AWS DevOps Blog

Category: Artificial Intelligence

Integrating with GitHub Actions – Amazon CodeGuru in your DevSecOps Pipeline

Many organizations have adopted DevOps practices to streamline and automate software delivery and IT operations. A DevOps model can be adopted without sacrificing security by using automated compliance policies, fine-grained controls, and configuration management techniques. However, one of the key challenges customers face is analyzing code and detecting any vulnerabilities in the code pipeline due […]

Proactive Insights with Amazon DevOps Guru for RDS

Today, we are pleased to announce a new Amazon DevOps Guru for RDS capability: Proactive Insights. DevOps Guru for RDS is a fully-managed service powered by machine learning (ML), that uses the data collected by RDS Performance Insights to detect and alert customers of anomalous behaviors within Amazon Aurora databases. Since its release, DevOps Guru […]

Deliver Operational Insights to Atlassian Opsgenie using DevOps Guru

As organizations continue to grow and scale their applications, the need for teams to be able to quickly and autonomously detect anomalous operational behaviors becomes increasingly important. Amazon DevOps Guru offers a fully managed AIOps service that enables you to improve application availability and resolve operational issues quickly. DevOps Guru helps ease this process by […]

Develop a serverless application in Python using Amazon CodeWhisperer

While writing code to develop applications, developers must keep up with multiple programming languages, frameworks, software libraries, and popular cloud services from providers such as AWS. Even though developers can find code snippets on developer communities, to either learn from them or repurpose the code, manually searching for the snippets with an exact or even […]

BloomIP Automatically Identifies production issues with Amazon DevOps Guru

Operational excellence is critical for BloomIP’s customers. In this post, you will see how we built a solution to automate the detection of trends and issues in production workloads by implementing Amazon DevOps Guru for our clients. BloomIP ensures your business is ready for what’s ahead, with security, scalability, performance, and cost control. We are […]

Reducing Your Organization’s Carbon Footprint with Amazon CodeGuru Profiler

It is crucial to examine every functional area when firms reorient their operations toward sustainable practices. Making informed decisions is necessary to reduce the environmental effect of an IT stack when creating, deploying, and maintaining it. To build a sustainable business for our customers and for the world we all share, we have deployed data […]

Fine-tuning Operations at Slice using AWS DevOps Guru

This guest post was authored by Sapan Jain, DevOps Engineer at Slice, and edited by Sobhan Archakam and Adnan Bilwani, at AWS. Slice empowers over 18,000 independent pizzerias with the modern tools that have grown the major restaurant chains. By uniting these small businesses with specialized technology, marketing, data insights, and shared services, Slice enables them […]

Amazon DevOps Guru increases Operational Efficiency for 605

605 is an independent TV measurement firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization, and analytical solutions, all on top of their multi-source viewership data set covering over 21 million U.S. households. 605 has built their technology solutions on AWS with dozens of accounts and tens of thousands of resources to […]

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Automating detection of security vulnerabilities and bugs in CI/CD pipelines using Amazon CodeGuru Reviewer CLI

Watts S. Humphrey, the father of Software Quality, had famously quipped, “Every business is a software business”. Software is indeed integral to any industry. The engineers who create software are also responsible for making sure that the underlying code adheres to industry and organizational standards, are performant, and are absolved of any security vulnerabilities that […]

A new Spark plugin for CPU and memory profiling

Introduction Have you ever wondered if there are low-hanging optimization opportunities to improve the performance of a Spark app? Profiling can help you gain visibility regarding the runtime characteristics of the Spark app to identify its bottlenecks and inefficiencies. We’re excited to announce the release of a new Spark plugin that enables profiling for JVM […]