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Simplify log onboarding: From zero to observability in minutes

Dynatrace

During this process, OneAgent detects and links technologies , such as Java, Docker, or Microsoft IIS, for improved parsing and log analysis. Preconfigured log rules Dynatrace provides a set of prepared log ingestion rules, so you dont need to create custom configurations for common technologies and services.

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What Is a Performance Engineer and How to Become One: Part 1

DZone

Nowadays, many performance testers with many years of experience in IT have a lot of confusion and are still confused about the technologies they worked with and were used in their projects for years. and must have extensive experience in specialized skills.

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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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Dynatrace joins the OpenTelemetry project

Dynatrace

Initially, we’ll focus on the following key areas where we believe our experience in building enterprise-grade tracing will help OpenTelemetry evolve as quickly as possible: Support for the merging of OpenTracing and OpenCensus for Node.js, Python, and Java.

IoT 53
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What is Google Cloud Functions?

Dynatrace

Avoid lock-in with open-source technologies. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP. On the processing side, GCF functions can interface with Google’s own AI/ML technologies to inspect video and image content. GCF use cases.

Google 246
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What is RabbitMQ Used For

Scalegrid

It particularly stands out in several fields, such as: Telecommunications Healthcare Finance E-commerce IoT Within these domains, RabbitMQ harnesses its potential to process substantial data and manage real-time operations effectively. RabbitMQ supports client libraries for various programming languages, including Java,NET, and Python.

IoT 130
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52