability.
- Deployment Diagnoses - Includes automated diagnostic checks for identifying deployment and configuration issues across the full cluster stack.
- Kubernetes Application Configurations - Manages application configuration, environment variables, and sensitive credentials within containerized environments.
- Container Image Building - Automates the generation and registry push of container images upon code changes.
- Automated Image Updates - Automates image build pipelines and updates deployment manifests to reflect new versions during continuous integration.
- Container Storage Persistence - Maps host-level storage to containers to ensure data persistence beyond service lifecycles.
- Containerized Application Deployment - Orchestrates multi-tier application components to demonstrate service connectivity and persistence.
- Continuous Delivery Pipelines - Integrates continuous integration and delivery systems to automate application testing and deployment across environments.
- Custom Resource Definitions - Extends the orchestration API with custom resource types to manage specialized services and operational workflows.
- Deployment Automation - Executes complex deployment sequences through centralized task runners to ensure consistent environment setup.
- Environment Configuration Management - Applies environment-specific patches to base resource definitions using an overlay model to adapt deployments for different stages.
- Application Packaging - Bundles multiple resource definitions into versioned units with templating for customized installation.
- Custom Resource Packaging - Bundles multiple resource definitions into deployable units with custom interfaces for configuration management.
- Application Packaging Templates - Bundles application configurations into versioned, template-based packages for consistent deployment across environments.
- Infrastructure Cluster Management - Performs routine maintenance tasks including version upgrades and node management for container orchestration clusters.
- Programming Language Definitions - Enables dynamic infrastructure creation by defining resources using general-purpose programming languages.
- Database Cluster Deployments - Automates the deployment and lifecycle management of database clusters within containerized environments.
- Security Administration - Enforces security administration through granular access controls, certificate management, and network traffic protection.
- Database Deployments - Uses operators to automate the deployment and lifecycle management of database instances.
- Managed Kubernetes Deployers - Automates the provisioning and teardown of managed Kubernetes clusters across cloud providers.
- Multi-Environment Deployments - Facilitates templating and lifecycle management across environments with visual diffs between current and target states.
- Kubernetes Application Exposers - Configures network access to internal applications through service discovery and ingress management.
- Release Rollbacks and Upgrades - Manages Kubernetes application releases by tracking history and performing upgrades or rollbacks.
- Network Traffic Management - Automates the routing and management of network traffic using defined policies and gateway configurations.
- Role-Based Access Control - Implements role-based access control to restrict system actions based on user and service account roles.
- TLS Certificate Management - Automates the provisioning and renewal of TLS certificates to secure network traffic within the cluster.
- Granular Access Controls - Enforces granular access controls to manage user and service account permissions within the environment.
- Cluster Resource Isolation - Provides logical partitioning of cluster resources to separate environments and user access within shared infrastructure.
- Role-Based Access Control - Enforces granular security policies to restrict user and service account interactions with system resources.
- External API Secret Synchronizers - Synchronizes sensitive credentials from external cloud providers into the cluster to maintain secure configurations.
- Container Image Vulnerability Scanners - Provides automated scanning of container images to detect security vulnerabilities and configuration issues.
- Multi-Service Orchestrations - Deploys interconnected services including application code and databases using standardized configuration manifests.
- Application Configuration - Decouples environment-specific data from application code by externalizing configuration settings.
- Database Schema Migrations - Automates the execution of schema initialization and data migration scripts.
- Cluster Functionality Extenders - Extends cluster capabilities by integrating custom resource definitions for specialized networking and routing.
- Background Job Schedulers - Executes batch processes and recurring jobs independently of main application flows to handle non-interactive workloads.
- Operational Task Automation - Automates complex operational tasks for stateful services like database clusters using custom controllers.
- Stateful Workflow Controllers - Automates application lifecycles and operational tasks for stateful services using specialized resource definitions.
- Third-Party Application Management - Installs and manages third-party software packages using templated configuration files for simplified deployment.
