Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT.

Monitoring 196

Monitoring Social Media IoT Metrics 196

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

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. AWS IoT Things Graph. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift. Amazon Inspector. Amazon Polly. Amazon Quantum Ledger Database (QLDB). Amazon Lex. Amazon Rekognition.

AWS 265

AWS Cloud IoT Database 265

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., In previous blogs , we have explored the power of the digital twin model for stateful stream-processing.

IoT 45

IoT Ecommerce Analytics Latency 45

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. 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. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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 136

Azure Serverless IoT Lambda 136

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS 202

AWS Best Practices Analytics Cloud 202

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., In previous blogs , we have explored the power of the digital twin model for stateful stream-processing.

IoT 40

IoT Ecommerce Analytics Latency 40

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. Amazon Kinesis Data Analytics. You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news. Amazon EMR.

AWS 135

AWS Metrics IoT Storage 135

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. Amazon Kinesis Data Analytics. You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news. Amazon EMR.

AWS 132

AWS Metrics IoT Storage 132

VoltDB

APRIL 25, 2024

IoT and IIoT Private networks play a pivotal role in supporting Internet of Things (IoT) and enterprise IoT use cases and initiatives, particularly those that involve edge computing and real-time data transfer. By doing so, they can take advantage of several transformative use cases.

Network 52

Network IoT Wireless Infrastructure 52

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

Dynatrace

NOVEMBER 8, 2021

A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Insight into business KPIs. QUOTE SIDEBAR _.

Artificial Intelligence 227

Artificial Intelligence Monitoring Infrastructure Cloud 227

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? Information needs to be handled in real-time, not via batch processing. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? Information needs to be handled in real-time, not via batch processing. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

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

Dynatrace

JULY 6, 2020

Let’s look at the Azure DB for MariaDB overview as an example. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Database-service views provide all the metrics you need to set up high-performance database services.

Azure 145

Azure Cloud Big Data Virtualization 145

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

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. For example, a PLM digital twin of a truck engine might describe the properties of the engine, such as its temperature and oil pressure.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. For example, a PLM digital twin of a truck engine might describe the properties of the engine, such as its temperature and oil pressure.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

For example, consider a large power grid with tens or hundreds of thousands of nodes, such as power poles, controllers, and other critical elements. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For example, consider a large power grid with tens or hundreds of thousands of nodes, such as power poles, controllers, and other critical elements. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For example, consider a large power grid with tens or hundreds of thousands of nodes, such as power poles, controllers, and other critical elements. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52

Dynatrace

JUNE 1, 2021

Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. User experience and business analytics. Endpoint monitoring to understand how mobile applications impact endpoint devices and identify issues with those devices.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. One such example is activity recognition in motion video (such as LRCN , Convnets ) which may entail running combinations of both convolutional as well as recurrent neural networks simultaneously. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

MAY 3, 2017

Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. And control is not the only change: IoT creates many new data streams that, through cloud analytics, provide companies with much deeper insight into their operations and customer engagement.

Logistics 72

Logistics IoT Analytics Innovation 72

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

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Adrian Cockcroft

FEBRUARY 13, 2023

This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example. Good example, well presented interesting new material. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost.

AWS 64

AWS Energy Architecture Programming 64

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

Dynatrace

JUNE 13, 2019

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. What Dynatrace will contribute.

IoT 45

IoT C++ Analytics Java 45

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. 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. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166