Dynatrace

JUNE 13, 2019

Dynatrace provides the widest monitoring coverage of software frameworks that are used in modern enterprise applications. Dynatrace has been building automated application instrumentation—without the need to modify source code—for over 15 years already. What Dynatrace will contribute.

IoT 53

IoT C++ Analytics Java 53

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Real-user monitoring (RUM). Endpoints can be physical (i.e.,

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. The Dynatrace Software Intelligence Platform provides all-in-one advanced observability. What sets Dynatrace apart?

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

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 204

Azure Serverless IoT Lambda 204

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Machine Learning – Specialty: Data scientists or software developers who already have some exposure to machine learning in AWS may find this certification worthwhile. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS 246

AWS Best Practices Cloud Analytics 246

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 109

Analytics Cloud Healthcare Retail 109

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 52

IoT Azure Analytics Serverless 52

All Things Distributed

NOVEMBER 15, 2016

They require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways.

Analytics 126

Analytics Availability Media Social Media 126

DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. One of the significant challenges that come with digital transformation is ensuring that software systems remain reliable and secure. This is where software testing comes in.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

Scalegrid

AUGUST 27, 2024

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Key Takeaways RabbitMQ is a versatile message broker that improves communication across various applications, including microservices, background jobs, and IoT devices. Take Softonic’s platform as an example.

Ecommerce 130

Ecommerce IoT Games Scalability 130

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Any organization recruits experienced testing agencies to comply with their specifications for software testing. Here is the list of software testing trends you need to look out for in 2021.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. User Experience and Business Analytics ery user journey and maximize business KPIs. What sets Dynatrace apart?

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

All Things Distributed

DECEMBER 13, 2016

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. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Scalegrid

FEBRUARY 11, 2025

Introduction to Database Management Systems Database Management Systems (DBMS) are essential software systems that facilitate database creation, maintenance, and manipulation. Data modeling is a critical skill for developers to manage and analyze data within these database systems effectively.

Scalability 147

Scalability Database Storage IoT 147

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. 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 list goes on.

IoT 78

IoT Big Data Analytics Architecture 78

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

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

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Faster and higher-quality software releases. AI assistance enables teams to automate operations, release software faster, and deliver better business outcomes.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

All Things Distributed

JULY 14, 2015

Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables. You can also use triggers to power many modern Internet of Things (IoT) use cases. Cross-region replication allows us to distribute data across the world for redundancy and speed. ” Summing It All Up.

Database 158

Database Lambda AWS IoT 158

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

All Things Distributed

OCTOBER 7, 2015

On-premise BI tools also require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. We believe this provides a simple way for users to deriving valuable insights without too much work.

Cloud 114

Cloud Big Data AWS Analytics 114

VoltDB

JUNE 26, 2024

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

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

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

All Things Distributed

MAY 3, 2017

Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. And control is not the only change: IoT creates many new data streams that, through cloud analytics, provide companies with much deeper insight into their operations and customer engagement.

Logistics 66

Logistics IoT Analytics Innovation 66

VoltDB

SEPTEMBER 26, 2024

Preventive maintenance, also known as preventative and predictive maintenance – including preventive maintenance software and preventive maintenance tools – is one readily evolving and increasingly popular way to do that. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

SEPTEMBER 26, 2024

Predictive maintenance – including predicting maintenance software and predictive maintenance tools – is one readily evolving and increasingly popular way to do that. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance.

IoT 52

IoT Analytics Strategy Efficiency 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. The answer to these challenges is a new software concept called the “ real-time digital twin.”

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. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail 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. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

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. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

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. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 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. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52