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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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Tuning EMQX To Scale to One Million Concurrent Connection on Kubernetes

DZone

When building an IoT-based service, we need to implement a messaging mechanism that transmits data collected by the IoT devices to a hub or a server. When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with.

IoT 305
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Edge Data Platforms, Real-Time Services, and Modern Data Trends

DZone

Edge data platforms are software solutions that enable businesses to collect, process, and analyze data at the edge of the network. 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
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Scale your enterprise cloud environment with enhanced AI-powered observability of all AWS services

Dynatrace

The latest batch of services cover databases, networks, machine learning and computing. AWS IoT Analytics. AWS IoT Things Graph. Top use cases include recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Achieve full observability of all AWS services. AWS Elastic Beanstalk.

AWS 269
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SQL Server on IoT Edge and Developer Machines – Smaller Footprint

SQL Server According to Bob

With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. Networking Pump Threads. Async Pump Threads. Super Latching.

IoT 61
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How digital experience monitoring helps deliver business observability

Dynatrace

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. One of the key advantages of DEM is its versatility. Endpoint monitoring (EM).

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum Advantages.

Big Data 321