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{{template "base" .}}
{{define "content"}}
<ul>
<li>backend cloud software engineer</li>
<li>lang: go</li>
<li>infra: kubernetes</li>
</ul>
<h2>tidbits</h2>
<h3>#go</h3>
<ul>
<li>layout packages by what they do, not by their abstract type</li>
<li>use channels sparingly. write synchronous methods and allow the caller to make it async</li>
<li><code>append</code> modifies the underlying slice, you'll only make this mistake once</li>
<li>define interfaces where you use them</li>
<li><code>make([]int, 5)</code> has a length and capacity of 5. <code>([]int, 0,5)</code> has a length
of 0 and capacity of 5.
<br />
<code>append()</code> will only do what you want with the latter
</li>
<li>don't use <code>init()</code></li>
<li>TFBO (test, fix, benchmark, optimise)</li>
<li>more CPU != more performance
<br/>
more CPU == more Contention
</li>
</ul>
<h3>#git</h3>
<ul>
<li><code>git reflog</code></li>
<li><code>git commit --fixup=<COMMITISH></code>
<br />
<code>git rebase origin/main --autosquash</code>
</li>
</ul>
<h2>resources</h2>
<ul>
<li><a href=https://cs.opensource.google/go/go/+/refs/tags/go1.23.0:src/runtime/proc.go><code>proc.go</code></a></li>
<li><a href=https://github.com/golang/go/issues/67120>proposal: runtime/metrics: define a recommended set of metrics</a></li>
</ul>
<h2>books</h2>
<ul>
<li><a href=https://www.oreilly.com/library/view/designing-data-intensive-applications/9781491903063 />Designing
Data Intensive Applications</a></li>
<li><a href=https://www.oreilly.com/library/view/database-internals/9781492040330 />Database Internals
</a>
</li>
<li>
<a href=https://www.oreilly.com/library/view/efficient-go/9781098105709 /> Efficient Go</a>
</li>
</ul>
{{end}}
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