Amazon DevOps Guru
Amazon DevOps Guru is a machine learning-powered service that makes it easy to improve an application's operational performance and availability. It detects behaviors that deviate from normal operating patterns so you can identify operational issues long before they impact your customers.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Amazon DevOps Guru the way a machine reads it — 104 machine-readable artifacts across 14 APIs, 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 — Amazon DevOps Guru scores 68.4/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Amazon DevOps Guru
Each block below is one kind of artifact we hold for Amazon DevOps Guru. 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.
APIs 14
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon DevOps Guru Accounts API
The Accounts API from Amazon DevOps Guru — 3 operation(s) for accounts.
Amazon DevOps Guru Anomalies API
The Anomalies API from Amazon DevOps Guru — 2 operation(s) for anomalies.
Amazon DevOps Guru Channels API
The Channels API from Amazon DevOps Guru — 2 operation(s) for channels.
Amazon DevOps Guru Cost Estimation API
The Cost Estimation API from Amazon DevOps Guru — 1 operation(s) for cost estimation.
Amazon DevOps Guru Event Sources API
The Event Sources API from Amazon DevOps Guru — 1 operation(s) for event sources.
Amazon DevOps Guru Events API
The Events API from Amazon DevOps Guru — 1 operation(s) for events.
Amazon DevOps Guru Feedback API
The Feedback API from Amazon DevOps Guru — 1 operation(s) for feedback.
Amazon DevOps Guru Insights API
The Insights API from Amazon DevOps Guru — 3 operation(s) for insights.
Amazon DevOps Guru List Log Anomalies API
The List Log Anomalies API from Amazon DevOps Guru — 1 operation(s) for list log anomalies.
Amazon DevOps Guru MonitoredResources API
The MonitoredResources API from Amazon DevOps Guru — 1 operation(s) for monitoredresources.
Amazon DevOps Guru Organization API
The Organization API from Amazon DevOps Guru — 5 operation(s) for organization.
Amazon DevOps Guru Recommendations API
The Recommendations API from Amazon DevOps Guru — 1 operation(s) for recommendations.
Amazon DevOps Guru Resource Collections API
The Resource Collections API from Amazon DevOps Guru — 2 operation(s) for resource collections.
Amazon DevOps Guru Service Integrations API
The Service Integrations API from Amazon DevOps Guru — 1 operation(s) for service integrations.
Scroll within the panel for all 14 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Amazon Devops Guru Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
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.
ML-Powered Anomaly Detection
Uses machine learning to detect behavioral deviations across hundreds of AWS metrics without manual threshold configuration.
Proactive Insights
Identifies anomalies before they become operational issues, allowing teams to remediate before customer impact.
Reactive Insights
Surfaces insights when active operational issues are detected to accelerate root cause analysis.
Actionable Recommendations
Provides specific remediation recommendations with links to relevant documentation and AWS console pages.
CloudWatch Logs Integration
Analyzes CloudWatch Logs for log-based anomalies to include log patterns in operational insights.
AWS OpsCenter Integration
Automatically creates OpsCenter OpsItems for detected insights to streamline incident management.
CloudFormation-Based Coverage
Define which applications to monitor by specifying CloudFormation stack names for precise application-scoped coverage.
Organizations Integration
Enable DevOps Guru across an entire AWS Organization to centrally monitor all accounts and regions.
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.
Amazon Devops Guru Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Amazon DevOps Guru API Rules
SPECTRALAmazon DevOps Guru API Rules
SPECTRALJSON Schema 22
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.
AnomalousLogGroup
JSON SCHEMACloudFormationCollection
JSON SCHEMACloudFormationHealth
JSON SCHEMAEvent
JSON SCHEMAEventSourcesConfig
JSON SCHEMAInsightHealth
JSON SCHEMALogAnomalyShowcase
JSON SCHEMANotificationChannel
JSON SCHEMAOpsCenterIntegration
JSON SCHEMAPerformanceInsightsMetricQuery
JSON SCHEMAProactiveAnomaly
JSON SCHEMAProactiveInsight
JSON SCHEMAReactiveAnomaly
JSON SCHEMAReactiveInsight
JSON SCHEMARecommendation
JSON SCHEMAResourceCollection
JSON SCHEMAServiceCollection
JSON SCHEMAServiceHealth
JSON SCHEMAServiceInsightHealth
JSON SCHEMASnsChannelConfig
JSON SCHEMATagCollection
JSON SCHEMATagHealth
JSON SCHEMAScroll within the panel for all 22 ·
JSON Structure 22
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.
Amazon Devops Guru Anomalous Log Group Structure
JSON STRUCTUREAmazon Devops Guru Cloud Formation Collection Structure
JSON STRUCTUREAmazon Devops Guru Cloud Formation Health Structure
JSON STRUCTUREAmazon Devops Guru Event Sources Config Structure
JSON STRUCTUREAmazon Devops Guru Event Structure
JSON STRUCTUREAmazon Devops Guru Insight Health Structure
JSON STRUCTUREAmazon Devops Guru Log Anomaly Showcase Structure
JSON STRUCTUREAmazon Devops Guru Notification Channel Structure
JSON STRUCTUREAmazon Devops Guru Ops Center Integration Structure
JSON STRUCTUREAmazon Devops Guru Proactive Anomaly Structure
JSON STRUCTUREAmazon Devops Guru Proactive Insight Structure
JSON STRUCTUREAmazon Devops Guru Reactive Anomaly Structure
JSON STRUCTUREAmazon Devops Guru Reactive Insight Structure
JSON STRUCTUREAmazon Devops Guru Recommendation Structure
JSON STRUCTUREAmazon Devops Guru Resource Collection Structure
JSON STRUCTUREAmazon Devops Guru Service Collection Structure
JSON STRUCTUREAmazon Devops Guru Service Health Structure
JSON STRUCTUREAmazon Devops Guru Service Insight Health Structure
JSON STRUCTUREAmazon Devops Guru Sns Channel Config Structure
JSON STRUCTUREAmazon Devops Guru Tag Collection Structure
JSON STRUCTUREAmazon Devops Guru Tag Health Structure
JSON STRUCTUREScroll within the panel for all 22 ·
Examples 22
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.
Scroll within the panel for all 22 ·
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
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.
Proactive Operational Monitoring
Detect potential issues in application behavior before they impact end users using ML-powered proactive insights.
Incident Root Cause Analysis
Rapidly identify the root cause of operational incidents by correlating anomalies, events, and recommendations.
Application Performance Optimization
Use continuous behavioral monitoring to identify performance bottlenecks and optimization opportunities.
Multi-Account Operations
Monitor operational health across all accounts in an AWS Organization from a single pane of glass.
DevOps Pipeline Integration
Integrate DevOps Guru insights into CI/CD pipelines to gate deployments on operational health status.
Resources
Every other property we hold for Amazon DevOps Guru — 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 4
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/amazon-devops-guru · machine-readable index on apis.io