At nth degree, we’re all about helping clients future-proof their data platforms—fast.
One of our recent successes? Partnering with Valley Health, a leading healthcare system, as they migrated from on-prem Splunk to Splunk Cloud. During the transition, we uncovered a serious issue: a fragile, hard-to-maintain syslog pipeline built on rsyslog servers and brittle hostname-to-sourcetype mappings.
We knew it couldn’t scale. So, we proposed a better way.
From Legacy to Leading Edge—with Cribl
Using our mesh™ subscription model, we designed and delivered a full syslog replacement using Cribl Stream. The results:
- Cribl Worker Groups for config consistency across nodes
- Data optimization before it even hits Splunk
- Smarter routing logic using inline patterns—no more lookup tables
- Multi-port ingestion for cleaner data flow and easier troubleshooting
All of this stood up, side-by-side with the legacy system for live validation—without any downtime.
Delivered in Days, Not Weeks
In under 72 hours (Only 8 Billable Hours), Valley Health had a fully deployed, cloud-ready ingestion layer:
- Full production cutover with zero disruption
- Real-time observability and easier troubleshooting
- A scalable platform ready for tomorrow’s needs
mesh in Action
This story is a perfect example of how mesh, our subscription-native delivery model, enables:
- On-demand expertise from Principal Cribl Architects
- OKR-aligned execution that maps directly to client outcomes
- Blazing-fast delivery—production-ready in days
Is rsyslog or syslog-ng holding you back?
Let’s talk about how nth degree and mesh can help you accelerate your cloud transformation and optimize every byte.
📩 Message us to get started – shawn@nthdegree.io | Book Discovery Session
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