CloudWatch is the AWS-native place metrics, logs, and alarms live: every service in your account reports into it, and your alarms and dashboards are built on it. Every one of those signals originates inside your AWS boundary. APIContext measures the same APIs from outside it — from 125+ locations across AWS, GCP, Azure, and Akamai — and validates responses against their OpenAPI and FAPI 2.0 specs. Because APIContext emits native OpenTelemetry, those results can land in CloudWatch next to the resource metrics they explain.
Which platform produces which signal
| Signal | APIContext provides | CloudWatch provides |
|---|---|---|
| Vantage point | Outside your infrastructure — what customers and partners actually experience | Inside your AWS account — what each service reports about itself |
| Scope | Any API, on any cloud, including ones you do not own | AWS services and anything you push via the CloudWatch APIs |
| Network path telemetry | Yes — DNS, connection, TLS, transfer, and response broken out per hop; 30+ data points per call | Not collected — APIContext supplies it |
| API conformance testing | Yes — live OpenAPI, FAPI 2.0, and custom schema validation on every check | Not collected — APIContext supplies it |
| CASC quality score | Yes — composite score across latency, availability, geography, and conformance | Not collected — APIContext supplies it |
| Multi-step auth (FAPI, mTLS, DPoP) | Yes — native FAPI 2.0, mTLS, DPoP, PAR, PKCE, and JARM | Not applicable — CloudWatch observes, it does not authenticate |
| Synthetic checks | Yes — 125+ locations across four clouds, plus private nodes | CloudWatch Synthetics canaries, from AWS regions |
| Third-party and partner APIs | Yes — monitors endpoints you depend on but do not own or instrument | Only what your own code chooses to log |
| MCP / agentic AI monitoring | Yes — native MCP session testing, tool schema validation, per-tool latency | Not collected — APIContext supplies it |
| AWS resource metrics and logs | Not collected — CloudWatch supplies it | Yes — core strength |
| Alarms, dashboards, and AWS-native automation | Alerts with schema diff and trace | Yes — alarms wired into EventBridge, SNS, Auto Scaling, Lambda |
| Works together | Exports traces, metrics, and logs as native OTEL | Ingests them via the AWS Distro for OpenTelemetry |
What APIContext adds to CloudWatch
CloudWatch is authoritative about your account and blind to everything in front of it. A customer in Singapore resolving DNS to the wrong region, a certificate that stopped chaining correctly at the edge, a partner receiving a response your gateway logged as a 200 but which no longer matches its schema — none of that appears in a CloudWatch metric. APIContext measures it and sends the results in:
- Everything in front of the account. DNS, TLS, connection, and transfer timings measured from outside AWS, attributed to the hop responsible — the layers CloudWatch has no visibility into by design.
- Contract correctness, not just status codes. Live validation against OpenAPI specs, FAPI 2.0 security requirements, and your own business rules, so a fast 200 carrying a malformed payload is reported as the failure it is.
- The APIs outside your account. Third-party and partner endpoints your workloads depend on emit nothing to CloudWatch. APIContext measures them continuously and gives you SLA evidence you own.
What CloudWatch does that APIContext doesn't
Resource metrics for every AWS service, log ingestion and Logs Insights, alarms wired into EventBridge, SNS, Auto Scaling, and Lambda, and the AWS-native automation built on them are CloudWatch's domain — and APIContext does none of them. The division is easiest to see during an incident: APIContext reports that a payments endpoint began returning a schema-invalid response at 14:07 UTC from three regions. CloudWatch shows the Lambda concurrency ceiling your account hit at 14:05. Neither signal is worth much on its own.
How teams run both
CloudWatch stays the AWS-native control surface — alarms, dashboards, and automation — and APIContext becomes the external source feeding it. Teams typically alarm on APIContext conformance and CASC signals the same way they alarm on native metrics, so an API contract failure triggers the same runbook as an infrastructure threshold. APIContext also covers the ground CloudWatch Synthetics cannot: checks from outside AWS entirely, financial-grade authentication chains, and live spec conformance.
How to connect APIContext to CloudWatch
APIContext's OTLP exporter ships full payloads to an AWS Distro for OpenTelemetry collector, which writes metrics and logs into CloudWatch and traces into X-Ray. Conformance events can also be delivered by webhook into EventBridge or SNS for alarm and automation workflows. Nothing is installed in your stack. Most teams start with one high-value chain — a login flow, a payments call, a partner webhook — confirm the data lands in the right log group and namespace, then widen coverage endpoint by endpoint.
Frequently asked questions
- Is APIContext a CloudWatch competitor?
- No. CloudWatch is the AWS-native metrics, logs, and alarms service; APIContext is an outside-in API monitoring platform that generates telemetry for it. APIContext does not collect AWS resource metrics or provide log storage.
- Does APIContext replace CloudWatch Synthetics?
- CloudWatch Synthetics canaries run from AWS regions and check availability and scripted flows. APIContext runs from 125+ locations across four clouds plus private nodes, validates responses against OpenAPI and FAPI 2.0 specs, executes full mTLS and FAPI authentication chains, and produces CASC quality scores — then sends the results into CloudWatch.
- How does APIContext telemetry get into CloudWatch?
- Over OTLP into an AWS Distro for OpenTelemetry collector for metrics and logs, with traces to X-Ray. Conformance events can also arrive by webhook via EventBridge or SNS.