Testsigma

JANUARY 7, 2022

2015 saw the trend of scriptless testing and IoT focussed methodologies. With the end of 2021, we are here after careful analysis of the market trend and the latest prioritised technologies that we believe will be important in the future. IoT automation testing. So the trend of mobile web testing came into the picture.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

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., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 45

IoT Ecommerce Latency Analytics 45

Dynatrace

SEPTEMBER 30, 2022

Much has been written about breaking down IT silos through cultural shifts and technology alignment. On the technology alignment front, the shift has been clearer, from multiple-point solutions to end-to-end observability platforms. Another is viewing IT services as an iterative product rather than a once-and-done project.

Analytics 175

Analytics Best Practices Metrics IoT 175

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., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 40

IoT Ecommerce Latency Analytics 40

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Voice Search Technology. Blockchain Technology. A Progressive web applications (PWA) are the latest trends in website development, built using standard web technologies like HTML and JavaScript. The technology has gained popularity for its possibility to propose a high-quality user experience.

Blockchain 59

Blockchain IoT Development Serverless 59

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. The technology that can do this is called in-memory computing. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

Adrian Cockcroft

NOVEMBER 26, 2023

Peter deSantis does a Monday evening technology keynote that usually has most of the sustainability related content in it. Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

NOVEMBER 8, 2021

Root-cause analysis. 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.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. Creating and managing a complicated codebase might negate the benefits of serverless technologies, but AWS Lambda eliminates this concern.

Lambda 180

Lambda AWS Serverless Hardware 180

Adrian Cockcroft

AUGUST 9, 2022

So while I have retired from corporate life, I have ideas to share, as an analyst and presenter, and needed a framework to support consulting and analysis work. Together, we can also develop and share ideas around technology trends. The group has focused on quality at the expense of size and that has led to an excellent reputation.

IoT 52

IoT Best Practices AWS Media 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

Dynatrace

JUNE 1, 2021

All these terms refer to related technology and practices. APM has rapidly expanded to encompass a broad range of technologies and use cases. Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Why businesses need APM. What does APM do?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

JUNE 7, 2017

At AWS we refer to these broad reasons as "laws" because we expect them to hold even as technology improves: Law of Physics. Local aggregation and filtering of data allows customers to send only high-value data to the cloud for storage and analysis. Law of the Land.

AWS 118

AWS IoT Lambda Storage 118

All Things Distributed

SEPTEMBER 29, 2016

As a result, more than 80 percent of companies listed on the CAC 40, the French stock market index, are now using AWS Cloud technology to speed their time-to-market, lower their costs, and support their businesses globally. We couldn’t have launched this industrial IoT project without the AWS flexibility.”.

AWS 166

AWS IoT Internet Internet 166

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. Observability becomes “always-on” and scalable, so constrained teams can do more with less.

Metrics 363

Metrics Open Source Monitoring Cloud 363

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. 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.

Logistics 52

Logistics Retail Analytics Azure 52

DZone

JULY 22, 2021

However, implementing a customized ERP solution into an already existing business needs one to ensure the quality of the technology. This is why every business, irrespective of its size, has started to lean on ERP applications to meet its resource planning goals.

Testing 265

Testing Strategy Technology Technology 265

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

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

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. The new AWS Asia Pacific (Hong Kong) Region will have three Availability Zones and be ready for customers for use in 2018.

AWS 146

AWS Logistics Cloud Social Media 146

ACM Sigarch

DECEMBER 6, 2018

To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. Architectural research in these areas remains traditionally focused on the analysis of object detection and recognition algorithms (e.g. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

JUNE 26, 2016

A region in India has been highly sought after by companies around the world who want to participate in one of the most significant economic opportunities in the world – India, a rising economy that holds tremendous promise for growth, a thriving technology hub with a rich eco-system of technology talent, and more.

AWS 90

AWS Cloud Healthcare Blockchain 90

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

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

ScaleOut Software

DECEMBER 10, 2019

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. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

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. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

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. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 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. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

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. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

All Things Distributed

MARCH 11, 2015

This technology is already being used in places like Prague and in suburbs of London. CityTouch is using the cloud as the backend technology to run the system and extract business value from large amounts of data collected from sensors installed in the street lights. Cloud Analytics enable the Industrial Internet of Things.

Analytics 135

Analytics Cloud Healthcare Retail 135

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

O'Reilly

DECEMBER 2, 2019

For the past year, 5G cell technology has generated a lot of excitement–and a lot of hype. If carriers won’t build cell towers for current technology, they aren’t likely to build even more towers for 5G. So what about industrial IoT (IIoT), and sensors that can be built into a sticker and slapped on to machinery?

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Dynatrace

JUNE 13, 2019

Data analysis within large and highly dynamic microservices environments is the biggest challenge that Application Performance Monitoring (APM) vendors face today. The real challenge is robust and effective analysis of such data. Why are we doing this?

IoT 46

IoT C++ Analytics Java 46

ScaleOut Software

AUGUST 20, 2020

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. Their analysis determines whether immediate action needs to be taken to resolve an issue (or identify an opportunity).

Cloud 52

Cloud Development Analytics Azure 52