Fix Snowplow URL

doc/development/snowplow/index.md

@@ -170,12 +170,12 @@ Snowplow JavaScript adds [web-specific parameters](https://docs.snowplowanalytic
 
 For different stages in the processing pipeline, there are several tools that monitor Snowplow events tracking:
 
-- [Product Intelligence Grafana dashboard](https://dashboards.gitlab.net/d/product-intelligence-main/product-intelligence-product-intelligence?orgId=1) monitors backend events sent from GitLab.com instance to collectors fleet. This dashboard provides information about: 
+- [Product Intelligence Grafana dashboard](https://dashboards.gitlab.net/d/product-intelligence-main/product-intelligence-product-intelligence?orgId=1) monitors backend events sent from GitLab.com instance to collectors fleet. This dashboard provides information about:
   - The number of events that successfully reach Snowplow collectors.
-  - The number of events that failed to reach Snowplow collectors. 
+  - The number of events that failed to reach Snowplow collectors.
   - The number of backend events that were sent.
 - [AWS CloudWatch dashboard](https://console.aws.amazon.com/cloudwatch/home?region=us-east-1#dashboards:name=SnowPlow;start=P3D) monitors the state of the events processing pipeline. The pipeline starts from Snowplow collectors, through to enrichers and pseudonymization, and up to persistence on S3 bucket from which events are imported to Snowflake Data Warehouse. To view this dashboard AWS access is required, follow this [instruction](https://gitlab.com/gitlab-org/growth/product-intelligence/snowplow-pseudonymization#monitoring) if you are interested in getting one.
-- [SiSense dashboard](https://app.periscopedata.com/app/gitlab/417669/Snowplow-Summary-Dashboard) provides information about the number of good and bad events imported into the Data Warehouse, in addition to the total number of imported Snowplow events. 
+- [SiSense dashboard](https://app.periscopedata.com/app/gitlab/417669/Snowplow-Summary-Dashboard) provides information about the number of good and bad events imported into the Data Warehouse, in addition to the total number of imported Snowplow events.
 
 For more information, see this [video walk-through](https://www.youtube.com/watch?v=NxPS0aKa_oU).
 
@@ -183,7 +183,7 @@ For more information, see this [video walk-through](https://www.youtube.com/watc
 
 - [Snowplow data structure](https://docs.snowplowanalytics.com/docs/understanding-your-pipeline/canonical-event/)
 - [Our Iglu schema registry](https://gitlab.com/gitlab-org/iglu)
-- [List of events used in our codebase (Event Dictionary)](https://metrics.gitlab.com/snowplow.html)
+- [List of events used in our codebase (Event Dictionary)](https://metrics.gitlab.com/snowplow/)
 - [Product Intelligence Guide](https://about.gitlab.com/handbook/product/product-intelligence-guide/)
 - [Service Ping Guide](../service_ping/index.md)
 - [Product Intelligence Direction](https://about.gitlab.com/direction/product-intelligence/)

doc/development/snowplow/review_guidelines.md

@@ -14,7 +14,7 @@ general best practices for code reviews, refer to our [code review guide](../cod
 ## Resources for reviewers
 
 - [Snowplow Guide](index.md)
-- [Event Dictionary](https://metrics.gitlab.com/snowplow.html)
+- [Event Dictionary](https://metrics.gitlab.com/snowplow/)
 
 ## Review process