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fix typos
revert from less ideal wording more typos
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7 changed files with 19 additions and 20 deletions
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@ -9,18 +9,18 @@ Per-pod HTTP Requests
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### Background
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*The [full walkthrough](/docs/walkthrough.md) sets up a the background for
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*The [full walkthrough](/docs/walkthrough.md) sets up the background for
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something like this*
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Suppose we have some frontend webserver, and we're trying to write an
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configuration for the Promtheus adapter so that we can autoscale it based
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Suppose we have some frontend webserver, and we're trying to write a
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configuration for the Prometheus adapter so that we can autoscale it based
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on the HTTP requests per second that it receives.
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Before starting, we've gone and instrumented our frontend server with
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a metric, `http_requests_total`. It is exposed with a single label,
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`method`, breaking down the requests by HTTP verb.
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We've configured our Prometheus to collect the metric, and our promethues
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We've configured our Prometheus to collect the metric, and it
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adds the `kubernetes_namespace` and `kubernetes_pod_name` labels,
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representing namespace and pod, respectively.
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@ -179,7 +179,7 @@ template:
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group-resource, plus the label for namespace, if the group-resource is
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namespaced.
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- `GroupBy`: a comma-separated list of labels to group by. Currently,
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this contains the group-resoure label used in `LabelMarchers`.
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this contains the group-resource label used in `LabelMatchers`.
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For instance, suppose we had a series `http_requests_total` (exposed as
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`http_requests_per_second` in the API) with labels `service`, `pod`,
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@ -20,7 +20,7 @@ Detailed instructions can be found in the Kubernetes documentation under
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[Horizontal Pod
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Autoscaling](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-custom-metrics).
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Make sure that you've properly configured metrics-server (as is default in
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Make sure that you've properly configured metrics-server (as default in
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Kubernetes 1.9+), or enabling custom metrics autoscaling support will
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disable CPU autoscaling support.
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@ -34,15 +34,14 @@ significantly different.
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In order to follow this walkthrough, you'll need container images for
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Prometheus and the custom metrics adapter.
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It's easiest to deploy Prometheus with the [Prometheus
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Operator](https://coreos.com/operators/prometheus/docs/latest/), which
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The [Prometheus Operator](https://coreos.com/operators/prometheus/docs/latest/),
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makes it easy to get up and running with Prometheus. This walkthrough
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will assume you're planning on doing that -- if you've deployed it by hand
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instead, you'll need to make a few adjustments to the way you expose
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metrics to Prometheus.
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The adapter has different images for each arch, and can be found at
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`directxman12/k8s-prometheus-adapter-${ARCH}`. For instance, if you're on
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The adapter has different images for each arch, which can be found at
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`directxman12/k8s-prometheus-adapter-${ARCH}`. For instance, if you're on
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an x86_64 machine, use the `directxman12/k8s-prometheus-adapter-amd64`
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image.
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@ -172,7 +171,7 @@ for the Operator to deploy a copy of Prometheus.
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This walkthrough assumes that Prometheus is deployed in the `prom`
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namespace. Most of the sample commands and files are namespace-agnostic,
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but there are a few commands or pieces of configuration that rely on
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but there are a few commands or pieces of configuration that rely on that
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namespace. If you're using a different namespace, simply substitute that
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in for `prom` when it appears.
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