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…

AWS Week in Review – March 28, 2022

This post is part of our Week in Review series. Check back each week for a quick round up of interesting news and announcements from AWS! Welcome to another round up of the most significant AWS launches from the previous week. Among the most relevant news, we have improvements done in AWS Lambda, a new service for game developers, and we are back with the AWS Summits all around the world. Last Week’s Launches Here are some launches that got my attention during the previous week. AWS Lambda Now Supports Up to 10 GB Ephemeral Storage – This new launch allows you to configure the temporary file system capacity (/tmp) of Lambda up to 10 GB! This is very useful…