Remove Cache Remove Database Remove Infrastructure Remove Latency
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5

Cache 209
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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. We will use a graph database such as Neo4j to store the information. Sample Queries supported by Graph Database. System Components. API Design.

Design 334
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52
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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Where you decide to host your cloud databases is a huge decision. But, if you’re considering leveraging a managed databases provider, you have another decision to make – are you able to host in your own cloud account or are you required to host through your managed service provider? Where to host your cloud database?

Cloud 242
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Time to First Byte: What It Is and Why It Matters

CSS Wizardry

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. The reason is because mobile networks are, as a rule, high latency connections. only to find that the resource they’re requesting isn’t in that PoP ’s cache.

Latency 269
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Microservices, events, and upside-down databases

O'Reilly Software

This meant a lot of time was spent on things like cycle time analysis, build pipeline design, test automation, and infrastructure automation. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. But I kept hitting up against some fundamental issues.

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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

Lambda 98