AWS Week in Review – May 16, 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! I had been on the road for the last five weeks and attended many of the AWS Summits in Europe. It was great to talk to so many of you in person. The Serverless Developer Advocates are going around many of the AWS Summits with the Serverlesspresso booth. If you attend an event that has the booth, say “Hi ” to my colleagues, and have a coffee while asking all your serverless questions. You can find all the upcoming AWS Summits in the events section at the end of this post. Last week’s launches Here…

Amazon MSK Serverless Now Generally Available–No More Capacity Planning for Your Managed Kafka Clusters

Today we are making Amazon MSK Serverless generally available to help you reduce even more the operational overhead of managing an Apache Kafka cluster by offloading the capacity planning and scaling to AWS. In May 2019, we launched Amazon Managed Streaming for Apache Kafka to help our customers stream data using Apache Kafka. Apache Kafka is an open-source platform that enables customers to capture streaming data like clickstream events, transactions, and IoT events. Apache Kafka is a common solution for decoupling applications that produce streaming data (producers) from those consuming the data (consumers). Amazon MSK makes it easy to ingest and process streaming data in real time with fully managed Apache Kafka clusters. Amazon MSK reduces the work needed to…

Amazon Aurora Serverless v2 is Generally Available: Instant Scaling for Demanding Workloads

Today we are very excited to announce that Amazon Aurora Serverless v2 is generally available for both Aurora PostgreSQL and MySQL. Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora that allows your database to scale capacity up or down based on your application’s needs. Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. It is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administrative tasks, such as hardware provisioning, database setup, patches, and backups. One of the key features of Amazon Aurora is the separation of compute and storage. As a result, they scale independently. Amazon Aurora storage automatically scales as the amount of data in your database increases. For example,…

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 you to configure many parameters for your functions, like memory allocation, provisioned concurrency, and timeouts. For many customers, finding the right balance between all those parameters to optimize the performance and availability of their functions is challenging. 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…