Skip to content

Update /welcome-to-elastic link in AWS firehose docs #3231

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 13, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions docs/en/aws-firehose/aws-firehose-troubleshooting.asciidoc
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ You can use the monitoring tab in the Firehose console to ensure there are incom
[role="screenshot"]
image::images/firehose-monitoring.png[Firehose monitoring page showing some charts of delivery success percentage and throughput]

By default Firehose also logs to a Cloudwatch log group with the name `/aws/kinesisfirehose/<delivery stream name>`, which is automatically created when the delivery stream is created.
By default Firehose also logs to a Cloudwatch log group with the name `/aws/kinesisfirehose/<delivery stream name>`, which is automatically created when the delivery stream is created.
Two log streams, `DestinationDelivery` and `BackupDelivery`, are created in this log group.

The backup settings in the delivery stream specify how failed delivery requests are handled.
Expand All @@ -23,7 +23,7 @@ See <<aws-firehose-config-backup-settings>> for details on configuring backups t
[[aws-firehose-scaling]]
== Scaling
Firehose can https://docs.aws.amazon.com/firehose/latest/dev/limits.html[automatically scale] to handle very high throughput.
If your Elastic deployment is not properly configured for the data volume coming from Firehose, it could cause a bottleneck, which may lead to increased ingest times or indexing failures.
If your Elastic deployment is not properly configured for the data volume coming from Firehose, it could cause a bottleneck, which may lead to increased ingest times or indexing failures.

There are several facets to optimizing the underlying Elasticsearch performance, but Elastic Cloud provides several ready-to-use hardware profiles which can provide a good starting point.
Other factors which can impact performance are https://www.elastic.co/guide/en/elasticsearch/reference/current/size-your-shards.html[shard sizing], https://www.elastic.co/guide/en/elasticsearch/reference/current/tune-for-indexing-speed.html[indexing configuration], and https://www.elastic.co/guide/en/elasticsearch/reference/current/index-lifecycle-management.html[index lifecycle management (ILM)].
Expand All @@ -32,5 +32,5 @@ Other factors which can impact performance are https://www.elastic.co/guide/en/e
[[aws-firehose-support]]
== Support

If you encounter further problems, please contact Elastic support by following the instructions https://www.elastic.co/guide/en/welcome-to-elastic/current/get-support-help.html[here].
If you encounter further problems, please contact Elastic support by following the instructions {estc-welcome-current}/get-support-help.html[here].