# Know what's wrong in production immediately.

When your application isn't performing reliably, you need to know right away — and you need to diagnose root cause quickly. APIContext gives SRE teams cross-cloud, independent end-to-end monitoring of your entire solution, the way your customers use it. Get paged before tickets land. Tell network from infra from app in seconds.

### Outside-in detection
- MTTI in seconds
- SLO burn alerts
- Pre-prod & prod
- Routes into your tools

incident · INC-2614 · payments-api · live  
**MTTI** · 22s  
**P95** · CHECKOUT · EU-WEST 523ms ANOMALY

### Symptom
checkout p95 up in eu-west

### ROOT CAUSE
**detected**  
**Cause**
- TLS regression · CDN pop  
detected from eu-west external probes · 10 minutes before customer ticket  
- **MTTR** · 7m 14s  
- **MTTI** 22s  
- **MTTR** 7m 14s  
- tickets pre-empted 14  
- uptime 0m 03s

**80%** reduction in mean time to issue identification  
**24/7** external validation  
**125+** global monitoring locations  
**OTEL** native incident signal

## Get alerted before customers notice.

Run functional checks around the clock and alert on API, network, infrastructure, or workflow behavior that affects reliability.

- Immediate alerting into existing tools
- External customer-perspective monitoring
- Checks for pre-production and production

### Alerts
- 5 active  
- p95 up +400ms · payments  
- PagerDuty · payments-oncall · P1→  
- 5xx spike · auth-svc  
- Slack · #incident-auth · P2→  
- SLO burn rate · 4x · checkout  
- OpsGenie · sre-primary · P1→  
- TLS regression · cdn-edge  
- Jira · INC ticket · P3→  
- regional drift · ap-south  
- ServiceNow · CHG-auto · P3→

## Diagnose

### Identify whether the issue is network, infrastructure, or application.

APIContext gives SRE teams endpoint, region, auth, workflow, and timing evidence in one place.

- End-to-end timing details
- Cross-cloud and regional comparison
- Traceable API workflow results
- Root cause attribution

#### Breakdown
- **Network** · 42%  
  - TLS handshake · eu-west pop 380ms 42%  
- **Infrastructure** · 18%  
  - load balancer routing 92ms 18%  
- **Application** · 40%  
  - service-to-service hops 168ms 40%

## Prove reliability with measurable SLAs.

Use real-world measurements to define reliability goals, report on service levels, and guide remediation.

- External end-to-end monitoring from the regions and cloud data centers stakeholders use
- Accurate 24/7 data based on production scenarios customers depend on
- SLO, SLA, security, and quality reporting that different teams can trust
- Integrations with observability, incident, reporting, and DevOps workflows

### Error Budgets
- **Payments API** · availability burn 1.2x  
  - target 99.95%  
  - 28% of budget consumed  
- **Checkout** · latency p95 < 400ms burn 4.1x  
  - target 99%  
  - 71% of budget consumed  
- **Auth** · OAuth handshake burn 0.4x  
  - target 99.99%  
  - 12% of budget consumed  
- **Search** · correctness burn 1.6x  
  - target 99.5%  
  - 44% of budget consumed

healthy 3 at risk 1 independent · third-party

> The analysis of issues and research for possible solutions helped us gain insight about our performance.

**David Ting** Nylas

## Give SRE teams production clarity.

Use APIContext to detect, diagnose, and prove API reliability from the outside in.