Latest Aws Articles

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.

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.

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.

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

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 already gives you horizontal scalability by creating more execution environments when more events arrive. But inside one Lambda invocation, your Python code may still spend a lot of time waiting for APIs, databases, S3, DynamoDB, Redis, or other 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 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 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.