Dynatrace

SEPTEMBER 30, 2021

You will learn how to use AWS services ranging from collection (for example, Amazon Kinesis and AWS IoT Core) to storage (for example, S3 + Glacier and DynamoDB) to processing (for example, AWS Lambda and Amazon ML) and beyond. Machine learning.

AWS 209

AWS Best Practices Analytics Cloud 209

All Things Distributed

JUNE 7, 2017

AWS Greengrass provides the following features: Local execution ofAWS Lambda functions written in Python 2.7 Local messaging between functions and peripherals on the device that hosts AWS Greengrass core, and also between the core and other local devices that use the AWS IoT Device SDK. and deployed down from the cloud.

AWS 120

AWS IoT Lambda Storage 120

High Scalability

AUGUST 17, 2018

coryodaniel : Rewrote an #AWS APIGateway & #lambda service that was costing us about $16000 / month in #elixir. They'll love you even more. million : lost in ATM malware hack; $1.5 They'll love you even more. million : lost in ATM malware hack; $1.5 Its running in 3 nodes that cost us about $150 / month.

Internet 105

Internet Internet Scalability Games 105

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. Here are the benefits of a comprehensive platform, with customer examples: A connected platform to sense the business environment.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

APRIL 9, 2015

Amazon Lambda. One of the most exciting technologies we have built lately at AWS is Amazon Lambda. A great example by Valentino in the AWSSummit today was the use of Lambda by Adroll to deliver real-time updates around the word to their DynamoDB instances. Today Amazon Lambda is entering General Availability.

Lambda 123

Lambda Cloud IoT AWS 123

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

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

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. There’s an inherent gap between the data that is collected, stored, and processed and the key decisions that business users make on a daily basis.

Cloud 138

Cloud Big Data AWS Analytics 138

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Key-value: Key-value databases are highly partitionable and allow horizontal scaling at levels that other types of databases cannot achieve.

Database 167

Database AWS Games Latency 167

Abhishek Tiwari

NOVEMBER 3, 2018

Here are few examples of an external client utilising the APIs exposed by a headless CMS: static site generator (SSG), single page application (SPA) (client-side as well as server-side rendering), a mobile app, a WordPress site, or an IoT device. Decoupled CMS vs. headless CMS. Headless CMSs are a subset of decoupled CMSs.

Systems 63

Systems Cache Website Network 63