codeaprendiz/learn-devops

Features

• DevOps Learning Curricula - Offers a comprehensive curriculum of task-based exercises for mastering cloud infrastructure, container orchestration, and system administration.
• Automated Cluster Provisioning - Provides automated tools for provisioning hosts and installing production clusters across cloud platforms.
• Cloud Infrastructure Automation - Offers task-based exercises for mastering the deployment and management of resources across cloud providers.
• Declarative Infrastructure Provisioning - Uses declarative configuration tools to automate the provisioning of consistent infrastructure environments.
• Cloud Infrastructure Management - Offers hands-on exercises for configuring and maintaining virtual resources across cloud platforms.
• Container Cluster Deployments - Automates the installation and management of container orchestration systems across multiple nodes.
• Container Orchestration Management - Focuses on the management layer of container orchestration, including networking, storage, and resource policies.
• Container Orchestrators - Automates the deployment, scaling, and management of containerized applications across clusters of servers.
• Containerized Deployment Orchestration - Implements patterns for managing software services within isolated container environments.
• Containerized Service Orchestration - Provides utilities for deploying and managing backend services within isolated container environments.
• Infrastructure as Code - Implements repeatable scripts and templates to provision consistent computing environments.
• Declarative Configuration Management - Teaches the use of version-controlled declarative files to maintain and automate infrastructure state.
• Linux System Administration - Provides resources for managing, configuring, and maintaining the core operations of Linux-based operating systems.
• Command Line System Administration - Emphasizes command-line automation for executing administrative tasks and ensuring repeatable system operations.
• Logging and Monitoring - Provides tools for capturing, aggregating, and analyzing application logs.
• Scheduled Database Backups - Provides automated scheduling for database backups to ensure data persistence and recovery.
• Data Persistence Management - Manages the lifecycle and scheduling of data writing operations to ensure reliable storage.
• Data Resource Management - Provides standard operations for managing data entities and resources.
• Database Administration - Teaches core database administration tasks including user management, schema design, and transaction handling.
• Database Backup and Restoration - Provides capabilities for exporting database schemas and data to files and restoring them from archives.
• Database Backups - Provides utilities and procedures for creating, managing, and restoring database snapshots for disaster recovery.
• Database Backups and Restores - Provides command-line utilities for managing database records and performing backup and restoration operations.
• Database Operations - Covers administrative tasks for database engines, including schema design, backups, and performance monitoring.
• Relational Database Management Systems - Provides robust database engines that store structured information while enforcing strict data integrity.
• Remote State Backends - Configures remote backends to track infrastructure metadata and enable team collaboration.
• Auto-scaling Policies - Configures dynamic scaling policies to maintain application availability based on performance metrics.
• Cloud Management Interfaces - Provides command-line operations for managing cloud infrastructure components and service configurations.
• Database Containers - Supports running database engines within isolated container environments.
• Container Monitoring - Provides tools for gathering health status and logs from container orchestration platforms.
• Continuous Delivery Pipelines - Automates software delivery and continuous integration workflows using cloud-native tools.
• DevOps Automation Tools - Automates software delivery pipelines using cloud-native build tools and automation servers.
• Infrastructure as Code Toolkits - Provides a comprehensive guide and toolkit for automating cloud resource provisioning and configuration management using industry-standard patterns.
• Infrastructure Automation Scripts - Implements infrastructure automation scripts for provisioning users and deploying services across environments.
• Infrastructure State Management - Tracks infrastructure resource metadata in remote backends to enable team collaboration and state consistency.
• Web Server Configurations - Provides templates and management tools for configuring web server software to handle traffic, security, and site hosting.
• Containerized Web Servers - Runs web server applications inside containers with port publishing and detached mode.
• Public Service Exposers - Creates unique public web endpoints for internal services to bypass manual network configuration.
• Service Meshes - Provides infrastructure layers for managing service-to-service communication in distributed systems.
• Virtual Machine Managers - Provides training on managing local virtualization software for testing infrastructure and deployment scenarios.
• Cloud Architecture Certifications - Includes structured learning paths to prepare for professional cloud architecture and infrastructure certifications.
• Linux Command-Line Training Labs - Delivers foundational training modules focused on command-line proficiency, shell scripting, and core operating system management tasks.
• Proxy Traffic Management - Routes external requests through load balancers and reverse proxies with secure connection handling.
• Virtual Machine Image Construction - Supports building bootable disk images and runner scripts from a system specification.
• Cluster Security - Provides hands-on exercises for enforcing access controls and certificate management within containerized cluster environments.
• Dynamic Application Security Testing - Guides users through simulating external attacks against running applications to identify security vulnerabilities.
• Interactive Security Testing - Teaches runtime monitoring techniques to detect security flaws from within the application during execution.
• Identity and Access Management - Teaches the definition of granular permissions and roles to enforce security policies in cloud environments.
• Network Access Control - Defines and enforces security policies to regulate traffic flow between network entities.
• Network Security Hardening - Implements multi-layered security hardening through network policies, access controls, and automated scanning.
• Resource Quotas - Enforces configurable CPU, memory, and disk limits on isolated processes to prevent resource interference.
• Static Analysis Security Testing - Provides practical experience in analyzing source code for security vulnerabilities during the development phase.
• Container Image Vulnerability Scanners - Teaches the identification of security weaknesses in container images by comparing package versions against vulnerability databases.
• Database Performance Monitors - Provides utilities for tracking real-time database metrics, query execution times, and resource utilization.
• Distributed Systems Instrumentation - Provides capabilities for gathering operational data from distributed nodes and container engines for visibility.
• Infrastructure Observability - Provides systems for monitoring and reporting the health and status of infrastructure components.
• Monitoring and Observability - Provides comprehensive platforms and tools for collecting telemetry to gain visibility into system performance and behavior.
• Metric and Performance Monitors - Provides tools focused on the high-frequency collection and visualization of numerical performance data and system health metrics.
• Observability Pipelines - Provides systems for collecting, formatting, and routing application logs and events to centralized monitoring platforms.
• Observability Stacks - Provides integrated pipelines for collecting system logs and resource metrics across multiple nodes for centralized monitoring.

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