Dynatrace

OCTOBER 23, 2024

Recently, we’ve expanded our digital experience monitoring to cover the entire customer journey, from conversion to fulfillment. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Google or Adobe Analytics).

Analytics 286

Analytics Logistics IoT Mobile 286

Dynatrace

AUGUST 27, 2020

Using various tools to monitor services running across hybrid/multicloud environments, with each tool requiring its own expertise. AWS IoT Analytics. AWS IoT Things Graph. However, for a specific use case, you can extend the list of monitored metrics that Dynatrace analyzes. AWS Elastic Beanstalk. Amazon Neptune.

AWS 279

AWS Cloud IoT Database 279

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. Dynatrace provides the widest monitoring coverage of software frameworks that are used in modern enterprise applications. Why are we doing this?

IoT 53

IoT C++ Analytics Java 53

All Things Distributed

OCTOBER 16, 2019

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). Connected devices allow us to extend our senses to remote locations, such as a robot carrying out work on Mars or monitoring remote oil wells.

IoT 120

IoT Healthcare Internet Internet 120

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 167

Monitoring Performance Social Media Artificial Intelligence 167

Dynatrace

OCTOBER 1, 2021

Although some people may think of observability as a buzzword for sophisticated application performance monitoring (APM) , there are a few key distinctions to keep in mind when comparing observability and monitoring. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 252

Artificial Intelligence Social Media Monitoring IoT 252

Dynatrace

SEPTEMBER 5, 2024

The success of exposure management relies on a well-defined process that includes the following steps: Identifying external-facing assets: This includes everything from websites and web applications to cloud services, APIs, and IoT devices.

Strategy 290

Strategy IoT Infrastructure Best Practices 290

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. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Kinesis Data Analytics. Updated AWS monitoring policy.

AWS 196

AWS Metrics IoT Storage 196

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 201

Azure Serverless IoT Lambda 201

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

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. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Kinesis Data Analytics. Updated AWS monitoring policy.

AWS 176

AWS Metrics IoT Storage 176

Dynatrace

JULY 6, 2020

In addition to providing AI-powered full-stack monitoring capabilities , Dynatrace has long featured broad support for Azure Services and intuitive, native integration with extensions for using OneAgent on Azure. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 226

Azure Cloud Big Data Virtualization 226

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. RabbitMQ can be deployed in distributed environments and includes monitoring tools through a built-in dashboard and CLI. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency.

Latency 147

Latency Analytics Architecture Storage 147

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

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

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. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

VoltDB

NOVEMBER 20, 2024

Today, most manufacturers use IIoT solutions to track and monitor their equipment and production environments, while edge computing primarily serves high-priority applications that require minimal delay. sensors on equipment can collect, analyze, and act on data locally, creating a self-monitoring machine.

IoT 52

IoT Energy Latency Automotive 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. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 162

Monitoring Mobile Social Media Infrastructure 162

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The data warehouse also persists the processed data directly into Aurora MySQL and Amazon Redshift to support both operational and analytical queries.

Database 167

Database AWS Games Latency 167

Dynatrace

NOVEMBER 5, 2023

The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible. We hope to see you there! and/or its affiliates in the U.S.

Azure 130

Azure Artificial Intelligence Innovation Strategy 130

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. We have publicly shared the source code for the cross-region replication utility , which you can extend to build your own versions of data replication, search, or monitoring applications.

Database 158

Database Lambda AWS IoT 158

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

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

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

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

IIoT devices and sensors allow for real-time monitoring, giving maintenance teams the ability to track equipment health and schedule maintenance activities before issues arise. Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

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

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Companies with large numbers of geographically distributed assets increasingly need intelligent real-time monitoring to keep operations running smoothly. 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.

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

VoltDB

AUGUST 8, 2024

Real-time data platforms often utilize technologies like streaming data processing , in-memory databases , and advanced analytics to handle large volumes of data at high speeds. IoT applications Real-time data platforms can also power a number of IoT applications. What are the benefits of a real-time data platform?

IoT 52

IoT Latency Traffic Logistics 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