10,000 Errors, 10 Real Problems: From Syslog Noise to Root Cause

[Jeff Boltz1]

10,000 Errors, 10 Real Problems: From Syslog Noise to Root Cause

Over the past several months, I've been working through a platform governance initiative focused on recurring ServiceNow syslog warnings.

Like many organizations, we had accumulated a large volume of messages that fell into the category of:

Invalid query detected

Unknown field <field_name> in table <table_name>

The initial challenge wasn't necessarily finding the errors. Splunk made that relatively straightforward.

The challenge was answering the questions that come after:

• Which errors actually matter?
• What is the true source?
• Is the issue custom or OOB?
• Is it a ServiceNow problem or an organizational problem?
• Who owns the investigation?
• What should happen next?

What started as a technical log review evolved into a fairly repeatable investigation framework:

Detection

↓

Error Family Identification

↓

Investigation

↓

Ownership Determination

↓

Incident / Vendor Escalation

↓

Validation

↓

Remediation

One of the biggest lessons learned was that:

The dashboard is not the answer. The dashboard is the starting point.

Observability tools can tell us:

What is happening?

but investigations are still required to answer:

Why is it happening?

Who owns it?

What should we do about it?

Another lesson was the importance of distinguishing correlation from causation.

Several investigations initially pointed in one direction, only to reveal a completely different root cause once reproduction, stack traces, and SME analysis were brought into the process.

A few of the investigation themes included:

• AI Search indexing
• Content Taxonomy
• Employee Center
• SLA evaluation logic
• Catalog variables
• Scheduled Jobs
• Dynamic query generation
• OOB versus custom ownership determination

What emerged was less of a troubleshooting exercise and more of a governance process focused on converting operational noise into actionable engineering work.

I'm curious how others in the community approach this challenge:

Discussion Questions

1. How do you prioritize recurring syslog warnings in your environment?
2. Do you have a formal ownership model for platform findings?
3. When do you decide to open a ServiceNow case versus assigning an internal team?
4. Have you created any dashboards or reporting that help drive root-cause investigations?
5. How do you distinguish between acceptable platform noise and findings that warrant remediation?

I'd be interested in comparing approaches and hearing what has worked well in other ServiceNow organizations.

Thanks!

Jeff Boltz