What do you risk breaking by changing this component?
Before any IT change, the question isn't "will it work" but "what will it touch". Here's how to answer it — with or without a dedicated tool.
Signs of missing impact analysis
- A seemingly isolated change caused an outage on a system with no obvious link.
- A change's impact is discovered after the fact, not before.
- Impact analysis relies on one person's memory, not on verifiable data.
An impact analysis is only reliable if it's based on a real dependency graph — reconstructing impact from memory, for every single change, doesn't scale.
How to run an impact analysis, step by step
1. Identify everything that directly depends on the component
Not just the obvious technical links — also the integrations, scheduled jobs and service accounts connected to it.
2. Trace second-order dependencies
What depends on what depends on the component is often the real breaking point — impact doesn't stop at the first level.
3. Check the linked non-technical elements
Contracts, service obligations, business processes — a technical change can have contractual or regulatory consequences.
4. Document the analysis before acting, not after
An impact analysis written before the change lets you check afterwards whether it was right — and learn for next time.
How Alerion automates this analysis
The dependency graph replaces manual guesswork with a verifiable calculation.
What do I risk breaking if I change this?
Alerion's impact analysis simulates the consequences of a change before it's executed, based on the real dependency graph — not a manual estimate.
What does this application depend on?
The blast radius is computed automatically from the IT map — explore impact paths in one click.
See IT mapping in detail →How do I document this analysis?
Every change generates an archivable Markdown export (runbook), so you can check afterwards whether the analysis was right.
Other problems this approach covers
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