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'2017/05'에 해당되는 글 13건
2017/05/28  Efficient storage: how we went down from 50 PB to 32 PB  
2017/05/28  Chronic is a natural language date/time parser written in pure Ruby  
2017/05/28  Run strikingly fast parallel file searches in Go with sync.ErrGroup  
2017/05/18  When Too Much Concurrency Slows You Down (Golang)  
2017/05/18  Google SRE Online Book  
분류없음  2017/05/28 14:31
Efficient storage: how we went down from 50 PB to 32 PB
https://medium.com/@andrewsumin/efficient-storage-how-we-went-down-from-50-pb-to-32-pb-99f9c61bf6b4
2017/05/28 14:31 2017/05/28 14:31
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분류없음  2017/05/28 14:30
Chronic is a natural language date/time parser written in pure Ruby

Chronic

Chronic is a natural language date/time parser written in pure Ruby. See below for the wide variety of formats Chronic will parse.

source : https://github.com/mojombo/chronic
2017/05/28 14:30 2017/05/28 14:30
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분류없음  2017/05/28 14:19
Run strikingly fast parallel file searches in Go with sync.ErrGroup
https://www.oreilly.com/learning/run-strikingly-fast-parallel-file-searches-in-go-with-sync-errgroup
2017/05/28 14:19 2017/05/28 14:19
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분류없음  2017/05/18 05:26
When Too Much Concurrency Slows You Down (Golang)

The Solution — Use Concurrency, But Hold Your Horses

So how can we gain the performance benefits of concurrent code without setting up a shower of goroutines? Well, one nice way to limit concurrency in go is by using a Buffered Channel Semaphore. Buffered channels in go are a nice and easy way to block execution based on the number of concurrent units of actions we want to have.

We set a buffered channel with a capacity of 100, and when we spawn the goroutines to perform the asynchronous computation, we revert to using the synchronous version of MergeSort if there are already 100 workers (goroutines) busy with the computation:


Source : https://medium.com/@_orcaman/when-too-much-concurrency-slows-you-down-golang-9c144ca305a
2017/05/18 05:26 2017/05/18 05:26
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분류없음  2017/05/18 05:24
Google SRE Online Book
Part I. Introduction
This section provides some high-level guidance on what SRE is and why it is different from more conventional IT industry practices.
Ben Treynor Sloss, the senior VP overseeing technical operations at Google—and the originator of the term "Site Reliability Engineering"—provides his view on what SRE means, how it works, and how it compares to other ways of doing things in the industry, in Introduction.
We provide a guide to the production environment at Google in The Production Environment at Google, from the Viewpoint of an SRE as a way to help acquaint you with the wealth of new terms and systems you are about to meet in the rest of the book.


https://landing.google.com/sre/book/index.html
2017/05/18 05:24 2017/05/18 05:24
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