How Open Source Projects Use DevOps.
Introduction. In the fast-evolving landscape of software development, the convergence of development and operations known as DevOps has transformed how modern systems are built, delivered, and maintained. Traditionally associated with enterprise teams and corporate workflows, DevOps is often perceived as a discipline driven by organizational structure, pipelines, and infrastructure-as-code. However, there’s another domain where DevOps […]
High-Availability WordPress on EC2 + RDS (Scalable & Reliable)
Architecture Overview Designing a highly available WordPress architecture on AWS requires thoughtful separation of responsibilities across services to ensure scalability, redundancy, and performance. At the core, the setup relies on Amazon EC2 instances to run the WordPress application code, organized within an Auto Scaling Group (ASG) that dynamically adjusts the number of instances based on […]
CI/CD with AWS CodePipeline: A Complete Tutorial.
Overview. Continuous Integration and Continuous Delivery (CI/CD) is a foundational practice in modern software development that enables teams to deliver code changes more frequently and reliably. With CI/CD, developers can automate the building, testing, and deployment of their applications, reducing manual errors and accelerating release cycles. AWS provides a suite of fully managed services to […]
The Future of DevOps: Beyond CI/CD and Kubernetes.
1. AI/ML-Driven Operations (AIOps). AI/ML-Driven Operations, or AIOps, represents a major shift in how IT operations and DevOps teams manage the increasing complexity, scale, and velocity of modern software systems. As applications become more distributed and microservice-driven, traditional monitoring and incident response tools struggle to keep pace. AIOps leverages artificial intelligence and machine learning to […]
Cost Optimization in AWS: How to Reduce Your Bill by 30-50%.
1. Right-Sizing Resources. Theory: Right-sizing is a foundational principle in AWS cost optimization that revolves around aligning your cloud resources with actual usage needs, rather than estimated or inflated expectations. In the early stages of cloud adoption, teams often err on the side of caution, provisioning larger instances, higher IOPS, and more memory or storage […]
The 3 Pillars of Observability in AWS: Metrics, Logs, and Traces.
Introduction: Why Observability Matters In today’s fast-paced digital world, observability is no longer optional it’s essential. As businesses shift to cloud-native architectures, applications are increasingly built using microservices, containers, and serverless technologies. This shift brings agility and scalability but also introduces complexity. Traditional monitoring tools can no longer keep up with the dynamic, distributed nature […]
AWS Security Best Practices: Protecting Your Cloud Infrastructure.
1. The Shared Responsibility Model At the heart of AWS security lies the Shared Responsibility Model. AWS secures the infrastructure that runs its cloud services, including hardware, software, networking, and facilities. Customers are responsible for securing everything they build and run in the cloud. AWS is responsible for: In the AWS Shared Responsibility Model, Amazon […]
Deploy Your First Website on AWS in Under 30 Minutes.
Why AWS S3 for Your First Deployment? Choosing AWS S3 (Simple Storage Service) for your first website deployment is one of the smartest decisions a beginner can make. S3 is designed for simplicity, scalability, and durability, making it an ideal starting point for static websites like portfolios, blogs, or landing pages. You don’t need to […]
Zero-Cost DevOps: Building a Full Pipeline with Free Tools.
Introduction. In today’s software development landscape, speed, agility, and automation are no longer optional they’re expected. Whether you’re a solo developer shipping a passion project, a startup testing product-market fit, or a small engineering team trying to keep up with rapid iteration, the pressure to deliver fast and often is immense. That’s where DevOps comes […]
Machine Learning on AWS: Getting Started with SageMaker.
What is Amazon SageMaker? Amazon SageMaker is a fully managed machine learning (ML) service provided by Amazon Web Services (AWS) that allows developers and data scientists to quickly build, train, and deploy machine learning models at scale. It addresses the challenges of the traditional ML development lifecycle by automating and streamlining key tasks, including data […]