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.

Monitoring is profiled on the APIs.io network. Tagged areas include API Monitoring, Observability, Uptime, Synthetic Monitoring, and Incident Response.

The Monitoring catalog on APIs.io includes 1 JSON-LD context.

Monitoring’s developer surface includes developer portal and 1 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

9.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

0 APIs 8 Features 8 Use Cases

API Monitoring Observability Uptime Synthetic Monitoring Incident Response

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 9.6/100 · minimal

Contract Quality 3.1 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.7 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/monitoring/"><img src="https://apis.io/badge/monitoring/card.svg" alt="Monitoring on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/monitoring: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Features 8

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 for all 8

Semantic Vocabularies 1

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 for this provider's data models.

Incident

15 properties

JSON SCHEMA

SyntheticCheck

12 properties

JSON SCHEMA

JSON Structure 2

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

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 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 for all 8

Integrations 8

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 for all 8

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Source (apis.yml)

aid: monitoring
name: Monitoring
description: 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.
type: Index
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- API Monitoring
- Observability
- Uptime
- Synthetic Monitoring
- Incident Response
url: https://raw.githubusercontent.com/api-evangelist/monitoring/refs/heads/main/apis.yml
created: '2026-05-19'
modified: '2026-05-19'
specificationVersion: '0.19'
apis: []
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- name: Google Cloud Monitoring
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- name: LogicMonitor
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- name: OpenObserve
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- name: OpenReplay
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- name: OpenTelemetry
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- name: Statuspage
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- name: Uptrace
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- name: VictoriaMetrics
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- name: Zipkin
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common:
- type: Portal
  url: https://apievangelist.com
- type: GitHubOrganization
  url: https://github.com/api-evangelist
- type: Features
  data:
  - name: Synthetic and Uptime Monitoring
    description: Scheduled checks executed from globally distributed probes that hit HTTP, GraphQL, and gRPC endpoints to
      verify availability, response codes, latency, and content assertions before real users are affected.
  - name: Application Performance Monitoring (APM)
    description: Instrumentation of application code to capture request rates, latency percentiles, error rates, throughput,
      and slow endpoints across services, with code-level visibility into bottlenecks.
  - name: Distributed Tracing
    description: 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 accumulate in distributed systems.
  - name: Log Aggregation and Search
    description: Centralized collection, indexing, and search of structured and unstructured logs from applications, infrastructure,
      and edge components, with retention tiers and query languages for incident investigation.
  - name: Metrics and Time-Series
    description: Collection of dimensional metrics from infrastructure, runtimes, and custom application counters into time-series
      databases like Prometheus, VictoriaMetrics, or vendor backends for dashboards and alerting.
  - name: Error and Crash Tracking
    description: Capture of exceptions, stack traces, and user context from frontends and backends, with deduplication, regression
      detection, and release tracking provided by tools like Sentry, Rollbar, Bugsnag, and Honeybadger.
  - name: Alerting and Incident Response
    description: Threshold and anomaly-based alerts that flow into on-call rotations, escalation policies, and incident workflows
      handled by PagerDuty, Opsgenie, Incident.io, FireHydrant, and similar platforms.
  - name: Status Pages and Communication
    description: Public and private status pages that communicate incident status, scheduled maintenance, and component health
      to customers and stakeholders during and after incidents.
- type: UseCases
  data:
  - name: External API Uptime Monitoring
    description: Operate scheduled synthetic checks against public APIs from multiple regions to verify endpoint availability,
      TLS validity, and latency, and alert on regressions before customers report them.
  - name: Microservice Performance Troubleshooting
    description: 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 window.
  - name: SRE Service Level Objective Tracking
    description: 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 targets.
  - name: On-Call Paging and Escalation
    description: Route alerts from monitoring systems to the right on-call engineer with PagerDuty, Opsgenie, or Squadcast,
      including escalation policies, schedule rotations, and acknowledgement tracking.
  - name: Incident Response and Postmortems
    description: Coordinate incident response with platforms like Incident.io, FireHydrant, and Rootly that open Slack channels,
      assign roles, track timelines, and generate postmortem documents.
  - name: Frontend Error and Session Monitoring
    description: Capture frontend exceptions, console errors, network failures, and replayable user sessions with Sentry,
      LogRocket, OpenReplay, and Bugsnag to diagnose customer-facing bugs.
  - name: Status Page Communication
    description: Publish real-time status of API components on Statuspage, Better Stack, or OneUptime so customers and integrators
      know when degradations and outages affect them.
  - name: Cost-Optimized Log Pipelines
    description: 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.
- type: Integrations
  data:
  - name: Datadog
    description: SaaS observability platform combining metrics, traces, logs, RUM, synthetic monitoring, and security signals
      in a single backend.
  - name: New Relic
    description: Full-stack observability platform offering APM, infrastructure monitoring, logs, browser, mobile, and synthetic
      monitoring under a unified pricing model.
  - name: PagerDuty
    description: Incident response platform that ingests alerts from monitoring tools and routes them through on-call schedules,
      escalation policies, and incident workflows.
  - name: Sentry
    description: Open-source error tracking and performance monitoring for frontends and backends with release tracking, source
      maps, and issue triage.
  - name: Prometheus
    description: Open-source dimensional metrics database with a pull-based scraper, PromQL query language, and a foundational
      role in Kubernetes observability stacks.
  - name: Grafana
    description: Open-source dashboarding and alerting frontend that visualizes data from Prometheus, Loki, Tempo, and dozens
      of other data sources.
  - name: OpenTelemetry
    description: CNCF specification, SDKs, and collector for emitting traces, metrics, and logs in a vendor-neutral format
      to any compatible backend.
  - name: Statuspage
    description: Atlassian-hosted status page service used by API providers to communicate component status, incidents, and
      scheduled maintenance to customers.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
humanURL: https://apievangelist.com

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