Update varnishblog

_posts/2023-02-07-varnish.md

@@ -21,8 +21,7 @@ Varnish Cache is a web application accelerator also known as a caching HTTP reve
 
 ## Varnish vs Squid
 
-Squid and Varnish are both open source tools. Varnish with 908 GitHub stars and 216 forks on GitHub appears to be more popular than Squid with 560 GitHub stars and 202 GitHub forks. We use open source version of Varnish that lacks persistent storage and range requests. For most usecases this is completely sufficient as even caching in only 2GB of RAM still gives >99.5% cache hit rate. 
-
+Squid and Varnish are both open source tools. Varnish with 908 GitHub stars and 216 forks on GitHub appears to be more popular than Squid with 560 GitHub stars and 202 GitHub forks. Follow [squid-vs-varnish stackups](https://stackshare.io/stackups/squid-vs-varnish) for more details. We use open source version of Varnish that lacks persistent storage and range requests. For most usecases this is completely sufficient as even caching in only 2GB of RAM still gives >99.5% cache hit rate. 
 ![varnish vs squid in popularity](/img/posts/popularity.svg)
 
 <table>
@@ -42,23 +41,11 @@ High-performance HTTP accelerator. Varnish Cache is a web application accelerato
 
 ## Deployment Status
 
-Currently, Varnish is deployed at AGLT2 and MWT2.
+Currently, Varnish is deployed at two tier2 centers of the ATLAS experiment at the LHC: [AGLT2](https://www.aglt2.org/) and [MWT2](https://hep.uchicago.edu/atlas/mwt2/).
 
 - **AGLT2:** Two instances were deployed as primary frontier caches in summer 2022. Since then there was no issues observed with the instances.
 - **MWT2:** Recently deployed both a v4a and a v4cvmfs instances, serving all three sub-sites (UC, IU, UIUC) and Analysis Facility.
 
-## Monitoring
-
-Varnish is monitored in both Elasticsearch and [ATLAS MRTG monitoring](http://wlcg-squid-monitor.cern.ch/snmpstats/mrtgatlas2/indexatlas2.html) like squid does. Reports request/fetch, in/out data rate, CPU usage, objects and file descriptors.
-
-### Varnish and Squid instance SNMP monitoring
-
-![Varnish and Squid metrics](/img/posts/VarnishMetrics.svg)
-
-### Varnish and Squid monitoring in Elasticsearch
-
-![Varnish and squid in ES](/img/posts/squidVarnishInES.svg)
-
 ## Performance Test Results
 
 ### CVMFS
@@ -148,5 +135,17 @@ Shortest transaction:           0.00
 </tr>
 </table>
 
+## Monitoring
+
+Varnish is monitored in both [Elasticsearch](https://atlas-kibana.mwt2.org:5601/s/squids/app/dashboards?auth_provider_hint=anonymous1#/view/98e4a510-32c9-11ed-afcf-d91dad577662?_g=(filters%3A!()%2CrefreshInterval%3A(pause%3A!t%2Cvalue%3A0)%2Ctime%3A(from%3Anow-24h%2Fh%2Cto%3Anow))) and [ATLAS MRTG monitoring](http://wlcg-squid-monitor.cern.ch/snmpstats/mrtgatlas2/indexatlas2.html) like squid does. Reports request/fetch, in/out data rate, CPU usage, objects and file descriptors.
+
+### Varnish and Squid instance SNMP monitoring
+
+![Varnish and Squid metrics](/img/posts/VarnishMetrics.svg)
+
+### Varnish and Squid monitoring in Elasticsearch
+
+![Varnish and squid in ES](/img/posts/squidVarnishInES.svg)
+
 ## Summary
 We showed in this post that Varnish is faster, needs less resources, and it is easy to monitor. It's a step forward toward efficiently caching Physics data over HTTP. Please refer to the chart repo on how to make deployments, and we encourage you to try this out and let us know if you have any feedback or suggestions that would help us improve this chart and make it more beneficial to users. For discussion, news and troubleshooting, the [SLATE Slack workspace](https://slack.slateci.io/) is the best place to reach us!