All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. 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.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Dynatrace news. Everything is customizable.

AWS 137

AWS Metrics IoT Storage 137

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Dynatrace news. Everything is customizable.

AWS 133

AWS Metrics IoT Storage 133

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. They believe that they have reduced development time from 20 to 30 percent by having done so.

AWS 146

AWS Logistics Cloud Social Media 146

Dynatrace

AUGUST 28, 2020

To summarize the textbook definition, which originates from engineering and control theory, observability is essentially the ability to understand what is happening inside of a system from the knowledge of its external outputs. Why do you need observability? Why the three pillars of observability aren’t enough.

IoT 162

IoT Infrastructure Monitoring Innovation 162

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.

Lambda 184

Lambda AWS Serverless Hardware 184

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Higher-level twins receive events from lower-level twins in the same manner that the lowest-level twins receive events from physical devices. They combine an event handling function with state information about each device.

IoT 45

IoT Ecommerce Analytics Latency 45

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

All Things Distributed

APRIL 9, 2015

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. Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.

Lambda 122

Lambda Cloud IoT AWS 122

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Higher-level twins receive events from lower-level twins in the same manner that the lowest-level twins receive events from physical devices. They combine an event handling function with state information about each device.

IoT 40

IoT Ecommerce Analytics Latency 40

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.

IoT 113

IoT Performance Programming Performance Testing 113

All Things Distributed

NOVEMBER 13, 2018

Organizations across Italy have been using the AWS Cloud for over a decade, using AWS Regions located outside of Italy. We have offices in Rome and Milan, where we continue to help Italian customers of all sizes move to the AWS Cloud. The company decided it wanted the scalability, flexibility, and cost benefits of working in the cloud.

AWS 167

AWS Energy Automotive Traffic 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. 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

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

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. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). A few years ago, The dark mode was first introduced, but from 2020 through 2021 has gained immense popularity. said that they toggle between dark mode and light mode from the settings according to their preference. Internet of Things (IoT). How does IoT work? IoT tracking systems.

Blockchain 59

Blockchain IoT Development Serverless 59

High Scalability

MARCH 15, 2019

Know anyone who needs cloud? I wrote Explain the Cloud Like I'm 10 just for them. 300% : AWS IoT growth per year; 74% : mobile games user spending in the App store; 31.4 were using Google Cloud Storage, but given too many issues big and small over the year, we’ll be migrating to AWS S3 for storage going forward.

Internet 34

Internet Internet Scalability IoT 34

Apica

OCTOBER 29, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Cloud, on-premises, or hybrid –Users should be able to use the same test platform and scripts from the cloud, on-premises, or via a hybrid model. You can make the switch from legacy to modern investments easily with Apica. >>To

Performance Testing 40

Performance Testing Testing Performance Software 40

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Apica

APRIL 11, 2023

Businesses today use automation for everything from payroll to report generation, and they often turn to a robotic process automation (RPA) system to help. They can imitate most human interfaces with machines and can control anything from Microsoft Excel to a robotic arm in a factory.

IoT 52

IoT Benchmarking Scalability Network 52

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

JULY 14, 2015

I have heard from many of you that one of the common challenges you have is keeping DynamoDB data in sync with other data sources, such as search indexes or data warehouses. Mapbox deals with location data from all over the globe and their key focus areas have been availability and performance. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 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 63

Programming IoT Java Analytics 63

Tech News Gather

JULY 6, 2023

They offer end-to-end solutions, from concept design to deployment, ensuring exceptional user experiences. They specialize in building scalable, secure, and user-friendly mobile applications for various industries, catering to both startups and enterprises.

Mobile 52

Mobile Development Innovation Healthcare 52

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. AWS Partner Network (APN) Consulting Partners in the Nordics help customers migrate to the cloud.

AWS 116

AWS Airlines Latency Games 116

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Event streams typically combine messages from many data sources, as shown below. It’s critical to be able to prioritize the telemetry from each data source and determine within a few seconds the scope of the outages.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Event streams typically combine messages from many data sources, as shown below. It’s critical to be able to prioritize the telemetry from each data source and determine within a few seconds the scope of the outages.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Event streams typically combine messages from many data sources, as shown below. It’s critical to be able to prioritize the telemetry from each data source and determine within a few seconds the scope of the outages.

Code 52

Code Analytics Healthcare IoT 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.

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.

Analytics 52

Analytics IoT Lambda Big Data 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