Getting Data In

Archiving Best Practices for a Clustered Environment

marxsabandana
Path Finder

We currently have a C1 Architecture (3 clustered indexers/1 search head, replication factor of 3) and would like to ask if there are any best practices and guidelines on how to do it ourselves?

I've checked the docs and somehow it is indicated that having a replication factor of more than 3 can become more complicated to archive. Please see the excerpt below from https://docs.splunk.com/Documentation/Splunk/8.2.4/Indexer/Automatearchiving :

The problem of archiving multiple copies

Because indexer clusters contain multiple copies of each bucket. If you archive the data using the techniques described earlier in this topic, you archive multiple copies of the data.

For example, if you have a cluster with a replication factor of 3, the cluster stores three copies of all its data across its set of peer nodes. If you set up each peer node to archive its own data when it rolls to frozen, you end up with three archived copies of the data. You cannot solve this problem by archiving just the data on a single node, since there's no certainty that a single node contains all the data in the cluster.

The solution to this would be to archive just one copy of each bucket on the cluster and discard the rest. However, in practice, it is quite a complex matter to do that. If you want guidance in archiving single copies of clustered data, contact Splunk Professional Services. They can help design a solution customized to the needs of your environment.

Labels (2)
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Best Practices: Splunk auto adjust pipeline queue

When you enable autoAdjustQueue in Splunk, maxSize should be understood as the queue size Splunk starts with ...

Laser Bananas and Edge Hubs: Exploring Operational Technology (OT) Data Through a ...

  OT is a different environment to traditional IT and can have interesting challenges when interfacing the ...

Event Series: Mastering AI Tokenomics and Splunk Agent Observability

Beyond the Black Box: Correlating AI Performance and Tokenomics with Splunk Agent Observability   As ...