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Merge pull request #44 from henry-jackson/spelling-fixes
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docs: fix spelling & grammar in docs
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gianarb authored Oct 30, 2020
2 parents 0b643ed + 07c2e56 commit b581b10
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5 changes: 3 additions & 2 deletions docs/content/docs/developing.md
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Expand Up @@ -4,7 +4,8 @@ description = "Contributing to kube-profefe"
weight = 30
draft = false
toc = true
bref = "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur neque risus, maximus malesuada massa eget, auctor vulputate ipsum. Suspendisse magna libero, iaculis non ante nec, laoreet faucibus ligula. Suspendisse sed enim urna. Quisque libero dui, porttitor eu diam quis, elementum mattis nunc."
bref = "An overview of the kube-profefe delivery and testing toolchain for
contributors"
+++

This project is written in Go and it uses [go
Expand Down Expand Up @@ -53,7 +54,7 @@ have to spin up a temporary kubernetes cluster for my test. It requires Docker.
$ kind create cluster
```

I can run locally `kprofefe` to see how it works but it won't be able to
I can run `kprofefe` locally to see how it works but it won't be able to
actually scrape profiles because it tries to reach the pprof endpoint using POD
IPs, and they are not reachable from my local laptop.

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2 changes: 1 addition & 1 deletion docs/content/docs/getting-started.md
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Expand Up @@ -55,7 +55,7 @@ Apply this spec via `kubectl apply -f <path file.yaml>`. It will create a
profefe namespace, and it will deploy the
[profefe](https://github.com/profefe/profefe) as a deployment with its service.

This installation it's not for production.
This installation is not for production.

```yaml
apiVersion: v1
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4 changes: 2 additions & 2 deletions docs/content/docs/introduciton.md
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Expand Up @@ -12,8 +12,8 @@ bref = ""
This project is a bridge between profefe and Kubernetes. At the moment it serves
two different binaries:

* `kubectl-profefe` a kubectl plugin that helps you to `caputre` pprof profiles,
storing them locally or in pprofefe. It uses `port-forwarding` to expose the
* `kubectl-profefe` a kubectl plugin that helps you to `capture` pprof profiles,
storing them locally or in profefe. It uses `port-forwarding` to expose the
pprof port locally.
* `kprofefe` is a cli that you can run as a cronjob in your kubernetes cluster.
It discovers running pods in your clusters, it downloads profiles and it
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