Dynatrace

OCTOBER 23, 2024

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform.

Analytics 217

Analytics Logistics IoT Mobile 217

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.

Ecommerce 130

Ecommerce IoT Games Scalability 130

All Things Distributed

OCTOBER 16, 2019

These places might have important data that could help us better understand earth and its history, as well as life on other planets. The answer to this question is actually on your phone, your smartwatch, and billions of other places on earth—it's the Internet of Things (IoT).

IoT 122

IoT Healthcare Internet Internet 122

DZone

MAY 19, 2023

Logs often take up the majority of a company's data assets. Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

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 138

Analytics Metrics Monitoring IoT 138

Dynatrace

MARCH 21, 2024

As the world becomes increasingly interconnected with the proliferation of IoT devices and a surge in applications, digital transactions, and data creation, mobile monitoring — monitoring mobile applications — grows ever more critical.

Mobile 189

Mobile Monitoring Analytics IoT 189

DZone

JUNE 7, 2023

They provide a centralized platform that promotes seamless communication and data exchange between software applications, reducing data silos. ERP systems enhance collaboration, streamline workflows, automate tasks, and provide robust data management and analysis capabilities.

Systems 182

Systems Software Software Development 182

Dynatrace

SEPTEMBER 27, 2024

Monitor batch jobs Monitoring is critical for batch jobs because it ensures that essential tasks, such as data processing and system maintenance, are completed on time and without errors. Parsing the log lines that have critical data related to batch job status Now that we can parse critical information, we can make informed decisions.

Monitoring 197

Monitoring Performance IoT Analytics 197

VoltDB

AUGUST 8, 2024

quintillion bytes of data are generated each day, enterprises have more data under their control than ever before. Unfortunately, many organizations lack the tools, infrastructure, and architecture needed to unlock the full value of that data. What are the benefits of a real-time data platform? In a world where 2.5

IoT 52

IoT Latency Traffic Logistics 52

VoltDB

OCTOBER 17, 2024

The automotive industry is more reliant than ever on real-time data – and not just the manufacturers but also the dealers. Some industry experts are even seeing the automotive industry’s use of real-time data as a pioneering chapter for real-time data in general that will soon spread to other industries.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

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

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. The digital transformation of businesses involves the adoption of digital technologies to change the way companies operate and deliver value to their customers.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

Dynatrace

SEPTEMBER 5, 2024

A robust application security strategy is vital to ensuring the safety of your organization’s data and applications. Finally, a strong exposure management posture can help increase organizations’ confidence in their overall application security approach, keeping their data and systems safeguarded from potential attacks.

Strategy 258

Strategy IoT Infrastructure Best Practices 258

VoltDB

SEPTEMBER 26, 2024

By continuously monitoring and analyzing video data, preventive maintenance algorithms can predict when equipment is likely to fail. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance. This footage is then transmitted to a centralized system for analysis.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

SEPTEMBER 26, 2024

By continuously monitoring and analyzing video data, predictive maintenance algorithms can predict when equipment is likely to fail. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance. This footage is then transmitted to a centralized system for analysis.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

OCTOBER 30, 2024

Companies now leverage AI algorithms to analyze large data sets from connected machinery, detecting patterns that signal wear or impending failures. As industries adopt these technologies, preventive maintenance is evolving to support smarter, data-driven decision-making, ultimately boosting efficiency, safety, and cost savings.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 217

Monitoring Social Media IoT Metrics 217

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

Dynatrace

NOVEMBER 5, 2023

Exploring AI transformation at the verge of sustainability and edge computing On the verge of a data-driven digital transformation 2.0 , CIOs are under greater pressure to deliver real-world business value from transformation initiatives. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

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 275

AWS Cloud IoT Database 275

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 123

Analytics Cloud Healthcare Retail 123

VoltDB

SEPTEMBER 10, 2024

Industrial IoT (IIoT) really means making industrial devices work together so they can communicate better for the sake of ultimately improving data analytics, efficiency, and productivity. But in IIoT, as in other industries, data silos are a huge issue. If your data lives in silos, you’re not making the most of it.

IoT 52

IoT Architecture Scalability Analytics 52

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

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

IoT 45

IoT Ecommerce Latency Analytics 45

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 222

AWS Best Practices Cloud Analytics 222

All Things Distributed

JUNE 7, 2017

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. In recent years, an explosion of intelligent devices have created oceans of new data across many industries. This is because data gets more valuable when it can be processed together with other data. Law of Economics. Law of the Land.

AWS 102

AWS IoT Lambda Storage 102

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 139

Azure Serverless IoT Lambda 139

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

IoT 40

IoT Ecommerce Latency Analytics 40

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

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

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 138

AWS Metrics IoT Storage 138

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 134

AWS Metrics IoT Storage 134

Adrian Cockcroft

NOVEMBER 18, 2024

In this lightning talk, learn how customers are using AWS to perform millions of calculations on real-time grid data to execute the scenario analysis, simulations, and operational planning necessary to operate a dynamic power grid. This presentation is brought to you by Capgemini, an AWS Partner.

AWS 98

AWS Energy Lambda Government 98

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 240

Artificial Intelligence Monitoring Infrastructure Cloud 240

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

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. Continuous Automation.

Artificial Intelligence 186

Artificial Intelligence Social Media Monitoring IoT 186