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Developer to Cloud & DevOps Engineer Journey

Welcome to my GitHub repository! This repository showcases my journey from a developer to a Cloud & DevOps Engineer. Here, you will find various projects, tutorials, and resources that document my progress and the skills I have acquired along the way.

About Me

I am a passionate software developer turned Cloud & DevOps Engineer with a strong background in software development, cloud computing, and DevOps practices. My journey has been fueled by a desire to streamline development workflows, improve system reliability, and ensure efficient deployment of applications.

Skills & Technologies

Programming Languages

  • Python: Automation scripts, DevOps tools, and web applications.
  • JavaScript/Node.js: Web development and server-side scripting.
  • Bash/Shell Scripting: Automation and system administration.

Cloud Platforms

  • AWS (Amazon Web Services): EC2, S3, Lambda, RDS, VPC, CloudFormation.
  • Azure: Virtual Machines, Azure Functions, Azure DevOps, ARM Templates.
  • Google Cloud Platform (GCP): Compute Engine, Cloud Storage, Kubernetes Engine.

DevOps Tools

  • Docker: Containerization of applications.
  • Kubernetes: Orchestration and management of containerized applications.
  • Terraform: Infrastructure as Code (IaC) for managing cloud resources.
  • Ansible: Configuration management and automation.
  • Jenkins: Continuous Integration and Continuous Deployment (CI/CD).

Monitoring & Logging

  • Prometheus: Monitoring and alerting.
  • Grafana: Visualization and dashboards.
  • ELK Stack (Elasticsearch, Logstash, Kibana): Centralized logging and analysis.

Version Control

  • Git: Source code management and version control.
  • GitHub: Repository hosting and collaboration.
  • GitLab: Repository hosting and collaboration.
  • BitBucket: Repository hosting and collaboration.

Projects

Automated the provisioning and management of AWS resources using Terraform and Ansible. Implemented CI/CD pipelines with Jenkins for seamless deployment.

Technologies: AWS, Terraform, Ansible, Jenkins

Developed and deployed a microservices-based application on Kubernetes. Utilized Helm for package management and Prometheus & Grafana for monitoring.

Technologies: Kubernetes, Docker, Helm, Prometheus, Grafana

Built a serverless application using AWS Lambda, API Gateway, and DynamoDB. Implemented IaC with AWS CloudFormation.

Technologies: AWS Lambda, API Gateway, DynamoDB, CloudFormation

Set up a CI/CD pipeline using Azure DevOps for a Node.js application. Integrated automated testing and deployment to Azure App Service.

Technologies: Azure DevOps, Node.js, AZure App Service, AWS

Tutorials & Articles

Certifications

  • AWS Certified Solutions Architect – Associate

Contact

Feel free to reach out to me through the following channels:

Acknowledgements

Special thanks to the open-source community and the numerous online resources that have helped me along this journey.


Thank you for visiting my repository. I hope you find the projects and resources here useful. Happy coding!


Aniket sangohi's Projects

hello-world icon hello-world

My first repository on github and lot more to come<#>

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

jekyll-theme-chirpy icon jekyll-theme-chirpy

A minimal, sidebar, responsive web design Jekyll theme, focusing on text presentation.

ml_prep icon ml_prep

Machine Learning interview prep guide

mlquestions icon mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

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