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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Optimizing RabbitMQ requires clustering, queue management, and resource tuning to maintain stability and efficiency. Apache Kafka primarily uses JAAS (Java Authentication and Authorization Service) for authentication. Integration Requirements: How well does the system integrate with existing tools, frameworks, and cloud platforms?

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Latest OpenPipeline upgrades simplify high-volume, real-time data processing

Dynatrace

Empowering real-time insights through petabyte-scale data processing of all your data Modern cloud native systems generate massive volumes of telemetry data, spanning logs, metrics, events, and traces. Use real-time pipeline metrics to tune and optimize your configurations. Ready to unlock the full value of your data?

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AI Flame Graphs

Brendan Gregg

Our first version is available to customers in the Intel Tiber AI Cloud as a preview for the Intel Data Center GPU Max Series (previously called Ponte Vecchio). I know of companies where flame graphs are a daily tool that developers use to understand and tune their code, reducing compute costs. Why is AI profiling hard?

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MCP: What It Is and Why It Matters—Part 3

O'Reilly

Use MCP SDK/template to scaffold the server: The Model Context Protocol project provides SDKs in multiple languages: TypeScript, Python, Java, Kotlin, and C# ( GitHub ). Authentication and permissions (if needed): If your MCP server accesses sensitive data or requires auth (like an API key for a cloud service), build that in.

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Using Generative AI to Build Generative AI

O'Reilly

For some context, over the past 15 years Ive been operating Python Tutor ( [link] ), a free online tool that tens of millions of people around the world have used to write, run, and visually debug their code (first in Python and now also in Java, C, C++, and JavaScript). A False Start by Locally Hosting an LLM Now onto the backend.

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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

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Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings.