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  Azure cloud: It provides services for computing, storage, databases, AI, networking, analytics, DevOps, and enterprise applications. Azure is widely used by enterprises because of its strong integration with Windows Server, Active Directory, Microsoft 365, and .NET ecosystems. Common Use Cases Enterprise application hosting Hybrid cloud environments Windows/.NET workloads Kubernetes and container orchestration AI and Copilot integrations Data warehousing and analytics Identity and access management

  GCP Cloud: Google Cloud Platform (GCP), now branded as Google Cloud , is Google’s suite of cloud computing services. It provides infrastructure, platforms, AI tools, databases, networking, analytics, and developer services that run on the same infrastructure Google uses internally for products like Search, Gmail, and YouTube. Common Use Cases Hosting web applications Running Kubernetes clusters AI/ML model training and inference Data analytics and warehousing Mobile/backend APIs Serverless microservices Disaster recovery and backups

  AWS Cloud: Amazon Web Services (AWS) is a cloud computing platform that provides on-demand IT services like servers, storage, databases, networking, AI tools, and application hosting over the internet. It is one of the world’s largest cloud providers. Popular AWS Services EC2 – Virtual servers in the cloud S3 – Cloud storage RDS – Managed databases Lambda – Serverless computing VPC – Private cloud networking CloudFront – Content delivery network (CDN) IAM – Identity and access management EKS / ECS – Container management with Kubernetes & Docker.

  Kubernetes Kubernetes (often called K8s ) is an open-source platform used to automate deployment, scaling, and management of containerized applications. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation . Why Kubernetes Exists When applications run in containers using Docker , managing a few containers is easy. But in large systems: Hundreds of containers run together Applications need scaling Servers may fail Traffic changes constantly

  Devops DevOps is a combination of Development (Dev) and Operations (Ops) . It is a culture, set of practices, and collection of tools that help software teams: Build software faster Deploy applications reliably Automate repetitive tasks Improve collaboration between developers and IT operations The goal is to deliver software continuously with high quality. Devop lifecycle Typical DevOps stages: Plan – Requirements and project planning Develop – Coding the application Build – Compile/package code Test – Automated testing Release – Prepare deployment Deploy – Push to production Operate – Manage infrastructure Monitor – Track performance and issues