AWS DevOps Blog

Category: Developer Tools

Deploy .NET Blazor WebAssembly Application to AWS Amplify

AWS Amplify is a set of purpose-built tools and features that lets developers quickly and easily build CI/CD Pipeline for full-stack applications on AWS. Blazor can run your client-side C# code directly in the browser, using WebAssembly. It is a .NET running on WebAssembly, and you can reuse code and libraries from the server-side parts […]

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How MarketAxess® uses AWS Developer Tools to create scalable and secure CI/CD pipelines

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 […]

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Architecture Diagram

Integrating with GitHub Actions – CI/CD pipeline to deploy a Web App to Amazon EC2

Many Organizations adopt DevOps Practices to innovate faster by automating and streamlining the software development and infrastructure management processes. Beyond cultural adoption, DevOps also suggests following certain best practices and Continuous Integration and Continuous Delivery (CI/CD) is among the important ones to start with. CI/CD practice reduces the time it takes to release new software […]

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Building Blue/Green application deployment to Micro Focus Enterprise Server

Organizations running mainframe production workloads often follow the traditional approach of application deployment. To release new features of existing applications into production, the application is redeployed using the new version of software on the existing infrastructure. This poses the following challenges: The cutover of the application deployment from testing to production usually takes place during […]

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Automate code reviews with Amazon CodeGuru Reviewer

A common problem in software development is accidentally or unintentionally merging code with bugs, defects, or security vulnerabilities into your main branch. Finding and mitigating these faulty lines of code deployed to the production environment can cause severe outages in running applications and can cost unnecessary time and effort to fix. Amazon CodeGuru Reviewer tackles […]

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Deep learning image vector embeddings at scale using AWS Batch and CDK

Applying various transformations to images at scale is an easily parallelized and scaled task. As a Computer Vision research team at Amazon, we occasionally find that the amount of image data we are dealing with can’t be effectively computed on a single machine, but also isn’t large enough to justify running a large and potentially […]

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Parallel and dynamic SaaS deployments with AWS CDK Pipelines

Software as a Service (SaaS) is an increasingly popular business model for independent software vendors (ISVs), including benefits such as a pay-as-you-go pricing model, scalability, and availability. SaaS services can be built by using numerous architectural models. The silo model provides each tenant with dedicated resources and a shared-nothing architecture. Silo deployments also provide isolation […]

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Align with best practices while creating infrastructure using CDK Aspects

Organizations implement compliance rules for cloud infrastructure to ensure that they run the applications according to their best practices. They utilize AWS Config to determine overall compliance against the configurations specified in their internal guidelines. This is determined after the creation of cloud resources in their AWS account. This post will demonstrate how to use […]

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Target cross-platform Go builds with AWS CodeBuild Batch builds

Many different operating systems and architectures could end up as the destination for our applications. By using a AWS CodeBuild batch build, we can run builds for a Go application targeted at multiple platforms concurrently. Cross-compiling Go binaries for different platforms is as simple as setting two environment variables $GOOS and $GOARCH, regardless of the […]

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Building an InnerSource ecosystem using AWS DevOps tools

InnerSource is the term for the emerging practice of organizations adopting the open source methodology, albeit to develop proprietary software. This blog discusses the building of a model InnerSource ecosystem that leverages multiple AWS services, such as CodeBuild, CodeCommit, CodePipeline, CodeArtifact, and CodeGuru, along with other AWS services and open source tools.

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