Today, we are announcing DevOps Guru for Serverless, a new capability for DevOps Guru, to help developers using Lambda automatically detect anomalous behavior at the function level and use ML-powered recommendations to remediate any issues that were detected.ĭevOps Guru for Serverless uses ML to automatically identify and analyze a wide range of performance and availability-related issues for Lambda functions, such as low provisioned concurrency or underutilization of memory. In December 2020, we announced DevOps Guru, a fully managed AIOps (Artificial Intelligence for IT operations) service that automatically detects and alerts customers about application issues and helps them to improve their applications’ availability. For many customers, finding the right balance between all those parameters to optimize the performance and availability of their functions is challenging. Lambda allows you to configure many parameters for your functions, like memory allocation, provisioned concurrency, and timeouts. Today, hundreds of thousands of customers are using AWS Lambda. It allows developers to improve the operational performance and availability of serverless applications.ĪWS pioneered the serverless computing space with the launch of AWS Lambda in 2014. Today we are announcing Amazon DevOps Guru for Serverless, a new capability for Amazon DevOps Guru.
