Ingest Processor for Observability Cloud

Use Splunk Ingest Processor to turn high-volume logs into metrics — cutting cost and MTTD while keeping the signal.

60 minutes Author Tim Hard

As infrastructure and application environments become exceedingly complex, the volume of data they generate continues to grow significantly. This increase in data volume and variety makes it challenging to gain actionable insights and can impact problem identification and troubleshooting efficiencies. Additionally, the cost of storing and accessing this data can skyrocket. Many data sources, particularly logs and events, provide critical visibility into system operations. However, in most cases, only a few details from these extensive logs are actually needed for effective monitoring and alerting.

Common Challenges:

To address these challenges, Splunk Ingest Processor provides a powerful new feature: the ability to convert log events into metrics. Metrics are more efficient to store and process, allowing for faster identification of issues, thereby reducing Mean Time to Detection (MTTD). When retaining the original log or event is necessary, they can be stored in cheaper storage solutions such as S3, reducing the overall cost of data ingestion and computation required for searching them.

Solution:

Outcomes:

In this workshop you’ll have the opportunity to get hands on with Ingest Processor and Splunk Observability Cloud to see how it can be used to address the challenges outlined above.