Dynatrace

OCTOBER 11, 2021

Scalability is a major feature of GCF. The Cloud Functions platform enables teams to craft functional, extensible applications that run code when triggered by preset conditions or events. GCF also has relevance in IoT and file processing tasks. How Google Cloud Functions works. Avoid lock-in with open-source technologies.

Google 246

Google Cloud Serverless Azure 246

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. Upstream event sourcing was fully enabled on the producer side at around 2021–07–15 15:00 PST.

Latency 222

Latency Traffic Transportation Cloud 222

Alex Podelko

OCTOBER 3, 2017

It is only such vendor-neutral, 4-day, 5-track conference devoted completely to performance, capacity, scalability, and adjacent topics. The conference includes 80+ presentations on performance, capacity, cloud, IoT, security (and more) from best experts in these areas and several great panels. More information here. Full program.

IoT 113

IoT Performance Programming Performance Testing 113

Scalegrid

JUNE 28, 2024

It particularly stands out in several fields, such as: Telecommunications Healthcare Finance E-commerce IoT Within these domains, RabbitMQ harnesses its potential to process substantial data and manage real-time operations effectively. Components can operate independently, confident that messages will be delivered reliably.

IoT 130

IoT Healthcare Programming Open Source 130

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52

IoT Azure Analytics Serverless 52

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. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective.

Lambda 104

Lambda Cloud IoT AWS 104

All Things Distributed

MAY 10, 2016

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.

Lambda 91

Lambda Serverless AWS Architecture 91

All Things Distributed

JUNE 10, 2016

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.

Lambda 87

Lambda Serverless AWS Architecture 87

All Things Distributed

JUNE 20, 2017

After the launch of the AWS APAC (Hong Kong) Region, there will be 19 Availability Zones in Asia Pacific for customers to build flexible, scalable, secure, and highly available applications. In 2010, we opened our first AWS Region in Singapore and since then have opened additional regions: Japan, Australia, China, Korea, and India.

AWS 126

AWS Logistics Cloud Social Media 126

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. They combine an event handling function with state information about each device. Also, the use of digital twins provides automatic correlation of incoming events for each device, thereby simplifying applications.

IoT 45

IoT Ecommerce Latency Analytics 45

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. In-memory computing has the speed and scalability needed to generate responses within milliseconds, and it can evaluate and report aggregate trends every few seconds.

IoT 78

IoT Big Data Analytics Architecture 78

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. They combine an event handling function with state information about each device. Also, the use of digital twins provides automatic correlation of incoming events for each device, thereby simplifying applications.

IoT 40

IoT Ecommerce Latency Analytics 40

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

VoltDB

APRIL 25, 2024

Coverage Deploying Wi-Fi in expansive areas like airports or event venues can be complex and costly due to the need for numerous access points. In IoT applications, devices generate massive amounts of data, and organizations must be able to process it rapidly to leverage it to its full potential.

Network 52

Network IoT Wireless Infrastructure 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

Enprowess

SEPTEMBER 7, 2021

uses an event-driven and non-blocking I/O model, so it is practical and lightweight. IoT-based applications. Scalability: Applications developed with Node.js Developers are able to create scalable and fast apps suitable for all platforms due to its “learn once write anywhere” principle. Developing API. Where to Use React.

Open Source 52

Open Source Virtualization Programming Servers 52

Apica

OCTOBER 29, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Mega-scale load testing –load testing should scale up to millions of users within seconds to emulate the speed and scale of virtually any high-profile event worldwide.

Performance Testing 40

Performance Testing Testing Performance Software 40

Apica

NOVEMBER 15, 2019

To keep up with the testing demand there are a number of feature requirements needed in order to be called a modern performance testing platform: Mega-scale load testing — load testing should scale up to millions of users within seconds to emulate the speed and scale of virtually any high-profile event worldwide.

Performance Testing 40

Performance Testing Testing Performance Games 40

VoltDB

JUNE 21, 2024

When your business involves millions of small, fleeting chances to influence an event in the customer’s favor, or, in the case of something like credit card fraud prevention, stop an event from happening altogether, time is ‘of the essence’, and you may need everything to be very fast to make up for how long your AI decisions take.

Speed 52

Speed Engineering Media Java 52

VoltDB

FEBRUARY 29, 2024

HOW VOLT SOLVES LATENCY VS THROUGHPUT, WITHOUT SACRIFICES Volt Active Data is the only real-time data processing platform that combines the immediacy of event stream processing with the state-based consistency of a blazingly fast in-memory database and the decisioning intelligence of a sophisticated rules engine.

Latency 52

Latency Games Traffic Network 52

VoltDB

OCTOBER 17, 2024

Indeed, real-time decisioning has become a critical capability for automotive manufacturers looking to stay competitive in the age of AI and IoT. Respond to disruptions: Supply chain disruptions, such as natural disasters or geopolitical events, can have a significant impact on production.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Adrian Cockcroft

NOVEMBER 18, 2024

Discover how their solution saves customers hours of manual effort by automating the analysis of tens of thousands of documents to better manage investor events, report internally to executive teams, and find new investors to target. After re:Invent, I will update this post with the videos from the event, as I did last year.

AWS 98

AWS Energy Lambda Government 98