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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.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency. RabbitMQ supports multiple protocols, including AMQP, MQTT, and STOMP, making it highly adaptable for IoT, microservices, and enterprise applications.

Latency 147
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

This proximity reduces latency and enables real-time decision-making. Lower latency and greater reliability: Edge computing’s localized processing enables immediate responses, reducing latency and improving system reliability. Assess factors like network latency, cloud dependency, and data sensitivity.

IoT 52
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Act locally, connect globally with IoT and edge computing

All Things Distributed

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). This is the exciting future for IoT, and it's closer than you think. Already, IoT is delivering deep and precise insights to improve virtually every aspect of our lives.

IoT 120
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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed.

IoT 52
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

When an application is triggered, it can cause latency as the application starts. Connecting IoT devices (for example, AWS IoT Device Management ). This creates latency when they need to restart. The platform builds the trigger to initiate the app. How does serverless computing tackle inefficiencies?

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What is AWS Lambda?

Dynatrace

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. AWS continues to improve how it handles latency issues. The Amazon Web Services ecosystem. It helps SRE teams automate responses.

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