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

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). In an age where the average data breach sets U.S.

Network 52

Network IoT Wireless Infrastructure 52

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. Provide visual data for users to better understand the performance metrics. Its Service Map gives you exactly what you need to trace the path of data flow and how inter-connected micro services are.

Artificial Intelligence 228

Artificial Intelligence Monitoring Infrastructure Cloud 228

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 146

Azure Cloud Big Data Virtualization 146

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. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source.

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. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source.

Cloud 52

Cloud Development Analytics Azure 52

Adrian Cockcroft

FEBRUARY 13, 2023

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

DECEMBER 18, 2020

The app pulls all of the data from GitHub and Dynatrace APIs. With that simple copy-paste, I now have all the performance, errors, and user experience data for BizOpsConfigurator! In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. Dashboard Powerups.

Analytics 135

Analytics Metrics IoT Monitoring 135

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

VoltDB

JUNE 21, 2024

Monetizing AI/ML data has become a hot topic for enterprises, and rightly so: We appear at or near ‘peak AI’. AI is really the next generation of data analytics — a fancy new (although not really, more on that in a second) way to crunch data, ideally in true real-time fashion. Five Challenges With Monetizing AI/ML Data 1.

Speed 52

Speed Engineering Media Java 52

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. Amazon Kinesis Data Firehose. Amazon Kinesis Data Streams (KDS). Dynatrace news. Amazon Elastic File System (EFS). Amazon EMR. Amazon Redshift.

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. Amazon Kinesis Data Firehose. Amazon Kinesis Data Streams (KDS). Dynatrace news. Amazon Elastic File System (EFS). Amazon EMR. Amazon Redshift.

AWS 132

AWS Metrics IoT Storage 132

Dynatrace

JUNE 1, 2020

Trying to manually keep up, configure, script and source data is beyond human capabilities and today everything must be automated and continuous. User Experience and Business Analytics ery user journey and maximize business KPIs. appeared first on Dynatrace blog. Continuous Automation. Download Magic Quadrant.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Dynatrace

JUNE 1, 2020

Trying to manually keep up, configure, script and source data is beyond human capabilities and today everything must be automated and continuous. User Experience and Business Analytics ery user journey and maximize business KPIs. appeared first on Dynatrace blog. Continuous Automation. You can download the report here.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Analyzing visual data is predominantly accomplished using deep learning. Apart from putting unprecedented strain on the computing subsystems, such workloads are heavy on data usage requiring a new way to analyze, store and retrieve data.

Wireless 54

Wireless IoT Analytics Architecture 54

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 Cloud 363

ScaleOut Software

SEPTEMBER 20, 2018

As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. State information includes a time-ordered list of the device’s incoming event messages along with key state information about the dynamic state of the data source.

Programming 63

Programming IoT Java Analytics 63

Dynatrace

AUGUST 27, 2020

Each service comes with zero-configuration, automatic instance detection, continuous data capture in context, and what’s most important – thanks to our AI engine Davis – is each service provides answers, not just data. AWS IoT Analytics. AWS IoT Things Graph. AWS Elastic Beanstalk. AWS Elemental MediaPackage.

AWS 266

AWS Cloud IoT Database 266

All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. 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.

Cloud 133

Cloud Big Data AWS Analytics 133

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Many happy developers are using DynamoDB to handle trillions of requests every day.

Database 167

Database Lambda AWS IoT 167

ScaleOut Software

SEPTEMBER 20, 2018

As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. State information includes a time-ordered list of the device’s incoming event messages along with key state information about the dynamic state of the data source.

Programming 40

Programming IoT Java Analytics 40

All Things Distributed

JUNE 21, 2018

To do this, they need to be able to use multiple databases and data models within the same application. For decades because the only database choice was a relational database, no matter the shape or function of the data in the application, the data was modeled as relational. Purpose-built databases.

Database 167

Database AWS Games Latency 167

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

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. While data collection itself is an integral part of APM, it’s ultimately only a means to an end. The real challenge is robust and effective analysis of such data.

IoT 45

IoT C++ Analytics Java 45

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

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. Put simply, data is not always readily available and accessible to organizational end users. Enter Amazon QuickSight.

Analytics 147

Analytics Availability Media Social Media 147

Testsigma

FEBRUARY 12, 2021

When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92