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 276

Serverless AWS Lambda Storage 276

Adrian Cockcroft

FEBRUARY 9, 2023

The layers of platforms start at the bottom with hardware choices such as which CPU architectures and vendors you want to use. Above that there’s a deployment platform such as Kubernetes or AWS Lambda. Talking through the map, we start with an end user who can choose a web app or a mobile app.

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

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

NOVEMBER 30, 2016

For example, they want us to help them develop chatbots that understand natural language, build Alexa-style conversational experiences for mobile apps, dynamically generate speech without using expensive voice actors, and recognize concepts and faces in images without requiring human annotators. Getting started with Rekognition is simple.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

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.

Cloud 137

Cloud Big Data AWS Analytics 137

Highly Scalable

AUGUST 20, 2013

High performance and mobility. Incremental computations over sliding windows is a group of techniques that are widely used in digital signal processing, in both software and hardware. Moreover, techniques like Lambda Architecture [6, 7] were developed and adopted to combine these solutions efficiently. Jacobsen and R.

Big Data 154

Big Data Processing Lambda Database 154