Analysis, Azure and IoT - Technology Performance Pulse

Adding New Capabilities for Real-Time Analytics to Azure IoT

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

IoT Azure Analytics Serverless

What is Google Cloud Functions?

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Using GCF within a video analysis workflow. What is Google Cloud Functions? GCF use cases.

Google

Google Cloud Serverless Azure

Sustainability Talks and Updates from AWS re:Invent 2023

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

AWS Energy IoT Best Practices

The Next Generation in Logistics Tracking with Real-Time Digital Twins

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.

Logistics

Logistics Retail Analytics Azure

The Next Generation in Logistics Tracking with Real-Time Digital Twins

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.

Logistics

Logistics Retail Analytics Azure

The Next Generation in Logistics Tracking with Real-Time Digital Twins

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

Logistics Retail Analytics Azure

Top 9 web development trends to expect in 2022

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

Blockchain IoT Development Serverless

The Need for Real-Time Device Tracking

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. Conventional streaming analytics architectures have not kept up with the growing demands of IoT. What’s missing in this picture?

IoT

IoT Analytics Big Data Architecture

Announcing the ScaleOut Digital Twin Streaming Service™

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

Logistics IoT Analytics Azure

Announcing the ScaleOut Digital Twin Streaming Service™

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

Logistics IoT Analytics Azure

What is observability? Not just logs, metrics and traces

Dynatrace

OCTOBER 1, 2021

Organizations also frequently run into the following challenges with observability: Data silos : Multiple agents, disparate data sources, and siloed monitoring tools make it hard to understand interdependencies across applications, multiple clouds, and digital channels, such as web, mobile, and IoT.

Metrics

Metrics Open Source Monitoring Infrastructure

Developing Real-Time Digital Twins for Cloud Deployment

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. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud

Cloud Development Analytics Azure

Developing Real-Time Digital Twins for Cloud Deployment

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. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud

Cloud Development Analytics Azure

What is APM?

Dynatrace

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. Advanced cloud observability.

Monitoring

Monitoring Mobile Social Media Artificial Intelligence

Using Real-Time Digital Twins for Aggregate Analytics

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. The list goes on.

Analytics

Analytics IoT Lambda Big Data

Using Real-Time Digital Twins for Aggregate Analytics

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. The list goes on.

Analytics

Analytics IoT Lambda Big Data

Technology Performance Pulse

Adding New Capabilities for Real-Time Analytics to Azure IoT

What is Google Cloud Functions?

Trending Sources

Sustainability Talks and Updates from AWS re:Invent 2023

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Next Generation in Logistics Tracking with Real-Time Digital Twins

The Next Generation in Logistics Tracking with Real-Time Digital Twins

Top 9 web development trends to expect in 2022

The Need for Real-Time Device Tracking

Announcing the ScaleOut Digital Twin Streaming Service™

Announcing the ScaleOut Digital Twin Streaming Service™

What is observability? Not just logs, metrics and traces

Developing Real-Time Digital Twins for Cloud Deployment

Developing Real-Time Digital Twins for Cloud Deployment

What is APM?

Using Real-Time Digital Twins for Aggregate Analytics

Using Real-Time Digital Twins for Aggregate Analytics

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