Beyond Code: Crafting DevEx Journeys
In the dynamic realm of software development, where every keystroke contributes to the creation of innovative solutions, the experience of developers plays a
AWS Serverless Application Model (AWS SAM) Supports Inline Swagger and AWS CloudFormation Intrinsic Functions
The AWS Serverless Application Model (AWS SAM) has introduced several new updates to improve your serverless application development. AWS SAM extends AWS CloudFormation to provide a simplified syntax for defining the Amazon API Gateway APIs, AWS Lambda functions, and Amazon DynamoDB tables needed by your serverless application. It is available under Apache 2.0.
AWS Serverless Application Model Lambda functions, Amazon API Gateway resources, and Amazon DynamoDB tables are often used together to build serverless applications. The new AWS Serverless Application Model (AWS SAM) allows you describe all of these components using a simplified syntax that is natively supported by AWS CloudFormation.
Over the years I have found that many of our customers are managing multiple AWS accounts. This situation can arise for several reasons. Sometimes they adopt AWS incrementally and organically, with individual teams and divisions making the move to cloud computing on a decentralized basis.
We recently helped Kickstarter move their CloudFormation workflow over to Cog. Our initial focus was on making the same sorts of commands that are available via the AWS command line utility available in Cog. Moving existing CloudFormation commands to chat immediately provided some improvements: team visibility, shared configuration, and fine-grained permissions, just to name a few.
The AWS Health Tools repository empowers customers to effectively utilize AWS Health events by tapping in to the collective ingenuity and expertise of the AWS community. The repository is free, public, and hosted on an independent platform. Furthermore, the repository contains full source code, allowing you to learn and contribute.
"AWS OpsWorks for Chef Automate" Brings Full Chef Platform to AWS Customers for Fast and Secure Management of Cloud and On-Premises Infrastructure at Any Scale LAS VEGAS - December 1, 2016 - Today at AWS re:Invent 2016, Chef announced that the full capabilities of Chef's commercial platform have been integrated into a new managed service provided, supported, and backed by Amazon Web Service (AWS).
Amazon today announced a new program that will make it free for tens of thousands of Alexa developers to build and host most Alexa skills using Amazon Web Services (AWS). Many Alexa skill developers currently take advantage of the AWS Free Tier, which offers one million AWS Lambda requests and up to 750 hours of Amazon Elastic Compute Cloud (Amazon EC2) compute time per month at no charge.
Reading Time: 3 minutes In the first post of this series, we discussed how to set up continuous deployment to AWS for your Docker apps using Codeship. In the second post, we continued with a quick tutorial on deploying new Docker images to Amazon's EC2 Container Service with Codeship.
This post is the first of a series of three tutorial articles introducing a sample, tutorial project, demonstrating how to provision Kubernetes on AWS from scratch, using Terraform and Ansible. [updated after publication] Part 1 (this post): Provision the infrastructure, with Terraform. Part 2: Install and configure Kubernetes, with Ansible.
Designing AWS Lambda functions can be a frustrating experience. Each time you make a change, you have to deploy your code to AWS before you can test it. Well, my friend and I finally decided to do something about this. The end result is the Serverless Simulate Plugin.
This is part 3 of a tutorial series about programming using . Part 2 of this series can be found . The intended audience are engineers who have some experience developing server-side software, but have little or no AWS Lambda experience.
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