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. Seamless ingestion of large volumes of sensed data. Advanced problem solving that connects big data with machine learning.

AWS 90

AWS Cloud Healthcare Blockchain 90

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Lambda allows developers to use NodeJS or Python while you can control nearly every detail of a REST API. Connecting IoT devices (for example, AWS IoT Device Management ).

Serverless 244

Serverless Efficiency Lambda Azure 244

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 137

Azure Serverless IoT Lambda 137

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. DynamoDB Streams.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

APRIL 9, 2015

As I wrote last week machine learning is becoming an increasingly important tool to build advanced data driven applications. Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available.

Lambda 122

Lambda Cloud IoT AWS 122

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. GCF also has relevance in IoT and file processing tasks. What is Google Cloud Functions?

Google 222

Google Cloud Serverless Azure 222

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. Take Peterborough City Council as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). So it is convenient for all to use irrespective of internet speed and it works offline using cached data. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 You can easily access these data by integrating chatbot with your CRM. Internet of Things (IoT).

Blockchain 59

Blockchain IoT Development Serverless 59

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. In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

JUNE 21, 2018

To do this, they need to be able to use multiple databases and data models within the same application. For decades because the only database choice was a relational database, no matter the shape or function of the data in the application, the data was modeled as relational.

Database 167

Database AWS Games Latency 167

Abhishek Tiwari

NOVEMBER 3, 2018

Using raw content data (such as Markdown, YAML, JSON files) and templates an SSG engine (such as Jekyll, Hugo, Gatsby, etc.) Raw content data along with templates are version controlled using Git or similar versioning systems. Raw data for each version of the website was version controlled using Git and Git Large File Storage (LFS).

Systems 63

Systems Cache Website Network 63