HighPerformanceWithGo
gophers
Our great sponsors
HighPerformanceWithGo | gophers | |
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2 | 4 | |
152 | 2,907 | |
- | - | |
0.0 | 0.0 | |
12 months ago | about 5 years ago | |
Go | Go | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
HighPerformanceWithGo
- Preferred resource for 'advanced' Go?
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go startpack
Hands-On High Performance with Go
gophers
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Golang Desktop wallpapers
Old but still nice ones : https://github.com/ashleymcnamara/gophers
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Behind the Scenes of Go Scheduler
OK, no more surprises. I promised with that, we now have a full understanding of the main ideas, both big and sneaky, behind the Go scheduler. We started out with a list of goals. How did we do with our goals? Use a small number of kernel threads. We can support high concurrency and we can leverage parallelism. We scale to N-cores and this falls out of those three ideas that we discussed. Let's move on to the harder questions. What are the limitations of the scheduler? Well, for one, there is no notion of goroutine's priority. It uses a first in, first out runQueue vs Linux scheduler which uses a priority queue. Now the cost-benefit tradeoff is doing this might not actually make sense for go programs. The second limitation is there's no strong preemption, so there is no strong fairness in latency guarantees. It's entirely possible for a goroutine in certain cases to bring the inspire system to slow down in a fault. And finally, the third limitation that I want to touch upon today is the scheduler is not aware of the actual hardware topology, so there's no real guaranteed locality between the data and the Goroutine computation, and with that we have come to an end and thank you for reading. Gopher Artwork credit Maria Letta Ashley Mcnamara
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Seeking memes 😅
https://github.com/ashleymcnamara/gophers is pretty awesome
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go startpack
Gopher Artwork by Ashley MacNamara
What are some alternatives?
go-perfbook - Thoughts on Go performance optimization
apex
snowflake - Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.
go101 - An up-to-date (unofficial) knowledge base for Go programming self learning
helm - The Kubernetes Package Manager [Moved to: https://github.com/helm/helm]
gophers - Some gophers 🐻
free-gophers-pack - ✨ This pack of 100+ gopher pictures and elements will help you to build own design of almost anything related to Go Programming Language: presentations, posts in blogs or social media, courses, videos and many, many more.
grupo-estudos-golang - Material para estudo de Golang, tutoriais, videos e exemplos para quem quer aprender Go
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.