hyperfine
kubeconform
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hyperfine | kubeconform | |
---|---|---|
72 | 4 | |
19,492 | 1,843 | |
- | - | |
8.2 | 6.0 | |
15 days ago | 3 days ago | |
Rust | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
hyperfine
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Faster tetranucleotide (k-mer) frequencies!
Search "benchmarking tools for linux" and decide that hyperfine is good for what I'm doing. Run Jennifer's new python script against my refactored perl and find that the python is 1.26 times faster for k=3 and 1.47 times faster for k=4. For the Covid-19 sequence, these are both on the order of hundreds of milliseconds.
- Hyperfine: A command-line benchmarking tool
- FLaNK Weekly 08 Jan 2024
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Show HN: Inshellisense – IDE style shell autocomplete
> It is very possible to write sub 100ms procedures in TS, […]
I will not disagree with this statement because I don’t have a way to test inshellisense right now. Could you (or anyone with a working Node + NPM installation) please install inshellisense and post the actual numbers? Perhaps using a tool like hyperfine (https://github.com/sharkdp/hyperfine).
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Firefox has surpassed Chrome on Speedometer
Yeah, while it's not as thorough as these tools, the method is at least reproducible and sane, and with ~10 or so samples, you get an interval with a nice confidence.
Another through method will be hyperfine[0], yet I wanted to provide a method which requires no installation and can be done in a whim, without jumps and hoops, with the tools already at hand.
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How to optimize your config? What are mistakes to avoid when optimizing your config?
That is native and inbuild but I would suggest below options instead 1. Using lazy's Profile tab instead https://github.com/folke/lazy.nvim 2. Using a dedicated plugin to do this https://github.com/dstein64/vim-startuptime. 3. Using an external program hyperfine is one that I use https://github.com/sharkdp/hyperfine
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How to remove all <br> from all of my .html files
Fair enough, although might I recommend using hyperfine for your testing? ;p
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Making Python 100x faster with less than 100 lines of Rust
Very nice. Thanks for sharing.
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Profile-guided optimization of a Go application
Go has benchmarking tools in standard library, but in this case it is easier to use hyperfine to measure performance of a CLI app.
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Any Linux admins willing to try Pygrep?
It's vitally important that you make tests on small changes, and also have consistent testing methodology - same file and search parameters from one run to the next. I personally like using hyperfine to call the Python script, but anything should work. Also, if you're testing this on a laptop, it needs to be plugged in (and the CPU power management tuned for max performance when on wall power), and not too hot - thermal throttling can kill test results.
kubeconform
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Dealing with Yaml files
If you want to validate your resources against the schema of the resources (mind you also crds) you can use kubeconform.
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[Show] Detecting YAML Issues Early
How is it different from https://github.com/yannh/kubeconform?
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Securing Kubernetes Deployments
wget https://github.com/yannh/kubeconform/releases/download/v0.4.12/kubeconform-linux-amd64.tar.gz tar xf kubeconform-linux-amd64.tar.gz sudo cp kubeconform /usr/local/bin checkout kubeconform --summary deployment.yml
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A Deep Dive Into Kubernetes Schema Validation
Kubeval and kubeconform are command-line tools that were developed with the intent to validate Kubernetes manifests without the requirement of having a running Kubernetes environment. Because kubeconform is based on kubeval, they operate similarly — verification is performed against pre-generated JSON schemas that are created from the OpenAPI specifications (swagger.json) for each particular Kubernetes version. All that remains to run the schema validation tests is to point the tool executable to a single manifest, directory or pattern.
What are some alternatives?
kubeval - Validate your Kubernetes configuration files, supports multiple Kubernetes versions
kubernetes-schema-validation - resources for the blog post about Kubernetes schema validation
kube-score - Kubernetes object analysis with recommendations for improved reliability and security. kube-score actively prevents downtime and bugs in your Kubernetes YAML and Charts. Static code analysis for Kubernetes.
criterion.rs - Statistics-driven benchmarking library for Rust
enhancements - Enhancements tracking repo for Kubernetes
kubernetes-json-schema - Schemas for every version of every object in every version of Kubernetes
fd - A simple, fast and user-friendly alternative to 'find'
kpt - Automate Kubernetes Configuration Editing
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
awesome-mac - Now we have become very big, Different from the original idea. Collect premium software in various categories.
kubernetes-json-schema - JSON Schemas for every version of every object in every version of Kubernetes
quinn - Async-friendly QUIC implementation in Rust