Category: Python

This post is co-written with Dr. Geoff Ryder, Manager, at SmugMug. Introduction SmugMug operates two very large online photo platforms: SmugMug and Flickr. These platforms enable more than 100 million customers to safely store, search, share, and sell tens of billions of photos every day. However, the data science and engineering team at SmugMug and […]

We will be highlighting Projen’s powerful features that cater to various aspects of project management and development. We’ll examine how Projen enhances polyglot programming within Amazon Web Services (AWS) Cloud Development Kit constructs. We’ll also touch on its built-in support for common development tools and practices. In our previous blog, we introduced you to the […]

Amazon Q Developer is a generative artificial intelligence (AI) powered conversational assistant that can help you understand, build, extend, and operate AWS applications. You can ask questions about AWS architecture, your AWS resources, best practices, documentation, support, and more. With Amazon Q Developer in your IDE, you can write a comment in natural language that […]

A deployment pipeline typically comprises several stages such as dev, test, and prod, which ensure that changes undergo testing before reaching the production environment. To improve the reliability and stability of release processes, DevOps teams must review Infrastructure as Code (IaC) changes before applying them in production. As a result, implementing a mechanism for notification and manual approval […]

To help customers using Terraform for multi-cloud infrastructure deployment, we have introduced a new feature in the AWS Config Rule Development Kit (RDK) that allows you to export custom AWS Config rules to Terraform files so that you can deploy the RDK rules with Terraform. This blog post is a complement to the previous post […]

This post shows you how to configure CodeGuru Profiler to collect multiple applications’ profiling data into a central account and review the applications’ performance data on one dashboard.

This post announces the availability of new self-paced where you learn how to use CodeGuru Reviewer to automatically scan your code base, identify hard-to-find bugs and vulnerabilities, and get recommendations for fixing the bugs and security issues.

Understand how to automate trigger of project specific code pipeline for GitHub mono repos users. Currently, if a customer is using GitHub as a version control system and he has only one repository which contains multiple folders each for a different project, change in any file, triggers the code pipeline for the whole repository rather than for the appropriate project. With this blog, they would be able to automate trigger of appropriate pipeline based on the project folder where the file gets changed.

We are pleased to announce the GA launch of Python support in Amazon CodeGuru Reviewer, a service that helps you improve source code quality by automatically detecting hard-to-find defects. CodeGuru Reviewer is powered by program analysis and machine learning, and trained on best practices and hard-learned lessons across millions of code reviews on open-source projects […]

We are pleased to announce the launch of Python support for Amazon CodeGuru, a service for automated code reviews and application performance recommendations. CodeGuru is powered by program analysis and machine learning, and trained on best practices and hard-learned lessons across millions of code reviews and thousands of applications profiled on open-source projects and internally […]