Latest Serverless 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.

AWS Lambda is event-driven by design. A Lambda function usually does not run by itself. It runs because something invokes it: an HTTP request, uploaded file, queue message, database stream record, schedule, or event from another AWS service.

AWS Lambda cold starts are one of the most discussed topics in serverless architecture. A cold start happens when AWS Lambda needs to create a new execution environment before running your function. This extra initialization time can increase latency, especially for user-facing APIs.

AWS Lambda is easy to start with, but production Lambda systems require more than writing a handler function. You need to think about idempotency , retries , timeouts , IAM permissions , database connections , observability , deployment strategy , and downstream limits .

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 often introduced as a simple way to run code without managing servers. But in real production systems, Lambda is rarely used alone. It usually becomes part of a larger architecture with API Gateway , SQS , SNS , EventBridge , DynamoDB , S3 , Step Functions , and other AWS services.

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.

Choosing a cloud compute model determines far more than where application code executes. It affects deployment speed, isolation, scaling behavior, startup latency, infrastructure control, operational workload, and cost .

AWS Lambda performance optimization is not only about cold starts. A slow Lambda function can be caused by heavy dependencies, poor memory configuration, slow network calls, database connection problems, inefficient batch settings, or downstream systems that cannot handle Lambda concurrency.