Reliability
An index and topic collection covering site reliability engineering (SRE), reliability platforms, service level objectives (SLOs), error budgets, chaos engineering, resilience testing, and incident response. Reliability platforms help teams define and measure reliability targets, intentionally inject failure to validate resilience, manage on-call rotations and alerting, coordinate incident response, and run blameless post-incident reviews. This collection includes SLO management platforms like Nobl9 and Chronosphere, chaos engineering tools like Gremlin, Chaos Mesh, Litmus, and AWS Fault Injection Simulator, internal developer platforms with reliability scoring like OpsLevel and Cortex, and incident response platforms like PagerDuty, OpsGenie, Incident.io, FireHydrant, Rootly, Blameless, Squadcast, and Zenduty.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Reliability the way a machine reads it — 31 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Reliability scores 9.5/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
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.
Kin Score
How this is scored →scored 2026-10-03 · rubric v0.23.0
Put this on your own site. The badge is drawn live from Reliability's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/reliability/"
title="Reliability on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/reliability.svg"
alt="Reliability Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/reliability/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/reliability/"
title="Reliability on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/reliability/card.svg"
alt="Reliability Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Reliability
Each block below is one kind of artifact we hold for Reliability. 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.
Service Level Objectives and Error Budgets
Reliability platforms like Nobl9, Chronosphere, and OpenSLO let teams define service level indicators (SLIs), set service level objectives (SLOs), and track error budgets to bal...
Chaos Engineering and Fault Injection
Chaos engineering tools like Gremlin, Chaos Mesh, Litmus, and AWS Fault Injection Simulator deliberately inject failures into systems to validate resilience and uncover hidden w...
Incident Response and On-Call Orchestration
Incident response platforms like PagerDuty, OpsGenie, Incident.io, FireHydrant, and Rootly orchestrate on-call rotations, alert routing, escalation policies, and incident war ro...
Runbook Automation and Response Workflows
Reliability platforms automate runbooks and response workflows that trigger on incidents, capture context from connected systems, and guide responders through remediation steps.
Blast Radius Reduction and Safety Controls
Chaos and incident tools include safeguards such as halt conditions, scope limits, and automated rollback to contain the blast radius of experiments and incidents.
Blameless Post-Incident Reviews
Platforms like Blameless, Jeli, and FireHydrant structure post-incident analysis to extract learning without assigning blame, capturing timelines, contributing factors, and foll...
Service Standards and Reliability Scoring
Internal developer platforms like OpsLevel and Cortex score services against reliability standards such as ownership, on-call coverage, SLO adoption, and runbook completeness.
Status Pages and Customer Communication
Status page platforms like Statuspage, Better Stack, and OneUptime communicate incident state and maintenance windows to customers and stakeholders in real time.
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.
Reliability Context
JSON-LDJSON 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.
ChaosExperiment
JSON SCHEMAServiceLevelObjective
JSON SCHEMAJSON 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.
Reliability Chaos Experiment Structure
JSON STRUCTUREReliability Slo Structure
JSON STRUCTUREExamples 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.
Reliability Slo Example
EXAMPLEUse 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.
SLO-Based Alerting
Replace threshold alerts with SLO burn-rate alerts that fire only when error budget is being consumed faster than sustainable, reducing alert fatigue while preserving signal.
Pre-Production Resilience Testing
Teams use Gremlin, Chaos Mesh, or AWS Fault Injection Simulator in staging environments to validate retries, timeouts, circuit breakers, and failover before production deploys.
Game Days and Continuous Verification
SRE teams run scheduled game days and continuous chaos experiments to verify that documented runbooks, alerting, and failover behavior still work as systems evolve.
Incident Coordination at Scale
PagerDuty, Incident.io, and FireHydrant coordinate large incidents across multiple teams with auto-created Slack channels, scribes, roles, and timeline capture.
Error Budget Policy Enforcement
When a service exhausts its error budget, automated policies in Nobl9 or Chronosphere can freeze deploys, page leadership, or trigger reliability investment until the budget rec...
On-Call Schedule Management
Platforms like PagerDuty, OpsGenie, and Squadcast manage rotation schedules, overrides, and escalation policies across global teams, with integrations into chat and ticketing to...
Service Catalog and Reliability Standards
OpsLevel, Cortex, and Backstage track service ownership, tier, and adherence to reliability standards like SLO coverage, on-call defined, and runbooks linked.
Customer-Facing Status Communication
Statuspage, Better Stack, and OneUptime provide hosted status pages that publish incident updates, scheduled maintenance, and component health to customers and subscribers.
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.
Nobl9
SLO platform that consolidates SLIs from Prometheus, Datadog, New Relic, and other observability sources into managed service level objectives with error budget tracking.
Gremlin
Chaos engineering platform for safely injecting CPU, memory, network, and dependency failures into production and staging systems with built-in halt conditions.
PagerDuty
Incident response and on-call platform with rotation scheduling, escalation policies, event intelligence, and a broad integration ecosystem.
Incident.io
Slack-native incident response platform that automates channel creation, roles, comms, and post-mortems for engineering teams.
FireHydrant
Incident management platform combining runbooks, retrospectives, status pages, and service catalog for reliability programs.
Chaos Mesh
Open-source CNCF chaos engineering platform for Kubernetes that injects pod, network, IO, and time faults via custom resources.
OpsLevel
Internal developer portal that tracks service ownership and scores services against reliability standards such as SLOs defined, on-call set, and runbooks linked.
Statuspage
Hosted status page platform from Atlassian for communicating incidents, maintenance, and component health to customers.
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Reliability — 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.
Get Started 1
Portal, sign-up, and the first successful call
Build 1
SDKs, sample code, and the tooling you integrate with
← All providers · Data indexed from github.com/api-evangelist/reliability · machine-readable index on apis.io
This is an independent, third-party profile of Reliability, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
info@apievangelist.com
·
Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and
you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.