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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 219
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Designing Instagram

High Scalability

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. After that, the post gets added to the feed of all the followers in the columnar data storage. System Components. Fetching User Feed. Optimization.

Design 334
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Trending Sources

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Service level objectives: 5 SLOs to get started

Dynatrace

While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Latency 174
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

While gyms and fitness studios have since reopened, these apps are still extremely popular for squeezing in short home workouts, tracking fitness goals, and receiving personalized training recommendations. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Traffic 173
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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. Hybrid cloud environments that integrate on-premises infrastructure with cloud services.

Cloud 130
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Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. This requires monitoring of the upstream infrastructure, applications, or platform supporting those data streams.

DevOps 192
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Cache-Control for Civilians

CSS Wizardry

If, however, there wasn’t a new file on the server, we’ll bring back a 304 header, no new file, but an entire roundtrip of latency. We can completely cut out the overhead of a roundtrip of latency. On high latency connections, this saving could be tangible. Live Train Timetable Page. stale-while-revalidate.

Cache 264