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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. IoT is transforming how industries operate and make decisions, from agriculture to mining, energy utilities, and traffic management.

IoT 264
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Harmonizing Space, Time, and Semantics: Navigating the Complexity of Geo-Distributed IoT Databases

DZone

In the era of the Internet of Things ( IoT) , the continuous influx of spatial and temporal data from interconnected devices has given rise to a vast and intricate landscape, demanding a sophisticated approach to database management.

IoT 290
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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

Achieve unparalleled agility and customer satisfaction As today’s customer experiences span direct access (through web, mobile, and IoT) and indirect access (through APIs, messaging, logistics, and other forms of interactions), customer journeys are omnichannel.

Analytics 286
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is Apache Kafka?

Latency 147
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What is Azure Functions?

Dynatrace

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
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

Enter DynamoDB Triggers—an event-driven mechanism that enables developers to define Java or JavaScript functions that run outside the database in response to specific data changes in your DynamoDB tables. Triggers are powerful mechanisms that react to events dynamically and in real time. Summing It All Up.

Database 158
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Identify issues immediately with actionable metrics and context in Dynatrace Problem view

Dynatrace

Often, raised problems are the result of custom settings with fixed thresholds or the creation of custom events for alerting. The root cause analysis section now contains links to custom events for alerting and manual performance thresholds. Leverage AI assistance to deliver better customer experience. New to Dynatrace?

Metrics 246