AWS DevOps Blog
Category: Artificial Intelligence
Anomaly Detection in AWS Lambda using Amazon DevOps Guru’s ML-powered insights
Critical business applications are monitored in order to prevent anomalies from negatively impacting their operational performance and availability. Amazon DevOps Guru is a Machine Learning (ML) powered solution that aids operations by detecting anomalous behavior and providing insights and recommendations for how to address the root cause before it impacts the customer. This post demonstrates how Amazon […]
Detect Python and Java code security vulnerabilities with Amazon CodeGuru Reviewer
with Aaron Friedman (Principal PM-T for xGuru services) Amazon CodeGuru is a developer tool that uses machine learning and automated reasoning to catch hard to find defects and security vulnerabilities in application code. The purpose of this blog is to show how new CodeGuru Reviewer features help improve the security posture of your Python applications […]
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.
How Amazon CodeGuru Reviewer helps Gridium maintain a high quality codebase
Gridium creates software that lets people run commercial buildings at a lower cost and with less energy. Currently, half of the world lives in cities. Soon, nearly 70% will, while buildings utilize 40% of the world’s electricity. In the U.S. alone, commercial real estate value tops one trillion dollars. Furthermore, much of this asset class […]
Finding code inconsistencies using Amazon CodeGuru Reviewer
Here we are introducing the inconsistency detector for Java in Amazon CodeGuru Reviewer. CodeGuru Reviewer automatically analyzes pull requests (created in supported repositories such as AWS CodeCommit, GitHub, GitHub Enterprise, and Bitbucket) and generates recommendations for improving code quality. The Inconsistency Principle Software is repetitive, so it’s possible to mine usage specifications from the mining […]
Improve the performance of Lambda applications with Amazon CodeGuru Profiler
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.
Building a centralized Amazon CodeGuru Profiler dashboard for multi-account scenarios
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.
Introducing new self-paced courses to improve Java and Python code quality with Amazon CodeGuru
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.
How Amazon CodeGuru Profiler helps Coursera create high-quality online learning experiences
This guest post was authored by Rana Ahsan and Chris Liu, Software Engineers at Coursera, and edited by Dave Sanderson and Adnan Bilwani, at AWS. Coursera was launched in 2012 by two Stanford Computer Science professors, Daphne Koller and Andrew Ng, with a vision of providing universal access to world-class learning. It’s now one of […]
Python support GA: improving Python code quality using Amazon CodeGuru Reviewer
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 […]