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. These analytics help mobile developers quickly diagnose and fix mobile app crashes.

Mobile 245

Mobile Monitoring Analytics IoT 245

Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. AWS IoT Things Graph. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift. Amazon Inspector. Amazon Polly. Amazon Quantum Ledger Database (QLDB). Amazon Lex. Amazon Rekognition. AWS RoboMaker. Amazon Machine Learning. Amazon Managed Apache Cassandra Service (Keyspaces).

AWS 279

AWS Cloud IoT Database 279

Dynatrace

JUNE 13, 2019

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. 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.

Monitoring 246

Monitoring Social Media IoT Metrics 246

DZone

JANUARY 13, 2023

For this reason, time-series analytics have proved critical for making sense of real-time market data in financial services, sensor data from IoT devices, and application metrics.

IoT 178

IoT Analytics Database Metrics 178

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

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

SEPTEMBER 27, 2024

A great reference is our blog post, Leverage edge IoT data with OpenTelemetry and Dynatrace , in which we documented the required steps to parse and ingest a single JSON log file into Dynatrace via OpenTelemetry. Logs can also be ingested from various sources, including OpenTelemetry and Fluentbit.

Monitoring 260

Monitoring Performance IoT Analytics 260

DZone

JUNE 7, 2023

Enhanced data analytics and reporting: ERP systems offer robust reporting and analytics capabilities, allowing developers to extract valuable insights from data and make data-driven decisions for software development and business improvement.

Systems 182

Systems Software Software Development 182

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

FEBRUARY 26, 2024

Digital transformation – which is necessary for organizations to stay competitive – and the adoption of machine learning, artificial intelligence, IoT, and cloud is completely changing the way organizations work. In fact, it’s only getting faster and more complicated.

Artificial Intelligence 246

Artificial Intelligence IoT Programming Innovation 246

DZone

MAY 19, 2023

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 often take up the majority of a company's data assets. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

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. Dynatrace news. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon EMR.

AWS 200

AWS Metrics IoT Storage 200

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

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification. 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

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. Dynatrace news. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon EMR.

AWS 182

AWS Metrics IoT Storage 182

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

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

NOVEMBER 8, 2021

A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Insight into business KPIs.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

Dynatrace

JULY 6, 2020

Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. It enables you to use popular open-source frameworks such as Hadoop, Spark, and Kafka in Azure cloud environments.

Azure 227

Azure Cloud Big Data Virtualization 227

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

VoltDB

NOVEMBER 20, 2024

The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential. With predictive analytics at the edge, machines can be monitored continuously for early signs of wear, allowing for timely maintenance without interrupting production.

IoT 52

IoT Energy Latency Automotive 52

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

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.

Azure 130

Azure Artificial Intelligence Innovation Strategy 130

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

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

Scalegrid

FEBRUARY 11, 2025

This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications. Unlike relational databases, NoSQL databases do not require a fixed schema, allowing for more flexible data models.

Scalability 147

Scalability Database Storage IoT 147

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. 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

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain a reasonable query performance.

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