SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. linker version.

IoT 61

IoT Servers Development Cache 61

Dynatrace

MAY 17, 2019

The value of Davis, the Dynatrace AI causation engine, is built upon the quality of the data we collect. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub. Dynatrace drives a new set of W3C standards to tackle known limitations.

Azure 149

Azure Open Source Transportation IoT 149

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

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. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). So it is convenient for all to use irrespective of internet speed and it works offline using cached data. According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 You can easily access these data by integrating chatbot with your CRM. Internet of Things (IoT).

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. To address these challenges and countless others like them, we need autonomous, deep introspection on incoming data as it arrives and immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A major challenge for stream-processing applications that track numerous data sources in real time is to analyze telemetry relevant to each specific data source and combine this with dynamic, contextual information about the data source to enable immediate action when necessary. Sign up to use the service here.

Logistics 52

Logistics IoT 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 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

AUGUST 20, 2020

The ScaleOut Digital Twin Streaming Service offers an exciting new approach to streaming analytics in applications that track large numbers of data sources and need to maximize responsiveness and situational awareness. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

The ScaleOut Digital Twin Streaming Service offers an exciting new approach to streaming analytics in applications that track large numbers of data sources and need to maximize responsiveness and situational awareness. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52

Cloud Development Analytics Azure 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. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

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. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Each of these microservices exists for a very short period and generates its own telemetry data, adding to the overall signal noise. Dynatrace news. APM tools vs. APM platforms.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

JULY 6, 2021

This data would be collated and authored in a Web Content Management System (WCMS) by a content editor. Data centre locations. With a headless CMS, content is provided to different channels such as web, mobile, social, no-UI smart devices, IoT devices and even non-digital touchpoints such as a bricks-and-mortar shopfront.

Cache 143

Cache Website Mobile Google 143

ScaleOut Software

JUNE 15, 2020

thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

Abhishek Tiwari

NOVEMBER 3, 2018

Using raw content data (such as Markdown, YAML, JSON files) and templates an SSG engine (such as Jekyll, Hugo, Gatsby, etc.) Raw content data along with templates are version controlled using Git or similar versioning systems. Raw data for each version of the website was version controlled using Git and Git Large File Storage (LFS).

Systems 63

Systems Cache Website Network 63