DevOps is a combination of "Development" and "Operations"—a set of practices, tools, and a cultural mindset that aims to shorten the software development lifecycle and deliver high-quality software continuously.
It focuses on collaboration between software developers (Dev) and IT operations teams (Ops) to automate and integrate the processes of software development, testing, deployment, and monitoring.
The DevOps lifecycle is often represented as an infinity loop, showing how each phase is connected:
Plan – Define features and requirements.
Develop – Write and review code.
Build – Compile the code and create builds.
Test – Automatically test for bugs and issues.
Release – Prepare the software for deployment.
Deploy – Launch the application to production.
Operate – Keep the app running and available.
Monitor – Track performance and gather feedback.
| Stage | Tools Used |
|---|---|
| Plan | Jira, Trello |
| Develop | Git, GitHub, GitLab |
| Build | Jenkins, Maven, Gradle |
| Test | Selenium, JUnit, TestNG |
| Release | Jenkins, GitLab CI/CD |
| Deploy | Docker, Kubernetes, Ansible |
| Operate | Kubernetes, Terraform |
| Monitor | Prometheus, Grafana, Datadog |
Automation – From testing to deployment, automate as much as possible.
Continuous Integration (CI) – Automatically test and integrate code changes.
Continuous Delivery/Deployment (CD) – Frequently release updates to users.
Collaboration – Break down silos between teams.
Monitoring & Feedback – Constantly analyze performance to improve.
Faster software releases.
More stable operating environments.
Better product quality.
Faster recovery from failures.
Increased team collaboration and efficiency.
Think of DevOps as the bridge between rapid development and reliable IT operations—a mindset shift, not just a set of tools.
AWS (Amazon Web Services) is a cloud computing platform provided by Amazon that offers on-demand IT services over the internet—like servers, storage, databases, networking, software, and more.
Instead of owning physical data centers or servers, companies can rent computing power and services from AWS and scale as needed. It’s widely used by startups, enterprises, and even governments.
Here’s a quick look at some core categories of AWS services:
| Category | Example Services | Purpose |
|---|---|---|
| Compute | EC2, Lambda, Elastic Beanstalk | Run applications and workloads |
| Storage | S3, EBS, Glacier | Store files, backups, and data |
| Database | RDS, DynamoDB, Aurora | Manage relational or NoSQL databases |
| Networking | VPC, Route 53, CloudFront | Control traffic, routing, content delivery |
| Security | IAM, KMS, Shield | Manage access, encryption, and protection |
| Machine Learning | SageMaker, Rekognition | Build and deploy ML models |
| DevOps & Tools | CodeDeploy, CloudWatch, CloudFormation | Automate deployments and monitoring |
IaaS (Infrastructure as a Service)
– Rent virtual servers, storage, and networking (e.g., EC2).
PaaS (Platform as a Service)
– Use a managed platform to build and deploy apps (e.g., Elastic Beanstalk).
SaaS (Software as a Service)
– Use ready-made software via the cloud (e.g., AWS WorkMail).
Scalable – Easily go from one user to millions.
Cost-Efficient – Pay only for what you use.
Reliable – Highly available and secure.
Global Reach – Data centers all over the world.
Flexible – Supports almost every platform and tech stack.
Hosting websites and apps
Running big data analytics
Machine learning and AI
Game development
Internet of Things (IoT)
Backup and disaster recovery
Whether you're a solo developer or a massive enterprise, AWS makes it easier to build and scale digital products.
