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

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Dynatrace

OCTOBER 11, 2021

These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis. Using GCF within a video analysis workflow. GCF also has relevance in IoT and file processing tasks.

Google 214

Google Cloud Serverless Azure 214

Dynatrace

DECEMBER 18, 2020

There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. It’s structured as a single page app (SPA) and hosted on GitHub Pages. The app pulls all of the data from GitHub and Dynatrace APIs.

Analytics 135

Analytics Metrics IoT Monitoring 135

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

MAY 19, 2020

But this approach is complex and leads to superficial analysis in real time, forcing telemetry to be logged into a data lake for later analysis using Spark or other tools. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

But this approach is complex and leads to superficial analysis in real time, forcing telemetry to be logged into a data lake for later analysis using Spark or other tools. Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed.

Logistics 52

Logistics IoT Analytics Azure 52

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). With Amazon ML there is no setup cost and you pay as you go, so you can start small and scale as your application grows.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

OCTOBER 7, 2015

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. We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps.

Cloud 137

Cloud Big Data AWS Analytics 137

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. How does IoT work? IoT tracking systems.

Blockchain 59

Blockchain IoT Development Serverless 59

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Cloud-native apps also produce many kinds of data. APM’s many forms.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

APRIL 4, 2017

After migrating, database queries that took six seconds now take three seconds in their AWS infrastructure. After finding it cost prohibitive to use colocation centers in local markets where their users are based, iZettle decided to give up hardware. That’s 100% faster.

AWS 116

AWS Airlines Latency Games 116

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

Alex Russell

APRIL 29, 2021

Allows Bluetooth Low Energy devices to safely communicate with web apps, eliminating the need to download heavyweight applications to configure individual IoT devices. Particularly important in industrial, IoT, health care, and education scenarios. Important in videoconferencing, commerce, and IoT setup scenarios. Web Serial.

Media 145

Media Games Education Engineering 145

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. Enter Amazon QuickSight. Getting started with QuickSight is simple.

Analytics 152

Analytics Availability Media Social Media 152