Latest AWS Articles

Amazon Relational Database Service (Amazon RDS) is an AWS managed database service that simplifies running relational databases in the cloud. Instead of installing PostgreSQL or MySQL on a virtual machine, configuring disks, scheduling backups, and managing infrastructure maintenance yourself, you c

AWS Lambda is a serverless computing service that runs application code without requiring developers to provision or manage servers. You deploy a function, configure its runtime, memory, permissions, and event sources, and AWS executes the code when it is invoked. Lambda automatically manages the un

Amazon Simple Storage Service (Amazon S3) is an AWS object storage service designed to store and retrieve data at virtually any scale. Applications use S3 to store images, videos, documents, backups, logs, datasets, and other files without managing storage servers or provisioning disk capacity in ad

Amazon Elastic Compute Cloud (Amazon EC2) is an AWS service that provides virtual servers, called instances, for running applications in the cloud. Instead of purchasing physical servers, engineers can launch virtual machines with a chosen operating system, CPU, memory, storage, and networking confi

Amazon Web Services (AWS) is a cloud computing platform that provides infrastructure and managed services for running applications, storing data, processing events, building networks, operating databases, and many other computing workloads.

Amazon ECS is often used for two common production workload types: HTTP APIs and background workers . Both run as containers, but they have different traffic patterns, scaling signals, failure modes, and operational requirements.

Amazon ECS networking is the architecture layer that controls how containers receive traffic, communicate with dependencies, stay isolated, and remain reachable during deployments. For production ECS services, networking is usually where reliability and security problems appear first.

AWS Fargate and the EC2 launch type are two ways to run Amazon ECS tasks. Both use the same ECS concepts: task definitions, tasks, services, deployments, IAM roles, networking, and load balancers. The main difference is who owns the compute layer.

Amazon ECS task definitions , tasks , services , and deployments are the core runtime model behind ECS. A task definition describes how a container should run, a task is a running copy of that definition, a service keeps tasks alive, and a deployment replaces one version with another.

Amazon Elastic Container Service , usually called Amazon ECS , is a managed container orchestration service for running containerized applications on AWS . It helps turn Docker images into production workloads by handling task scheduling, service stability, deployments, networking integration, scali

AWS Lambda execution lifecycle explains what happens from the moment a Lambda function is invoked until the function finishes and the execution environment is either reused or removed. Understanding this lifecycle helps explain cold starts , warm starts , global variable reuse , SDK client reuse , d

AWS Lambda is a serverless compute service that allows you to run code without creating or managing servers. Instead of provisioning EC2 instances, installing runtimes, configuring scaling rules, and patching operating systems, you write a function and configure when it should run.

AWS Lambda already provides horizontal concurrency by running more execution environments as request volume grows. But a single invocation can still spend most of its lifetime waiting for HTTP APIs, S3, DynamoDB, Redis, databases, or other network services.

Cloud computing replaces the traditional on-premises model , where companies had to buy, install, and maintain physical servers in their own data centers. AWS shifts this responsibility to a cloud provider, allowing developers to focus on building applications instead of managing hardware.

Amazon DynamoDB is a fully managed NoSQL key-value and document database service from AWS . It is designed for applications that need predictable low latency, high throughput, automatic scaling, and minimal database operations.