DevOps

DevOps Expertise

I bring extensive experience in DevOps practices that bridge development and operations, enabling faster, more reliable software delivery. My expertise spans CI/CD pipelines, infrastructure automation, containerization, and monitoring solutions.

CI/CD Pipelines

• Azure DevOps Pipelines: Building and maintaining CI/CD pipelines using Azure Pipelines for .NET applications. Implementing multi-stage pipelines with build, test, and deployment stages with approvals and gates.

  Configuring build agents, using YAML pipelines for version-controlled pipeline definitions, and implementing pipeline templates for reusability. Integrating with Azure Artifacts for package management and Azure Test Plans for test automation.

• GitHub Actions: Implementing CI/CD workflows using GitHub Actions for source-controlled pipeline definitions. Using actions marketplace for reusable workflow components.

  Creating workflows for building, testing, and deploying to various environments. Using GitHub Actions for code quality checks, security scanning, and automated releases.

• Jenkins: Setting up and configuring Jenkins for continuous integration and deployment. Implementing Jenkins pipelines using declarative and scripted pipeline syntax.

  Using Jenkins plugins for build automation, deployment, and integration with various tools. Managing Jenkins infrastructure, security, and scalability.

Version Control & Source Management

• Git: Mastering Git for version control with branching strategies (Git Flow, GitHub Flow), pull requests, and code review workflows. Implementing Git hooks for automated checks and enforcing commit message standards.

  Using Git for collaborative development, managing releases, and handling merge conflicts. Implementing Git-based workflows for feature development, hotfixes, and release management.

• BitBucket & Azure Repos: Using BitBucket and Azure Repos for source code management. Implementing branch policies, pull request workflows, and code review processes.

  Configuring repository permissions, webhooks, and integrations with CI/CD pipelines. Managing code repositories for large teams and multiple projects.

Infrastructure as Code (IaC)

• ARM Templates & Bicep: Defining Azure infrastructure using ARM templates and Bicep for declarative infrastructure management. Creating reusable templates and modules for consistent deployments.

  Implementing infrastructure provisioning, updates, and decommissioning through code. Using template functions, parameters, and outputs for flexible, parameterized infrastructure.

• Terraform: Using Terraform for multi-cloud and Azure-specific infrastructure provisioning. Defining infrastructure as code with Terraform configuration files and managing state files securely.

  Creating Terraform modules for reusable infrastructure components. Managing Terraform state in remote backends (Azure Storage) and using Terraform Cloud for collaboration.

Containerization

• Docker: Creating Dockerfiles for containerizing .NET applications and services. Building, tagging, and pushing Docker images to container registries.

  Implementing multi-stage builds for optimized image sizes, using .dockerignore, and managing Docker volumes and networks. Understanding Docker layers, caching, and image optimization strategies.

• Container Orchestration: Using Azure Container Instances (ACI) and Azure Kubernetes Service (AKS) for container orchestration. Deploying containerized applications with proper scaling and health checks.

  Configuring container registries (Azure Container Registry), implementing container security scanning, and managing container lifecycle. Using Kubernetes for advanced orchestration requirements.

Monitoring & Observability

• Application Insights & Logging: Implementing Azure Application Insights for application performance monitoring, telemetry collection, and distributed tracing. Configuring custom metrics, alerts, and dashboards.

  Using structured logging with Serilog, NLog, or Application Insights SDK. Implementing correlation IDs for request tracing across microservices and analyzing application performance.

• CloudWatch & Azure Monitor: Using AWS CloudWatch and Azure Monitor for infrastructure and application monitoring. Configuring alerts, dashboards, and log analytics for proactive issue detection.

  Implementing log aggregation, metric collection, and alerting strategies. Using query languages (KQL, CloudWatch Insights) for log analysis and troubleshooting.

Deployment Strategies

• Blue-Green & Canary Deployments: Implementing blue-green deployments for zero-downtime releases. Using deployment slots in Azure App Service and feature flags for gradual rollouts.

  Implementing canary deployments for risk mitigation and gradual traffic shifting. Using load balancers and routing rules to manage traffic distribution between deployment versions.

• Automated Deployment: Automating deployments to various environments (dev, staging, production) with appropriate approvals and gates. Implementing deployment scripts and automation tools.

  Using deployment automation for database migrations, configuration management, and rollback procedures. Implementing infrastructure deployment alongside application deployment.