Managing Custom HTTP Requests in Amazon API Gateway
In this article, I guide you through the process of developing a serverless web application capable of handling custom HTTP requests and utilizing specific logic to generate varied responses. The principles discussed here are relevant for any scenario that requires adaptable control over the HTTP requests that your application receives and the responses it sends. For more insights into serverless applications, check out this other blog post that dives deeper into best practices.
Launching AWS Toolkit for Visual Studio Code
by Emma Roberts
on 11 JUL 2019
in AWS CloudFormation, AWS Lambda, Foundational (100)
Visual Studio Code has rapidly gained popularity among serverless developers, thanks in part to its user-friendly interface. The extensive collection of extensions available further enhances the development experience by allowing customization and automation. We’re thrilled to announce the AWS Toolkit for Visual Studio Code extension, which is now available and greatly improves productivity. For further reading on effective development tools, visit this authority on the topic.
Getting Started with the AWS Cloud Development Kit and Python
by Brian Smith
on 02 MAY 2019
in AWS CloudFormation, Developer Tools, Intermediate (200), Programming Language, Python
This post serves as an introduction to the new Python bindings for the AWS Cloud Development Kit (AWS CDK). You might ask, what exactly is the AWS CDK? This tool is related to the infrastructure as code (IaC) concept, which many people associate with AWS CloudFormation— a service that allows you to define your infrastructure through code.
AWS X-Ray Support for Python Web Frameworks in Serverless Applications
by Lisa White
on 27 FEB 2019
in AWS X-Ray, Python, Serverless
In this guest piece by Sam Taylor, a Software Development Engineer on the AWS X-Ray SDK Team, we announce AWS X-Ray SDK support for Python, which facilitates the instrumentation of web frameworks in serverless applications. Serverless architecture is reshaping how applications are developed and managed, making it essential to utilize the right tools for monitoring and tracing.
Chalice – Version 1.0.0 GA Release
by Mark Davis
on 31 JUL 2017
in Python
We are excited to present the 1.0.0 GA (Generally Available) release of Chalice! Chalice is an open-source serverless microframework that enables the creation and management of application backends utilizing various AWS resources, including AWS Lambda, Amazon API Gateway, AWS Identity and Access Management (IAM), Amazon Cognito, and Amazon CloudWatch.
Chalice Version 1.0.0b1 Now Available
by Sara Green
on 12 JUL 2017
in Python
We’re pleased to announce the release of Chalice version 1.0.0b1, our first preview release. Since the last update showcasing version 0.9.0, we’ve introduced a plethora of new features that we believe you will find beneficial, including support for built-in authorizers.
Chalice Version 0.9.0 is Here
by Tom Hughes
on 31 MAY 2017
in Python
The newest preview version of Chalice, our microframework for Python serverless application development, is now available. This release comes with several commonly requested features, such as support for binary content types and configuration options for AWS Lambda functions— enabling you to adjust memory limits, timeout settings, and other important parameters.
Build and Deploy a Serverless REST API in Minutes with Chalice
by Rachel Adams
on 16 MAY 2017
in Python
Chalice is a serverless microframework that simplifies the use of AWS Lambda and Amazon API Gateway to create serverless applications. Based on community feedback from GitHub, we’ve made significant enhancements to Chalice, making it a fast and efficient way to develop serverless apps.
Using Python with Amazon SQS FIFO Queues to Maintain Message Order
by Kevin Lee
on 29 MAR 2017
in Python
Thanks to our Solutions Architect, Alex Chen, for his contribution to this post! Amazon SQS is a managed message queuing service that simplifies the decoupling of application components. Recently, we introduced a new queue type— SQS FIFO (first-in, first-out) queues, which guarantee exactly-once processing and deduplication.
Chalice Version 0.6.0 is Now Available
by Megan White
on 23 FEB 2017
in Python
The latest preview version of Chalice, our microframework for Python serverless development, now includes several commonly requested features. A new Response class, chalice.Response, allows you to customize HTTP responses by defining the status code, body, and HTTP headers to return.
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