Welcome to the DevOps Certification Project! This repository is designed to provide a thorough guide to mastering DevOps through hands-on tutorials, real-world examples, and comprehensive documentation. The project covers a wide array of essential DevOps topics, from Linux fundamentals to container orchestration, web services, cloud platforms, and advanced tools for automation and infrastructure management.
Whether you’re a beginner or an experienced DevOps engineer, this project offers valuable resources to help you build, manage, and scale modern infrastructure.
Linux serves as the foundation for most modern infrastructures. This section covers:
- Command Line Mastery: Learn essential Linux commands and navigate the filesystem.
- System Administration: Manage users, permissions, processes, and services.
- Shell Scripting: Write scripts to automate common tasks and increase system efficiency.
Understand and configure key web services for handling traffic, load balancing, and service discovery:
- Nginx: Learn how to configure Nginx as a web server and reverse proxy.
- Traefik: Explore Traefik’s dynamic routing capabilities and its integration with containers and microservices.
- HAProxy: Set up HAProxy for high availability, load balancing, and fault tolerance in your infrastructure.
- Keepalived: Learn how to implement Keepalived for high availability of network services using virtual IP addresses.
Automate routine system tasks with Bash:
- Automation with Bash: Write shell scripts to streamline processes such as backups, deployments, and monitoring.
- Advanced Scripting: Learn to manage complex scenarios with conditionals, loops, and error handling.
Learn how to build, manage, and optimize containers using Docker:
- Container Basics: Understand how to build and run containers.
- Docker Compose: Manage multi-container applications with Docker Compose.
- Container Security: Apply best practices for securing your Docker environment.
Automate configuration management, software deployment, and infrastructure orchestration with Ansible:
- Ansible Playbooks: Write reusable playbooks to automate common DevOps tasks.
- Roles and Inventories: Organize tasks into roles and manage dynamic inventories for large-scale automation.
Orchestrate containerized applications and services using Kubernetes:
Kubernetes is a powerful tool for managing and orchestrating containerized applications. This section will guide you through the essential tools and concepts to effectively deploy and manage Kubernetes clusters:
- Kubeadm: Learn how to install and configure a Kubernetes cluster using Kubeadm, the official tool for setting up production-grade Kubernetes clusters with ease.
- Kubespray: Automate the deployment and management of Kubernetes clusters using Kubespray. This tool integrates with Ansible to simplify cluster installation and configuration, ensuring that your clusters are production-ready.
- Rancher: Explore Rancher, a powerful Kubernetes management platform that provides an intuitive interface for managing multiple Kubernetes clusters. Rancher streamlines cluster administration, application deployment, and monitoring, making it ideal for managing complex environments.
- Auto Scaling: Learn how to set up Horizontal Pod Autoscalers (HPA) and Cluster Autoscalers to automatically scale your applications and infrastructure based on resource utilization. This section will help you implement dynamic scaling strategies to ensure high availability and cost efficiency.
- Scenario-Based Learning: Work through real-world scenarios to practice deploying, managing, and troubleshooting Kubernetes clusters. These scenarios mimic common challenges and use cases, allowing you to apply your Kubernetes knowledge in practical situations.
- Kubernetes Security: Understand the critical security measures required to protect your Kubernetes environments. Learn about securing communication between cluster components, setting up Role-Based Access Control (RBAC), managing secrets securely, and implementing network policies to isolate workloads. You'll also dive into security best practices for Kubernetes in production.
- Networking and Service Discovery: Set up Kubernetes networking and ingress controllers for service exposure.
- Backup and Recovery: Implement backup strategies for Kubernetes clusters.
Implement effective monitoring, logging, and tracing solutions for better system observability:
- ELK Stack (Single Node): Get started with a single-node setup of the ELK Stack (Elasticsearch, Logstash, Kibana). This configuration is ideal for smaller environments or development purposes. You'll learn how to centralize logs from multiple sources, process them with Logstash, and visualize them using Kibana.
- ELK Stack (Multi-Node): For production-level setups, you'll learn how to deploy an ELK multi-node cluster, ensuring high availability and scalability. This section will cover cluster architecture, index management, and performance tuning for handling large volumes of logs.
- Prometheus Stack: Set up the Prometheus stack for metrics collection and alerting. You'll learn to monitor system and application performance, configure Alertmanager for notifications, and visualize metrics using Grafana. This stack is essential for real-time observability and proactive issue resolution.
- Graylog Stack: Explore the Graylog stack for log management and analysis. Graylog simplifies log ingestion and searching with its user-friendly interface. This section will guide you through configuring Graylog to centralize and analyze logs from various sources in your infrastructure.
- Loki Stack: Learn how to implement Loki for scalable log aggregation. Unlike traditional log management systems, Loki is designed to work efficiently with Prometheus and stores logs as streams associated with Prometheus metrics, optimizing storage and retrieval.
- Mimir Stack: Set up Mimir, a scalable and efficient long-term storage solution for Prometheus metrics. You'll learn how to configure Mimir to store large volumes of metrics data for extended periods, ensuring you can maintain historical data without compromising performance.
- Tempo Stack: Dive into Tempo, a distributed tracing backend that integrates seamlessly with Prometheus, Loki, and Grafana. This section will help you implement tracing across microservices, enabling you to track and visualize the full lifecycle of requests through your applications for faster root cause analysis.
- Jaeger: Implement distributed tracing to analyze microservice performance.
Build robust continuous integration and delivery pipelines using GitLab CI:
- Pipeline Design: Write .gitlab-ci.yml configurations to automate building, testing, and deployment.
- Testing and Deployment: Integrate automated tests and deploy applications across multiple environments.
- Security in Pipelines: Add security scanning and compliance checks to your CI/CD pipelines.
Implement GitOps principles with Argo CD for continuous delivery in Kubernetes environments:
- GitOps Overview: Understand how Argo CD applies GitOps methodologies for automated Kubernetes deployments.
- Application Management: Automate application synchronization between Git repositories and Kubernetes clusters.
Manage infrastructure as code using Terraform:
- Resource Provisioning: Automate the creation of cloud infrastructure across AWS, Azure, OpenStack, and more.
- Modules and State: Learn how to write reusable modules and manage infrastructure state securely.
Protect your critical data with effective backup strategies:
- Kubernetes Backup: Learn how to back up and restore Kubernetes clusters using tools like Velero. This section covers the backup of cluster resources, persistent volumes, and applications, ensuring you can recover from data loss or failures quickly and effectively.
- GitLab Backup: Implement a comprehensive backup solution for GitLab. You'll learn how to back up GitLab’s repositories, CI pipelines, user data, and configurations, ensuring you can restore your GitLab instance in the event of failure or data corruption.
- Service Backup: Discover strategies for backing up critical services such as databases (MySQL, PostgreSQL, MongoDB), web servers, and file systems. This section provides practical methods for ensuring data integrity and quick restoration of your essential services.
- Server Backup: Learn how to implement server backups, focusing on full and incremental backups of the operating system, configuration files, and installed applications. You'll explore tools like rsync, Rclone, and Bacula for automating server backups.
- Disaster Recovery Planning (DRP): Develop a Disaster Recovery Plan (DRP) to ensure business continuity in the face of major incidents such as hardware failures, security breaches, or natural disasters. This section will guide you through setting up redundant infrastructure, automating failover processes, and conducting regular backup testing to verify recovery procedures.
- Ceph Backup: Implement Ceph-based storage backup for high availability and data redundancy.
OpenStack is a powerful open-source platform for building and managing cloud computing environments. It provides a comprehensive suite of services that enables organizations to create and manage private and public clouds with scalability and flexibility. Key components include:
- Nova: The compute service for managing virtual machines.
- Neutron: The networking service that provides network connectivity for instances.
- Cinder: The block storage service that allows for the provisioning of storage volumes.
- Horizon: The dashboard for managing resources and services within the OpenStack environment. With OpenStack, users can deploy virtualized infrastructure, automate resource management, and run applications in a highly available and scalable cloud environment.
Ceph is a distributed storage system designed to provide highly scalable object, block, and file-based storage under a unified system. It is ideal for cloud environments and offers several key benefits:
- Ceph Client: The Ceph client enables users to interact with the Ceph cluster, accessing storage through block devices, file systems, or object storage interfaces. It allows applications to seamlessly use Ceph storage as if it were local storage, providing flexibility for various workloads.
- Ceph Single Node: A single-node Ceph deployment is ideal for testing and development purposes. It allows users to set up a complete Ceph cluster on a single machine, enabling experimentation with all Ceph features without the complexity of a multi-node setup. This is useful for learning and understanding Ceph’s architecture and functionalities.
- Ceph Multi-Node: A multi-node Ceph deployment is designed for production environments, providing high availability and scalability. In this setup, Ceph daemons are distributed across multiple nodes, allowing for efficient data replication and fault tolerance. This section will guide you through the process of configuring a multi-node Ceph cluster for optimal performance and reliability.
MinIO is a high-performance, distributed object storage system designed for cloud-native applications. It is fully compatible with the Amazon S3 API, making it easy to integrate with various applications. Key features include:
- Scalability: MinIO can scale out to handle petabytes of data across distributed environments.
- Performance: Designed for high throughput and low-latency operations, making it suitable for big data workloads and analytics.
- S3 Compatibility: MinIO's compatibility with S3 allows users to leverage existing S3 tools and libraries for seamless integration. MinIO is ideal for developers looking for a cost-effective and efficient object storage solution for both on-premises and cloud deployments.
This project is also complemented by hands-on workshops, organized in collaboration with RahBia, where participants can dive deeper into key DevOps topics and cloud technologies. These workshops are designed to give attendees practical, real-world experience with the tools and methodologies covered in this repository:
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Session 1 - Kubernetes with Kubeadm: Learn how to deploy and configure Kubernetes clusters using Kubeadm. This workshop offers hands-on guidance through the process of setting up a production-ready Kubernetes environment.
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Session 2 -Kubernetes with Kubespray: Explore the automation of Kubernetes deployments using Kubespray. Participants will learn how to leverage Ansible for seamless installation and configuration of Kubernetes clusters in various environments.
Each workshop is designed to help you apply the knowledge from this repository in practical scenarios, giving you the confidence to deploy, scale, and manage DevOps solutions in production environments.
Clone the Repository:
git clone https://github.com/AhmadRafiee/DevOps_Certification.gitEach section contains its own folder with code examples, documentation, and tutorials. Follow the step-by-step instructions provided in each section to learn and apply the DevOps concepts.
Most sections include real-world use cases, allowing you to practice building infrastructure, writing automation scripts, and managing services in a DevOps environment.
We welcome contributions! Feel free to submit a pull request or open an issue to suggest new content or updates. Contributions could include new topics, improved documentation, or additional DevOps tools and scripts.
This project is licensed under the Apache-2.0 License. See the LICENSE file for more details.
If you find this project useful and it helps you in your DevOps journey, please consider giving it a ⭐️ on GitHub! Your support not only encourages the continuous improvement of this repository, but also helps others discover and benefit from it.
You can also contribute by opening issues or pull requests with suggestions, improvements, or new content. Every contribution helps this project grow and reach more developers in the community!
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With over 15 years of experience in DevOps and infrastructure, I have been dedicated to designing and implementing a wide range of solutions, from small services and stacks to large cloud clusters. Throughout my career, I have gained extensive knowledge in various technologies and methodologies, enabling me to tackle complex challenges effectively. I have also been passionate about sharing my expertise through teaching DevOps, empowering the next generation of professionals in the field. Additionally, I have served as a consultant on numerous projects, collaborating with diverse teams to enhance their DevOps practices and infrastructure. My commitment to continuous learning and adaptation ensures that I stay at the forefront of the rapidly evolving tech landscape, making me a valuable asset to any organization or initiative. |
