Add intelligence to your developer operations

Augment your developer expertise with AI for DevOps

Why AI for DevOps?

Organizations across the globe face considerable pressure to innovate digitally to remain competitive. One of the key areas that many organizations have identified as a source of opportunity to improve their pace of innovation is their software development and operations, or DevOps. Although DevOps technology has evolved dramatically over the last few years, it is still challenging. Issues related to concurrency, security or handling of sensitive information require expert evaluation and often slip through existing mechanisms like peer code reviews and unit testing. AI for DevOps is the shift towards more automation and more proactive mechanisms that enable teams to innovate faster with confidence. Designed to augment developer’s expertise with ML capabilities, AI for DevOps is a journey from manual processes with infrequent deployments and slow innovation cycles to rapid iteration cycles with CI/CD, and automated alarming for monitoring production.

Benefits of AI for DevOps

Automatically detect and resolve operational issues

Reduce your Mean-time- to- recovery (MTTR) and improve operational performance and availability for your applications by leveraging ML-powered insights to quickly diagnose and remediate issues.

Improve code quality with continuous monitoring

Identify hard-to-find bugs, critical issues and security vulnerabilities with high accuracy, and create a baseline for successive code reviews. Leverage ml-powered recommendations to fix issues and dramatically reduce the time it takes to fix bugs before they reach customer-facing applications.

Optimize application performance and reduce cost

The more efficient your code and application is, the less costly it is to run. Developers and IT operators can use visualizations and ML-powered recommendations to fix performance issues (logging, CPU or memory issues), and reduce operational costs by up to 50% for any application running in production.

Security at scale

Empower your developers to gain confidence that the code they’re writing is secure and meets security best practices. Build automated code reviews as part of your CI/CD pipelines to find and fix code issues and security vulnerabilities at scale.

Use cases

Resolve incidents faster with an AIOps solution

Reduce the time to identify and remediate issues with Amazon DevOps Guru. The service leverages pre-trained machine learning models to correlate and group related anomalies to automate root cause analysis so that issues can be resolved quickly.

Shift code quality left

It can cost more to fix a bug, depending on how far in the software lifecycle development the bug is identified, than during the initial design phase. With Amazon CodeGuru Reviewer, you can Shift left code analysis, and enable your developers to build higher code quality and security earlier in the software lifecycle.

Locate sources of inefficient application performance

Identify where you’re spending the most cycles or time in the application. Amazon CodeGuru Profiler continuously analyzes application CPU utilization and latency characteristics and presents the analysis in an interactive flame graph that helps you visually understand which code paths consume the most resources, and uncover areas that can be optimized further.

Proactive resource management

Identify when your exhaustible resources such as memory, CPU, and disk space will exceed the provisioned capacity. Amazon DevOps Guru continuously ingests and analyzes your resources and applications that run on AWS, and helps you avoid an impending outage by creating a low noise notification in the dashboard.

Featured Solutions on AWS

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Do it yourself

With machine learning models informed by two decades of Amazon.com and AWS operational excellence, AWS AI services can provide useful insights before problems arise, helps teams be proactive, enforces best practices by default, and ultimately help you innovate faster.

Amazon DevOps Guru

Amazon DevOps Guru is an ML-powered service that makes it easy to improve an application’s operational performance and availability. DevOps Guru detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your customers.

Amazon CodeGuru

Amazon CodeGuru is a developer tool that provides intelligent recommendations to improve code quality and identify an application’s most expensive lines of code. Integrate CodeGuru into your existing software development workflow to automate code reviews during application development, continuously monitor application performance in production, provide recommendations and visual clues for improving code quality and application performance, and reduce overall cost.