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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 203
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Kubernetes in the wild report 2023

Dynatrace

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. Linux to the rescue?

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Architectural Myopia

ACM Sigarch

The rest of the article presents some examples of this behavior and how it impacts our field, whether we care to admit it or not. Present Bias. In Thaler’s book, he uses the term “present bias” to describe how people discount the future and give larger weight or value to decisions that are closer in time. Discounting the Past.

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Building an elastic query engine on disaggregated storage

The Morning Paper

When I think about cloud-native architectures, I think about disaggregation (enabling each resource type to scale independently), fine-grained units of resource allocation (enabling rapid response to changing workload demands, i.e. elasticity), and isolation (keeping tenants apart). joins) during query processing.

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World’s first and only fully automatic observability for Golang services now extended to statically linked Go applications

Dynatrace

With no required recompilation or code changes, you can: Monitor web-scale and highly dynamic microservice architectures including statically as well as dynamically linked Go applications and platform components. Read our blog post on process-group monitoring rules for more details, or check out the showcase described below.