https://github.com/faizan35/devops_projects_2024

https://github.com/faizan35/devops_projects_2024

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/faizan35/devops_projects_2024
• Owner: faizan35
• Created: 2024-02-10T13:00:20.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-08-02T11:22:44.000Z (5 months ago)
• Last Synced: 2024-08-02T12:54:51.609Z (5 months ago)
• Language: HCL
• Size: 30.3 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DevOps Projects

## **Part I: Easy**

#### 1. [**Dockerized Web Application Deployment with Jenkins**](./Part_I/01-Dockerized-App-Deployment-Jenkins/README.md)

- Get code from Git repository.

- Build Docker image for the web application.

- Push the Docker image to Docker Hub.

- Deploy the application by pulling the Docker image from Docker Hub.

- Trigger Jenkins pipeline automatically upon new commits to the Git repository.

#### 2. [**Terraform State Management with AWS Backend**](./Part_I/02-Terraform-State-Management-AWS-Backend/README.md)

- Creating backend with s3 and dynamodb table.

- State Locking.

- Practice managing Terraform state and performing infrastructure changes.

#### 3. [**Configuration Management with Ansible**](./Part_I/03-Configuration-Management-with-Ansible/README.md)

- Write Ansible playbooks to configure and manage software packages on remote servers.

- Practice tasks like installing packages, managing files, and restarting services using Ansible modules.

- Explore concepts like roles, variables, and conditionals in Ansible playbooks.

#### 4. [**Deploying a simple app on Kubernetes cluster**](./Part_I/04-Deploy-simple-app-Kubernetes-cluster/README.md)

- Set up a Kubernetes cluster using Kubeadm.

- Deploy a simple application (e.g., nginx) to the Kubernetes cluster.

- Practice basic Kubernetes commands like `kubectl apply`, `kubectl get pods`, `kubectl expose`, etc.

- Explore concepts like Pods, Deployments, Services, and Ingresses in Kubernetes.

#### 5. [**User Defined Terraform Modules**](./Part_I/05-Terraform-Modules/README.md)

- Define Terraform configuration files to provision AWS EC2 instances.

- Create a modularized approach by implementing a reusable Terraform module for EC2 instance provisioning.

- Provision instances tailored for different environments like development (dev) and production.

- Verify the correctness of instance provisioning and validate accessibility post-provisioning.

---

## **Part II:**

#### [1. **Automated Infrastructure Provisioning with Terraform and Python:**](./Part_II/01-Automated-Infrastructure-Provisioning-Terraform-Python/README.md)

- **Description:** Use Python scripts to automate the creation and management of infrastructure using Terraform.

- **Key Tasks:** Write Python scripts to generate Terraform configuration files, execute Terraform commands, and handle post-deployment verification.

#### [2. Setting Up a Basic Azure Infrastructure Using Terraform](./Part_II/02-Setting-Basic-Azure-Infrastructure-Using-Terraform/README.md)

---

#### 2. **CI/CD Pipeline Automation with Jenkins and Python:**

- **Description:** Develop Python scripts to automate the setup and management of Jenkins pipelines.

- **Key Tasks:** Create scripts to define Jenkins jobs, configure build triggers, and manage build artifacts.

#### 3. **Automated Cloud Resource Management:**

- **Description:** Use Boto3 for AWS, Azure SDK for Python, and Google Cloud Python client libraries to automate cloud resource management.

- **Key Tasks:** Write scripts to manage EC2 instances, S3 buckets, Azure VMs, Blob storage, GCP Compute Engine instances, and Cloud Storage.

#### 4. **Automated Monitoring and Alerting Setup:**

- **Description:** Develop Python scripts to automate the setup of monitoring tools like Prometheus and Grafana.

- **Key Tasks:** Write scripts to configure Prometheus scrape targets, create Grafana dashboards, and set up alerting rules.

#### 5. **Log Management and Analysis:**

- **Description:** Use Python to automate log collection, processing, and analysis.

- **Key Tasks:** Create scripts to collect logs from various sources, process them (e.g., filter, aggregate), and generate reports or alerts based on log data.

#### 6. **Configuration Management with Ansible and Python:**

- **Description:** Automate configuration management tasks using Ansible and Python.

- **Key Tasks:** Write custom Ansible modules in Python, develop scripts to run Ansible playbooks, and manage inventory files dynamically.

#### 7. **Container Orchestration with Kubernetes and Python:**

- **Description:** Use Python scripts to automate tasks in a Kubernetes environment.

- **Key Tasks:** Write scripts to manage Kubernetes objects (pods, services, deployments), automate rollouts and rollbacks, and monitor cluster health.

#### 8. **Automated Backup and Restore:**

- **Description:** Create Python scripts to automate the backup and restore processes for databases and file systems.

- **Key Tasks:** Write scripts to schedule backups, store backup files in cloud storage, and automate the restore process in case of data loss.

#### 9. **Security Compliance Automation:**

- **Description:** Develop Python scripts to automate security compliance checks and remediation.

- **Key Tasks:** Write scripts to scan for vulnerabilities, enforce security policies, and automate the application of security patches.

#### 10. **Automated Performance Testing:**

- **Description:** Use Python to automate performance testing of applications.

- **Key Tasks:** Develop scripts to run load tests using tools like Locust or JMeter, collect performance metrics, and generate performance reports.

## Part III:

#### 1. **Multi-Cloud Deployment and Management**

- **Project**: Implement a multi-cloud deployment strategy using Terraform to manage resources across AWS, Azure, and GCP.

- **Skills**: Multi-cloud architecture, advanced Terraform scripting, cloud provider integrations.

2. **Advanced CI/CD Pipeline with Microservices**:

   - **Project**: Build a CI/CD pipeline for a microservices architecture, incorporating automated testing, security scanning, and canary deployments using tools like Spinnaker or Argo CD.

   - **Skills**: Microservices orchestration, Spinnaker/Argo CD, automated testing and security.

3. **Service Mesh Implementation**:

   - **Project**: Deploy and manage a service mesh (e.g., Istio or Linkerd) to handle service-to-service communication in a Kubernetes environment.

   - **Skills**: Service mesh architecture, Istio/Linkerd, Kubernetes networking.

4. **Automated Compliance and Governance**:

   - **Project**: Implement an automated compliance and governance framework using tools like AWS Config, Azure Policy, and HashiCorp Sentinel.

   - **Skills**: Compliance automation, governance policies, HashiCorp Sentinel.

5. **AI/ML Model Deployment with MLOps**:

   - **Project**: Deploy and manage machine learning models in production using MLOps practices, including model monitoring and automated retraining.

   - **Skills**: MLOps, model deployment (e.g., Seldon, KFServing), monitoring and retraining pipelines.

6. **Chaos Engineering**:

   - **Project**: Implement chaos engineering practices using tools like Gremlin or Chaos Mesh to test the resilience of your infrastructure and applications.

   - **Skills**: Chaos engineering, fault injection, resilience testing.

7. **Automated Infrastructure Security**:

   - **Project**: Implement an automated security framework for your infrastructure, including vulnerability scanning, automated patching, and incident response.

   - **Skills**: Security automation, vulnerability management, incident response automation.

8. **Serverless Data Processing Pipeline**:

   - **Project**: Create a serverless data processing pipeline using AWS Lambda, Azure Functions, or Google Cloud Functions, integrated with cloud-native data services (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage).

   - **Skills**: Serverless architecture, data processing, cloud-native services.

9. **Distributed Tracing and Monitoring**:

   - **Project**: Implement distributed tracing and monitoring for a microservices architecture using tools like Jaeger or OpenTelemetry.

   - **Skills**: Distributed tracing, Jaeger/OpenTelemetry, microservices monitoring.

10. **Hybrid Cloud Architecture**:

    - **Project**: Design and implement a hybrid cloud architecture, integrating on-premises infrastructure with public cloud resources, ensuring seamless operation and management.

    - **Skills**: Hybrid cloud solutions, on-premises and cloud integration, cloud management tools.

---

## How to use this repo

```sh

git clone https://github.com/faizan35/DevOps_Projects_2024.git

```