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Simplify log onboarding: From zero to observability in minutes

Dynatrace

This blog post explains how Dynatrace simplifies log ingestion, whether youre onboarding logs from your infrastructure using OneAgent, cloud services using log forwarding, or driving open-source standardization leveraging OpenTelemetry (OTel), Fluent Bit, or any other API-based ingestion methods.

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One-Click Deploying EMQX MQTT Broker on AWS Using Terraform

DZone

MQTT is a lightweight messaging protocol commonly used in IoT (Internet of Things) applications to enable communication between devices. By using Terraform, a widespread Infrastructure as Code (IaC) tool, you can automate the deployment of EMQX MQTT Broker on AWS, making it easy to set up and manage your MQTT infrastructure.

AWS 303
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

IIoT systems can use edge devices to ensure that sensitive operational data remains secure on-premises, thereby protecting critical infrastructure. Scalability and flexibility: Manufacturers will have more flexibility to scale their IIoT networks without overburdening their centralized IT infrastructure.

IoT 52
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ supports multiple protocols, including AMQP, MQTT, and STOMP, making it highly adaptable for IoT, microservices, and enterprise applications. Whether integrating with IoT devices, web applications, or large-scale enterprise systems, RabbitMQ can communicate with various technologies.

Latency 147
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One-Click Deploying EMQX MQTT Broker on Azure Using Terraform

DZone

MQTT is a lightweight messaging protocol used in the Internet of Things (IoT) to enable communication between devices. By using Terraform, a widespread Infrastructure as Code (IaC) tool, you can automate the deployment of EMQX MQTT Broker on Azure, making it easy to set up and manage your MQTT infrastructure.

Azure 226
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Crucial Benefits of Automated Testing in Manufacturing Industry

DZone

However, the inadequate experience with automation, lack of proper tools, DevOps practices, and AI & IoT, and having legacy infrastructure can make the conversion from traditional procedures to DevOps-centric automation quite challenging. at the beginning stage.

IoT 242
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Scale your enterprise cloud environment with enhanced AI-powered observability of all AWS services

Dynatrace

Missing operational insights, lack of context, and limited understanding of cloud service dependencies making it almost impossible to find the root cause of customer-facing application issues or underlying infrastructure problems. AWS IoT Analytics. AWS IoT Things Graph. AWS Elastic Beanstalk. AWS Elemental MediaPackage.

AWS 279