AWS News Blog

Category: Amazon DevOps Guru

AWS Week In Review – July 18, 2022

Last week, AWS Summit New York was held in person at the Javits Center with thousands of attendees and over 100 sponsors and partners. During the keynote, Martin Beeby, AWS Principal Developer Advocate, talked about how innovations in cloud infrastructure enable customers to adapt to challenges and seize new opportunities. It included Liz Fong-Jones‘s great […]

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New — Detect and Resolve Issues Quickly with Log Anomaly Detection and Recommendations from Amazon DevOps Guru

Today, we are announcing a new feature, Log Anomaly Detection and Recommendations for Amazon DevOps Guru. With this feature, you can find anomalies throughout relevant logs within your app, and get targeted recommendations to resolve issues. Here’s a quick look at this feature: AWS launched DevOps Guru, a fully managed AIOps platform service, in December […]

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AWS Week in Review – June 27, 2022

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! It’s the beginning of a new week, and I’d like to start with a recap of the most significant AWS news from the previous 7 days. Last week was special […]

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Automatically Detect Operational Issues in Lambda Functions with Amazon DevOps Guru for Serverless

Today we are announcing Amazon DevOps Guru for Serverless, a new capability for Amazon DevOps Guru. It allows developers to improve the operational performance and availability of serverless applications. AWS pioneered the serverless computing space with the launch of AWS Lambda in 2014. Today, hundreds of thousands of customers are using AWS Lambda. Lambda allows […]

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New – Amazon DevOps Guru for RDS to Detect, Diagnose, and Resolve Amazon Aurora-Related Issues using ML

Today we are announcing Amazon DevOps Guru for RDS, a new capability for Amazon DevOps Guru. It allows developers to easily detect, diagnose, and resolve performance and operational issues in Amazon Aurora. Hundreds of thousands of customers nowadays are using Amazon Aurora because it is highly available, scalable, and durable. But as applications grow in […]

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