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Add docs for accessing dashboard through private load balancer #1907

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Merged
merged 5 commits into from
Feb 25, 2021
Merged

Add docs for accessing dashboard through private load balancer #1907

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35dfca1
Add docs for accessing dashboard through private load balancer
deliahu Feb 24, 2021
1a94e65
Merge branch 'master' into docs-private-grafana-access
Feb 25, 2021
665a4b0
Merge branch 'master' into docs-private-grafana-access
RobertLucian Feb 25, 2021
084b0be
Update find_missing_docs_links.py
deliahu Feb 25, 2021
dde3e35
Update find_missing_docs_links.py
deliahu Feb 25, 2021
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2 changes: 2 additions & 0 deletions dev/find_missing_docs_links.py
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Original file line number Diff line number Diff line change
Expand Up @@ -118,6 +118,8 @@ async def check_all_http_links(http_link_infos, errors):
src_file, line_num, link, _, _ = link_info
if link in links:
continue
if "://localhost:" in link:
continue
links.add(link)
tasks.append(
asyncio.ensure_future(check_http_link(session, src_file, line_num, link, errors))
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6 changes: 6 additions & 0 deletions docs/workloads/realtime/metrics.md
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Expand Up @@ -46,6 +46,12 @@ URL:
cortex env list
```

If your operator load balancer is configured to be internal, there are a few options for accessing the dashboard:

1. Access the dashboard from a machine that has VPC Peering configured to your cluster's VPC, or which is inside of your cluster's VPC
1. Run `kubectl port-forward -n default grafana-0 3000:3000` to forward Grafana's port to your local machine, and access the dashboard on [http://localhost:3000/](http://localhost:3000/) (see instructions for setting up `kubectl` on [AWS](../../clusters/aws/kubectl.md) or [GCP](../../clusters/gcp/kubectl.md))
1. Set up VPN access to your cluster's VPC ([docs](https://docs.aws.amazon.com/vpc/latest/userguide/vpn-connections.html))

### Default credentials

The dashboard is protected with username / password authentication, which by default are:
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