Amazon Web Services (AWS) is a comprehensive cloud computing platform offering on-demand services such as storage, compute power, and databases. It enables businesses to scale efficiently, reduce infrastructure costs, and easily deploy applications globally. AWS supports innovation by providing flexible, reliable, and secure cloud solutions.
AWS Kinesis in Practice: How I Build Real-Time Data Pipelines on AWS
AWS Kinesis helps you move from batch to real-time. In this post, I’ll walk through how Kinesis works, the key concepts you really need to know, and a couple of real-world architectures using Kinesis for logs and IoT-style data.
I. Why real-time streaming matters
For many years, we were happy with batch:
- Every hour: export logs, run a cron job, push to S3
- Every night: run a big ETL job, load to a data warehouse
- Product teams wait until “tomorrow” for reports
Today, that’s often not enough:
I. Auto build & push Docker Image to AWS ECR with Github Actions
Introduction
Automating the build and deployment of Docker images using GitHub Actions and AWS Elastic Container Registry (ECR) significantly streamlines your software delivery process.
By integrating these powerful tools, developers benefit from reduced manual intervention, minimized errors, and accelerated deployment cycles.
GitHub Actions automates your build workflow whenever code changes, while AWS ECR securely stores and manages your container images, ensuring reliability and scalability.
In this guide, you’ll learn step-by-step how to effortlessly set up continuous integration and continuous deployment (CI/CD) to AWS ECR, maximizing your development efficiency.