Business
Business dimension
Sooner or later, every leadership team asks what observability brings in, and why the bill is growing faster than the traffic. The business dimension answers with figures, cost models and explicit trade-offs, without repeating vendor talk.
Published and upcoming chapters
Section titled “Published and upcoming chapters”| Chapter | What you learn to do | Status |
|---|---|---|
| What a business or product owner can ask of observability | ask the engineering team the right questions, phrase an SLO, take your place in incidents | published |
| The Collector is the cost lever | cut the bill at the source: cardinality, sampling, routing | in review |
| Understanding pricing models | compare per-host, per-volume, per-series and per-user billing | planned; reading a bill line by line is covered in the CIO path, lesson 4 |
| Building the business case | put a figure on incident cost, MTTR and avoided loss | published in the CIO path, lesson 1; for AI, the GenAI method, part V |
| Sovereignty and architecture choices | trade off SaaS, self-managed open source and trusted cloud | planned; the selection method is in the CIO path, lesson 3 |
| Buying without lock-in | negotiate reversibility, data portability and exit | the clauses to ask for are in the CIO path, lesson 4; dedicated chapter planned |
| Running a telemetry budget | set up FinOps tracking of signals per team | published in the CIO path, lesson 4 |
Putting figures on it
Section titled “Putting figures on it”| Tool | Question it answers |
|---|---|
| Cost is decided at the Collector | how much each lever saves, before and after |
| MTTR business case | what faster detection is worth |
| Cardinality explosion | why the bill jumps orders of magnitude |
| GenAI economic exposure | what a blind spot costs on an AI service |
| Solution scorecard | which option to pick, with the same criteria for all |