Tag: AWS Lambda

Everything fails all the time — Werner Vogels, AWS CTO At the moment of imminent failure, you want to avoid an unlucky deployment. I’ll start here with a short story that demonstrates the purpose of this post. The DevOps team has just started a database upgrade with a planned outage of 30 minutes. The team […]

Very often,  enterprise organizations strive to adopt modern DevOps practices, to focus on governance and security without sacrificing development velocity. In this guest post, Prashant Joshi, Senior Cloud Engineer at MarketAxess, explains how they use the AWS Cloud Development Kit (AWS CDK), AWS CodePipeline, and AWS CodeBuild to simplify the developer experience by dynamically provisioning […]

Amazon CodeGuru Profiler recently began providing recommendations for applications written in Python. Additionally, the new automated onboarding process for Lambda functions makes it even easier to use CodeGuru Profiler with serverless applications built on Lambda. This post highlights these new features by explaining how to set up and utilize Codeguru Profiler on an AWS Lambda function written in Python.

AWS Lambda launched support for packaging and deploying functions as container images at re:Invent 2020. In the post working with Lambda layers and extensions in container images, we demonstrated packaging Lambda Functions with layers while using container images. This post will teach you to use AWS CodePipeline to deploy docker images for microservices architecture involving […]

Developing and deploying applications rapidly to users requires a working pipeline that accepts the user code (usually via a Git repository). AWS CodeArtifact was announced in 2020. It’s a secure and scalable artifact management product that easily integrates with other AWS products and services. CodeArtifact allows you to publish, store, and view packages, list package […]

Whether you are building a data lake, a data analytics pipeline, or a simple data feed, you may have small volumes of data that need to be processed and refreshed regularly. This post shows how you can build and deploy a micro extract, transform, and load (ETL) pipeline to handle this requirement. In addition, you […]

Since the post Using AWS CodePipeline, AWS CodeBuild, and AWS Lambda for Serverless Automated UI Testing was published, things have evolved with Chrome headless and Firefox headless being supported natively. AWS Lambda now supports container images, AWS Step Functions has added support for Map state and its integration with Lambda, and AWS Fargate has enabled […]

AWS Solutions Constructs provide a library of common service patterns built on top of the AWS CDK. These multi-service patterns allow you to deploy multiple resources with a single object, resources that follow best practices by default – both independently and throughout their interaction.

Learn how to perform application build commands as part of your AWS CDK build process by using the native AWS CDK bundling functionality.

The trend of building AWS Serverless applications using AWS Lambda is increasing at an ever-rapid pace. Common use cases for AWS Lambda include data processing, real-time file processing, and extract, transform, and load (ETL) for data processing, web backends, internet of things (IoT) backends, and mobile backends. Lambda natively supports languages such as Java, Go, […]