Remove Efficiency Remove IoT Remove Latency
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Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 258
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Most Common RabbitMQ Use Cases

Scalegrid

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. This non-blocking nature improves the system’s responsiveness and efficiency.

Ecommerce 130
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How digital experience monitoring helps deliver business observability

Dynatrace

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).

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Edge Data Platforms, Real-Time Services, and Modern Data Trends

DZone

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster.

IoT 130