Monitoring

An index and topic collection covering API monitoring, application performance monitoring, observability, uptime monitoring, log aggregation, error tracking, distributed tracing, and incident response. API monitoring spans synthetic checks against public endpoints, real-user and application performance monitoring, logs and metrics collection, distributed tracing across microservices, error tracking, status page communication, and on-call paging when something breaks. This collection brings together commercial observability platforms like Datadog, New Relic, Dynatrace, and Splunk; open-source projects like Prometheus, Grafana, OpenTelemetry, Jaeger, and Zipkin; uptime and synthetic monitoring services like Pingdom, Checkly, Better Stack, and UptimeRobot; error trackers like Sentry, Rollbar, Bugsnag, and Honeybadger; and incident response platforms like PagerDuty, Opsgenie, Incident.io, and FireHydrant.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

How we profile Monitoring

Each block below is one kind of artifact we hold for Monitoring. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

Features 8

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Synthetic and Uptime Monitoring

Scheduled checks executed from globally distributed probes that hit HTTP, GraphQL, and gRPC endpoints to verify availability, response codes, latency, and content assertions bef...

Application Performance Monitoring (APM)

Instrumentation of application code to capture request rates, latency percentiles, error rates, throughput, and slow endpoints across services, with code-level visibility into b...

Distributed Tracing

End-to-end traces that follow a single request across microservice boundaries, captured via OpenTelemetry, Jaeger, Zipkin, or vendor SDKs to expose where latency and errors accu...

Log Aggregation and Search

Centralized collection, indexing, and search of structured and unstructured logs from applications, infrastructure, and edge components, with retention tiers and query languages...

Metrics and Time-Series

Collection of dimensional metrics from infrastructure, runtimes, and custom application counters into time-series databases like Prometheus, VictoriaMetrics, or vendor backends ...

Error and Crash Tracking

Capture of exceptions, stack traces, and user context from frontends and backends, with deduplication, regression detection, and release tracking provided by tools like Sentry, ...

Alerting and Incident Response

Threshold and anomaly-based alerts that flow into on-call rotations, escalation policies, and incident workflows handled by PagerDuty, Opsgenie, Incident.io, FireHydrant, and si...

Status Pages and Communication

Public and private status pages that communicate incident status, scheduled maintenance, and component health to customers and stakeholders during and after incidents.

Scroll within the panel for all 8 ·

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Monitoring Context

7 classes · 17 properties

JSON-LD

JSON Schema 2

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

Incident

15 properties

JSON SCHEMA

SyntheticCheck

12 properties

JSON SCHEMA

JSON Structure 2

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Monitoring Incident Structure

15 properties

JSON STRUCTURE

Monitoring Synthetic Check Structure

12 properties

JSON STRUCTURE

Examples 2

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Monitoring Incident Example

13 fields

EXAMPLE

Monitoring Synthetic Check Example

12 fields

EXAMPLE

Use Cases 8

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

External API Uptime Monitoring

Operate scheduled synthetic checks against public APIs from multiple regions to verify endpoint availability, TLS validity, and latency, and alert on regressions before customer...

Microservice Performance Troubleshooting

Use distributed tracing and APM to follow slow or failing requests across microservices, identify the responsible span, and correlate with logs and metrics from the same time wi...

SRE Service Level Objective Tracking

Define and track service level indicators and objectives using tools like Nobl9, Datadog, and Prometheus, computing error budgets and burn rates against availability and latency...

On-Call Paging and Escalation

Route alerts from monitoring systems to the right on-call engineer with PagerDuty, Opsgenie, or Squadcast, including escalation policies, schedule rotations, and acknowledgement...

Incident Response and Postmortems

Coordinate incident response with platforms like Incident.io, FireHydrant, and Rootly that open Slack channels, assign roles, track timelines, and generate postmortem documents.

Frontend Error and Session Monitoring

Capture frontend exceptions, console errors, network failures, and replayable user sessions with Sentry, LogRocket, OpenReplay, and Bugsnag to diagnose customer-facing bugs.

Status Page Communication

Publish real-time status of API components on Statuspage, Better Stack, or OneUptime so customers and integrators know when degradations and outages affect them.

Cost-Optimized Log Pipelines

Use observability pipelines like Cribl, Vector, and Fluent Bit to route, transform, and tier log data before it lands in expensive indexing backends, reducing observability spend.

Scroll within the panel for all 8 ·

Integrations 8

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Datadog

SaaS observability platform combining metrics, traces, logs, RUM, synthetic monitoring, and security signals in a single backend.

New Relic

Full-stack observability platform offering APM, infrastructure monitoring, logs, browser, mobile, and synthetic monitoring under a unified pricing model.

PagerDuty

Incident response platform that ingests alerts from monitoring tools and routes them through on-call schedules, escalation policies, and incident workflows.

Sentry

Open-source error tracking and performance monitoring for frontends and backends with release tracking, source maps, and issue triage.

Prometheus

Open-source dimensional metrics database with a pull-based scraper, PromQL query language, and a foundational role in Kubernetes observability stacks.

Grafana

Open-source dashboarding and alerting frontend that visualizes data from Prometheus, Loki, Tempo, and dozens of other data sources.

OpenTelemetry

CNCF specification, SDKs, and collector for emitting traces, metrics, and logs in a vendor-neutral format to any compatible backend.

Statuspage

Atlassian-hosted status page service used by API providers to communicate component status, incidents, and scheduled maintenance to customers.

Scroll within the panel for all 8 ·

Resources

Every other property we hold for Monitoring — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

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