Creating low-latency, high-volume APIs with Provisioned Concurrency

By Dustin Ward

Amazon Web Services FeedCreating low-latency, high-volume APIs with Provisioned Concurrency The AWS Lambda service runs customer code on-demand in response to events. It works by creating a new execution environment and downloading your code. This initial setup is commonly called a “cold start” and introduces latency to the total execution time of the function. Cold…

How to Proactively Monitor Amazon RDS Performance with Datadog

By Dustin Ward

Amazon Web Services FeedHow to Proactively Monitor Amazon RDS Performance with Datadog By Emily Chang, Technical Content Editor at DatadogBy Yaniv Bossem, Partner Solutions Architect at AWS Amazon Relational Database Service (Amazon RDS) automates time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It lets you scale your database with only a…

Announcing the New Version of the Well-Architected Framework

By Dustin Ward

Amazon Web Services FeedAnnouncing the New Version of the Well-Architected Framework “Nothing is constant except for change.” – Unknown We are announcing the availability of a new version of the AWS Well-Architected Framework. We’ve made changes in response to your feedback, as well as to industry trends that are becoming widely adopted. We focused on…

Create Snapshots From Any Block Storage Using EBS Direct APIs

By Dustin Ward

Amazon Web Services FeedCreate Snapshots From Any Block Storage Using EBS Direct APIs I am excited to announce you can now create Amazon Elastic Block Store (EBS) snapshots from any block storage data, such as on-premises volumes, volumes from another cloud provider, existing block data stored on Amazon Simple Storage Service (S3), or even your…

Detecting and analyzing incorrect model predictions with Amazon SageMaker Model Monitor and Debugger

By Dustin Ward

Amazon Web Services FeedDetecting and analyzing incorrect model predictions with Amazon SageMaker Model Monitor and Debugger Convolutional neural networks (CNNs) achieve state-of-the-art results in tasks such as image classification and object detection. They are used in many diverse applications, such as in autonomous driving to detect traffic signs and objects on the street, in healthcare…