Update docs

.github/workflows/release.yaml

@@ -33,5 +33,7 @@ jobs:
 
       - name: Run chart-releaser
         uses: helm/[email protected]
+        with:
+          skip_existing: true
         env:
           CR_TOKEN: "${{ secrets.GITHUB_TOKEN }}"

README.md

@@ -1,19 +1,30 @@
 # Kubernetes ➡️ Datadog logs sender
 
-Helm chart to set up sending logs from a Kubernetes cluster to Datadog. [Vector](https://vector.dev) is used under the
-hood.
+Helm chart to set up forwarding logs from a Kubernetes cluster to Datadog.
+[Vector](https://vector.dev) is used under the hood.
 
 This is an example of how to use Vector to send logs to Datadog author couldn't find when
 he was trying to set it up.
 It's also the author's exercise to learn writing Helm charts.
 
-It is based on Axiom's [instruction](https://axiom.co/docs/send-data/kubernetes) on setting up Vector.
+It is based on instructions published on Axiom [website](https://axiom.co/docs/send-data/kubernetes) on setting up
+Vector.
 
 ## Features
 
 * Lightweight and fast.
 * Supports excluding logs from log collection by service name and log level.
 
+## Architecture
+
+![Architecture](./docs/architecture-diagram.svg)
+
+Sender-Aggregator pattern is used to send logs to Datadog:
+
+* Senders are deployed on each node in the cluster. They collect logs from the node, process and filter them, and then
+  send logs to the aggregator.
+* Aggregator collects logs from all senders and then sends them to Datadog.
+
 ## Installation
 
 ### Helm
@@ -33,7 +44,9 @@ It is based on Axiom's [instruction](https://axiom.co/docs/send-data/kubernetes)
    ```
 
 ### ArgoCD Application
+
 Example of ArgoCD Application manifest:
+
 ```yaml
 apiVersion: argoproj.io/v1alpha1
 kind: Application
@@ -58,16 +71,6 @@ spec:
       selfHeal: true
 ```
 
-## Architecture
-
-![Architecture](./docs/architecture-diagram.svg)
-
-Sender-Aggregator pattern is used to send logs to Datadog:
-
-* Senders are deployed on each node in the cluster. They collect logs from the node, process and filter them, and then
-  send logs to the aggregator.
-* Aggregator collects logs from all senders and then sends them to Datadog.
-
 ## Points of Improvement
 
 * Consider having thin senders and doing parsing and filtering in the aggregator instance.