Remove IoT Remove Latency Remove Scalability
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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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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency.

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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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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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Elastic Container Service (ECS). Amazon EMR.

AWS 200
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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. Lambda’s toolbox of automated processes helps developers streamline to build fast, robust, and scalable applications on accelerated timelines.

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. Key Takeaways RabbitMQ is a versatile message broker that improves communication across various applications, including microservices, background jobs, and IoT devices. Take Softonic’s platform as an example.

Ecommerce 130