DevOps Projects

Part I: Easy

1. Dockerized Web Application Deployment with Jenkins

• 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

• Creating backend with s3 and dynamodb table.
• State Locking.
• Practice managing Terraform state and performing infrastructure changes.

3. Configuration Management with Ansible

• 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

• 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

• 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.

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Part II:

1. Automated Infrastructure Provisioning with Terraform and Python:

• 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

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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.

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How to use this repo

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