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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing Shredder’s implementation is built on top of Seastar.

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Taskbar Latency and Kernel Calls

Randon ASCII

While CPU Usage (Precise) is great for seeing how much CPU time a process is using, and why it is sitting idle, the CPU Usage (Sampled) table is the right tool for figuring out where CPU time is being spent. Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O.

Latency 79
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Achieving observability in async workflows

The Netflix TechBlog

It enables a Production Office Coordinator to keep a Production’s cast, crew, and vendors organized and up to date with the latest information throughout the course of a title’s filming. We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases.

Traffic 164
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What is Intelligent Manufacturing?

VoltDB

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation.

IoT 52
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InnoDB Performance Optimization Basics

Percona

These guidelines work well for a wide range of applications, though the optimal settings, of course, depend on the workload. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. But also larger log files mean that the recovery process will be slower in case of a crash.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

Oh, and there’s a scheduler too of course to keep all the plates spinning. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.

Lambda 98