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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Understand and optimize your architecture.

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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

These range from the simple lift-and-shift re-hosting approach to the significant architectural changes involved in refactoring. “Caching’s one of the key components of any commerce application,” as it has a major impact on performance, Bollampally said. For each on-premises application, Tractor Supply Co.

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Sponsored Post: pMD, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

High Scalability

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast.

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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OpenTelemetry reference architecture. This occurs once data is safely stored within a local cache. ” Usually, competition is a good thing for end-users since it breeds innovation. Source: OpenTelemetry Documentation. What is telemetry data? Ingestion is critical to gathering the data we care most about.

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The case for a learned sorting algorithm

The Morning Paper

Radix Sort is carefully designed to make effective use of the L2 cache and sequential memory accesses, whereas Learned Sort is making random accesses all over the destination array. How can learned sort be adapted to make it cache-efficient? If it’s high performance you’re after, you can’t ignore mechanical sympathy.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more).