Category: AWS Lambda

Users usually package their function code as container images when using machine learning (ML) models that are larger than 250 MB, which is the Lambda deployment package size limit for zip files. In this post, we demonstrate an approach that downloads ML models directly from Amazon S3 into your function’s memory so that you can continue packaging your function code using zip files.

Today, we’re excited to announce new capabilities that further simplify the local testing experience for Lambda functions and serverless applications through integration with LocalStack, an AWS Partner, in the AWS Toolkit for Visual Studio Code. In this post, we will show you how you can enhance your local testing experience for serverless applications with LocalStack using AWS Toolkit.

Delightful developer experience is an important part of building serverless applications efficiently, whether you’re creating an automation script or developing a complex enterprise application. While AWS Lambda has transformed modern application development in the cloud with its serverless computing model, developers spend significant time working in their local environments. They rely on familiar IDEs, debugging […]

AWS Lambda cold start latency can impact performance for latency-sensitive applications, with function initialization being the primary contributor to startup delays. Lambda SnapStart addresses this challenge by reducing cold start times from several seconds to sub-second performance for Java, Python, and .NET runtimes with minimal code changes. This post explains SnapStart’s underlying mechanisms and provides performance optimization recommendations for applications using this feature.

Imagine an AI assistant that doesn’t just respond to prompts – it reasons through goals, acts, and integrates with real-time systems. This is the promise of agentic AI. According to Gartner, by 2028 over 33% of enterprise applications will embed agentic capabilities – up from less than 1% today. While early generative AI efforts focused […]

Cold starts are an important consideration when building applications on serverless platforms. In AWS Lambda, they refer to the initialization steps that occur when a function is invoked after a period of inactivity or during rapid scale-up. While typically brief and infrequent, cold starts can introduce additional latency, making it essential to understand them, especially […]

Modern applications increasingly rely on Serverless technologies such as Amazon Web Services (AWS) Lambda to provide scalability, cost efficiency, and agility. The Serverless Applications Lens for the AWS Well-Architected Framework focuses on how to design, deploy, and architect your Serverless applications to overcome some of these challenges. Powertools for AWS Lambda is a developer toolkit that […]

This blog post discusses the AWS Lambda as orchestrator anti-pattern and how to redesign serverless solutions using AWS Step Functions with native integrations.

This post demonstrates how you can modernize legacy SOAP applications using Amazon API Gateway and AWS Lambda to create bidirectional proxy architectures that enable integration between SOAP and REST systems without disrupting existing business operations. Many organizations today face the challenge of maintaining critical business systems that were built decades ago. These legacy applications power […]

Many organizations implement intelligent document processing pipelines in order to extract meaningful insights from an increasing volume of unstructured content (such as insurance claims, loan applications and more). Traditionally, these pipelines require significant engineering efforts, as the implementation often involves using several machine learning (ML) models and orchestrating complex workflows. As organizations integrate these pipelines […]