Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Lambda functions can be written in the language of your choice, and the service also supports container tools. Simplicity. Improving data processing.

Serverless 269

Serverless AWS Lambda Storage 269

Adrian Cockcroft

FEBRUARY 9, 2023

Picture by Adrian — Ka’anapali sunset 2023 There’s been a lot of discussion about platforms recently, I talked about why I think it’s a current hot meme on the WTF Podcast with Charles Humble recently, and Sam Newman just wrote a blog post “ Don’t call it a platform ”. Above that there’s a deployment platform such as Kubernetes or AWS Lambda.

Engineering 137

Engineering Serverless Lambda AWS 137

Dynatrace

JUNE 30, 2020

Dynatrace Real User Monitoring (RUM) allows you to monitor your real end users (web, mobile, kiosks, cars, smart gadgets etc). Thanks to Dynatrace AIOps this problem was detected automatically and routed to a remediation action Stephan implemented using AWS Lambda.

Lambda 174

Lambda Monitoring Cloud DevOps 174

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Lambda and DynamoDB take care of the rest. Let me expand on each one of them.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. Customers also use a variety of different tools, including Amazon EMR for Hadoop, Amazon Machine Learning, AWS Data Pipeline, and AWS Lambda to process and analyze their data. What our customers are saying about QuickSight.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

NOVEMBER 30, 2016

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. We also have a great deal of machine learning technology that can benefit machine scientists and developers working outside Amazon.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165