Splunk
Using ForgeOps alongside Splunk
You don't have to replace Splunk. An organization with real Splunk investment usually has dashboards, saved searches, security workflows, and alerting tied to it; that's not something to throw away for a narrower incident tool. This is about what ForgeOps adds next to it, not instead of it. See ForgeOps vs. Splunk for the fuller comparison.
Splunk keeps doing
- Infrastructure monitoring
- Log ingestion and search
- Metrics and traces at scale
- Broad observability across your stack
- Security / SIEM
ForgeOps adds
- Automatic incident detection
- Deployment correlation
- Customer impact
- Probable cause
- Investigation timeline
- Response & resolution
Splunk continues to provide your observability infrastructure. ForgeOps provides an opinionated incident investigation workflow around the signals your engineering team already cares about.
A real production incident
The same incident shown on ForgeOps' own homepage and in the live demo, walked through in order: a bad deploy to a Rails checkout flow, and how ForgeOps handled it from the first signal to resolution.
Deploy ships
Release a1b2c3d goes out to Storefront Web
Latency degrades
CartController#show latency up 38%
Error rate spikes
Errors up 1,200% (2 → 26); ForgeOps opens a High-severity incident, already correlated to a1b2c3d
Team alerted
Slack notification delivered
Acknowledged
On-call engineer acknowledges the incident
Customer impact confirmed
Real checkout attempts start failing; affected customers tracked as they accumulate
Resolved
Issue fixed and resolved
None of this data is exotic; Splunk could show you the same deploy marker, the same latency trend, the same error spike, if you went looking for each one yourself. The difference isn't that Splunk can't provide this data. The difference is what the product is organized around: ForgeOps starts from the incident and pulls the evidence to it automatically, rather than asking you to go find each signal in turn.
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