ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. 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.,

IoT 40

IoT Ecommerce Analytics Latency 40

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. In recent years, APM has expanded to encompass cloud-native environments and distributed applications composed of microservices. Root-cause analysis. APM solutions: A primer.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. 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.

Cloud 52

Cloud Development Analytics Azure 52

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. Cloud analytics are everywhere. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

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. QAOps is a term derived by combining the two processes – the DevOps and QA into one.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

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. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.

IoT 78

IoT Analytics Big Data Architecture 78

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia.

AWS 52

AWS Energy IoT Best Practices 52

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. At-scale computing and visual analysis. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

JUNE 7, 2017

We have seen that such devices can benefit greatly from the elastic resources of the cloud. This is because data gets more valuable when it can be processed together with other data. At the same time, it can be valuable to process some data right at the source where it is generated. and deployed down from the cloud.

AWS 118

AWS IoT Lambda Storage 118

Dynatrace

AUGUST 28, 2020

However, since modern cloud environments are dynamic and constantly increasing in scale and complexity, most problems are neither known nor monitored. Metrics can originate from a variety of sources, including infrastructure, hosts, services, as well as cloud platforms and external sources.

IoT 161

IoT Infrastructure Monitoring Innovation 161

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Why cloud-native applications make APM challenging. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 Internet of Things (IoT). How does IoT work? AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

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. 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.

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. 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.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

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. Having worked with something like 70 large and small companies over the past decade, the business processes and best practices have been tested and work well.

IoT 52

IoT Best Practices AWS Media 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

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

The Morning Paper

OCTOBER 4, 2020

There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

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. A solution should have packet capture abilities that provide low-level network scraping capability, ideally producing PCAP files for analysis.

IoT 52

IoT Benchmarking Scalability Network 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

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

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

ACM Sigarch

DECEMBER 6, 2018

Orchestrate the processing flow across an end-to-end infrastructure. 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. For many IoT applications involving wireless video sensors (e.g. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 40

Programming IoT Java Analytics 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

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

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. However, the data infrastructure to collect, store and process data is geared toward developers (e.g., Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The data warehouse also persists the processed data directly into Aurora MySQL and Amazon Redshift to support both operational and analytical queries.

Database 167

Database AWS Games Latency 167

All Things Distributed

NOVEMBER 15, 2016

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Analytics 152

Analytics Availability Media Social Media 152