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Cloud Computing: Building Scalable Applications in the Cloud

Kelvin Agyare Yeboah
Kelvin Agyare Yeboah
Software Engineer
Dec 15, 2024
20 min read
Cloud Computing

Cloud computing has transformed how we build, deploy, and scale applications. Instead of managing physical servers, developers leverage vast, on-demand computing resources from providers like AWS, Azure, and Google Cloud. This shift enables unprecedented scalability and reliability.

Understanding Cloud Computing Models

  • Infrastructure as a Service (IaaS): Virtualized computing resources (AWS EC2, Azure VMs). You manage OS and apps.
  • Platform as a Service (PaaS): Managed platforms for apps (Heroku, Google App Engine). You manage code; platform handles infrastructure.
  • Software as a Service (SaaS): Fully managed software (Gmail, Slack).
  • Function as a Service (FaaS): Serverless compute (AWS Lambda). Runs code in response to events.

Major Cloud Providers

Amazon Web Services (AWS) dominates with the most comprehensive service catalog.

Microsoft Azure integrates seamlessly with Microsoft enterprise products.

Google Cloud Platform (GCP) excels in data analytics, ML, and Kubernetes.

Serverless Architecture

Serverless doesn't mean no servers—it means you don't manage them. Functions execute in response to events, scaling automatically from zero to thousands.

Benefits include automatic scaling and pay-per-use pricing. Challenges include "cold starts" and vendor lock-in.

Containers and Kubernetes

Containers (like Docker) package applications with dependencies, ensuring consistency. Kubernetes orchestrates containers at scale, handling deployment, scaling, and self-healing.

Cloud Storage Solutions

  • Object Storage (AWS S3): Cheap, durable storage for unstructured data (images, backups).
  • Block Storage (AWS EBS): High-performance updates (databases).
  • File Storage (AWS EFS): Shared file systems.

Security in the Cloud

Security follows the shared responsibility model: providers secure the cloud; you secure what's in the cloud.

  • Implement Identity and Access Management (IAM) with least privilege.
  • Encrypt data at rest and in transit.
  • Use Multi-Factor Authentication (MFA) everywhere.

Infrastructure as Code (IaC)

Infrastructure as Code defines infrastructure through code files (e.g., using Terraform or CloudFormation). This enables version control, automated deployments, and reproducible environments.

Conclusion: Embracing Cloud-Native

Cloud computing enables building applications that were impossible before. Success requires understanding services, architecting for failure (resilience), and managing costs. The future of software is cloud-native.

Tags
#Cloud Computing#AWS#Azure#GCP#Serverless#Kubernetes#DevOps#Infrastructure#Microservices#Cloud Architecture
Kelvin Agyare Yeboah

Written by Kelvin Agyare Yeboah

Full-stack developer and tech enthusiast passionate about building beautiful, functional, and scalable digital experiences. Sharing insights on technology, design, and personal growth.

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