# Observability & audit — Use case

> Real-time API and AI telemetry on top of Elasticsearch, audit enforced at the persistence layer, and an evidence packet the regulator actually accepts.

*Platform teams · Telemetry · For platform teams*

## Real-time telemetry. Auditor-grade evidence. Same plane.

Every request, every change, every grant — captured at the framework boundary, indexed in Elasticsearch, queryable by humans and exportable to regulators.

[Request a demo](https://calendly.com/apinizer/15min) · [Read the docs](https://apinizer.com/developers/docs)

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## The problem

*The problem*

### Observability and audit are usually two separate budgets — and two separate gaps.

Ops gets a dashboard. Compliance gets a spreadsheet. The two don't reconcile, and when a regulator asks 'what happened on Wednesday at 14:32', someone joins three tools and prays. Apinizer treats both as the same plane: the audit ledger is queryable telemetry, and the telemetry is auditor-grade.

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## Capabilities

### Audit at the persistence layer

Enforced at the framework boundary — bypass is rejected, not policed by convention. Who, what, when, from where; immutable, exportable, regulator-shaped.

### Elasticsearch-backed analytics

Every request indexed in real time — request, response, latency, headers (with PII masked), and the policy chain that handled it.

### Anomaly detection

EMA + Bollinger bands on traffic shape, latency, and error rate. Set sensitivity once; the gateway opens alarms only when the curve actually breaks.

### Severity-aware alarms

Four grades, nine action types, fifteen-plus connectors. P1 reaches on-call; P3 lands in the daily digest.

### Forensic timelines

Join request logs to audit events to policy changes — for any window, any consumer, any endpoint. A single query answers the regulator.

### Per-tier dashboards

Platform sees everything. Project owners see their domain. Environment operators see the lane they run. Same data, different scopes.

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## Real-world examples

### Banking

**Scenario:** Istanbul Tier-1 bank ships BDDK quarterly evidence as one export

**Outcome:** What used to be a three-week project becomes a saved query. Every grant, change, and request joins on one timeline.

**Metric:** 3 weeks → 1 query

### Healthcare

**Scenario:** Munich hospital network detects a quiet PHI exfiltration attempt

**Outcome:** Traffic shape on a low-volume endpoint drifted 4× in three hours. Anomaly fired in 12 minutes; SOC stopped the integration before the next batch.

**Metric:** 12 min to detection

### Government

**Scenario:** Riyadh ministry serves a regulator's 'who, what, when' query in 90 seconds

**Outcome:** Audit is queryable — not a forensic build-out. The regulator's request closes the same business day.

### Telecom

**Scenario:** Madrid carrier joins customer support tickets to API audit timelines

**Outcome:** Support ticket → consumer → audit chain → root cause. Mean time to explain drops from days to minutes.

### Insurance

**Scenario:** Amsterdam insurer alerts on claim-pricing drift in 8 minutes

**Outcome:** Bollinger bands on pricing API response distribution. A bad model push moved the curve; alarm fired before customers noticed.

**Metric:** 8 min to alarm

### Energy

**Scenario:** Prague utility audits SCADA gateway access for 14000 sessions

**Outcome:** Operators see only their substation; auditors see the union. The annual compliance file is generated automatically on December 31.

### Public sector

**Scenario:** Rome ministry exports GDPR Article 30 records of processing

**Outcome:** Personal-data flows joined to consent records, retention windows, and access logs. Article 30 is a saved view, not a yearly project.

### Banking

**Scenario:** Baku bank catches an SLA breach on payments before the regulator does

**Outcome:** Anomaly + severity-aware fan-out: P1 reached on-call in 90 seconds; root cause posted to the SOC in 7 minutes.

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## Capture, index, query, alarm — in one plane.

- **01 · Capture** — Every request, change, grant, and view is captured at the framework boundary — no opt-in, no convention.
- **02 · Index** — Telemetry and audit land in Elasticsearch in real time. PII masked on the way in; raw bodies optional and scoped.
- **03 · Query** — Platform, project, environment views; saved searches; ad-hoc joins. Regulator-shaped exports on a schedule.
- **04 · Alarm** — Anomaly + severity policy fan out across nine action types and fifteen-plus connectors. P1 to on-call, P3 to digest.

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## Recommended modules

- [Analytics Engine](https://apinizer.com/products/analytics-engine) — Elasticsearch-backed real-time analytics for every request and policy decision.
- [Monitoring](https://apinizer.com/products/monitoring) — Uptime probes, anomaly detection, and severity-aware action chains in one module.
- [API Gateway](https://apinizer.com/products/api-gateway) — The runtime where audit is enforced at the persistence layer, not bolted on later.
- [AI Gateway](https://apinizer.com/products/ai-gateway) — Same observability and audit for LLM, MCP, and agent traffic.

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## Resources

- [Observability overview](https://docs.apinizer.com/en) — How telemetry and audit share the same plane — and what regulators look for.
- [Analytics Engine](https://apinizer.com/products/analytics-engine) — Real-time per-endpoint, per-consumer, per-region telemetry on Elasticsearch.
- [Monitoring](https://apinizer.com/products/monitoring) — Uptime, anomaly detection, severity-aware alarms — one module.
- [Compliance posture](https://apinizer.com/solutions/kvkk-gdpr-bddk-compliance) — Mapping to BDDK, KVKK, GDPR, ISO 27001 evidence requirements.
- [APIops manifests](https://apinizer.com/developers/apiops) — Changes flow through Git; audit captures the apply, the actor, and the diff.
- [Architecture overview](https://docs.apinizer.com/en/concepts/architecture) — Where audit and telemetry live in the data plane.

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## Related use cases

- [Three-tier permissions](https://apinizer.com/solutions/three-tier-permissions) — For platform teams
- [AI observability](https://apinizer.com/solutions/ai-observability) — For AI teams
- [KVKK / GDPR / BDDK compliance](https://apinizer.com/solutions/kvkk-gdpr-bddk-compliance) — For executives
- [API lifecycle management](https://apinizer.com/solutions/api-lifecycle-management) — For platform teams

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## Next step

*Telemetry meets evidence*

**One plane for ops and audit.**

A 30-minute walkthrough — capture, index, query, alarm — on a Kubernetes of your choice.

[Book a Demo](https://calendly.com/apinizer/15min) · [Read the docs](https://apinizer.com/developers/docs)

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## Links

- Products: https://apinizer.com/products
- AI Gateway: https://apinizer.com/products/ai-gateway
- Solutions: https://apinizer.com/solutions
- Pricing: https://apinizer.com/pricing
- Developers: https://apinizer.com/developers
- Documentation: https://docs.apinizer.com/index-en
- Blog: https://apinizer.com/blog
- Contact: https://apinizer.com/company/contact

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