Amazon Data Lifecycle Manager
Amazon Data Lifecycle Manager provides an automated way to manage the lifecycle of your AWS resources. Using lifecycle policies, you can automate the creation, retention, and deletion of Amazon EBS snapshots and EBS-backed AMIs, reducing storage costs and simplifying backup management. Policies target EBS volumes and EC2 instances using tags, execute on configurable schedules, and apply flexible retention rules based on count or age.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Amazon Data Lifecycle Manager the way a machine reads it — 78 machine-readable artifacts across 2 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 Data Lifecycle Manager scores 71.0/100 (exemplar), 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 Data Lifecycle Manager
Each block below is one kind of artifact we hold for Amazon Data Lifecycle Manager. 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 2
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 Data Lifecycle Manager Lifecycle Policies API
Operations for managing EBS snapshot and AMI lifecycle policies
Amazon Data Lifecycle Manager Tags API
Operations for managing resource tags
Postman Collections 1
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon Data Lifecycle Manager API
OPEN COLLECTIONArazzo Workflows 6
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Amazon Data Lifecycle Manager Decommission Policy
Retrieve a lifecycle policy, delete it, and confirm it no longer appears in the list.
ARAZZOAmazon Data Lifecycle Manager Disable Policy
Disable a lifecycle policy and confirm the state change by reading it back.
ARAZZOAmazon Data Lifecycle Manager Provision Policy
Create an EBS snapshot lifecycle policy, read it back, and confirm it in the policy list.
ARAZZOAmazon Data Lifecycle Manager Reconfigure Schedule
Read a policy, re-enable and rewrite its snapshot schedule, then confirm the change.
ARAZZOAmazon Data Lifecycle Manager Tag Policy Resource
Add tags to a DLM resource and confirm them by listing the resource's tags.
ARAZZOAmazon Data Lifecycle Manager Untag Policy Resource
Remove tags from a DLM resource and confirm removal by listing the resource's tags.
ARAZZOPricing 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 Data Lifecycle Manager 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 7
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.
EBS Snapshot Automation
Automatically create, copy, and delete EBS snapshots on configurable schedules using tag-based targeting of volumes across AWS accounts.
AMI Lifecycle Management
Automate the creation and deregistration of Amazon Machine Images from EC2 instances on schedules to maintain a library of AMIs.
Flexible Retention Rules
Retain snapshots by count (keep the last N) or by age (keep for N days/weeks/months/years), automatically deleting older snapshots.
Tag-Based Targeting
Target EBS volumes or EC2 instances using resource tags for policy scope, enabling granular backup control without managing resource lists.
Cross-Region Copy
Configure schedules to copy snapshots to other AWS regions for disaster recovery and geographic redundancy automatically.
Fast Snapshot Restore
Enable fast snapshot restore on snapshots created by DLM policies to dramatically reduce EBS volume initialization time.
Event-Based Policies
Trigger snapshot sharing and copying workflows in response to CloudWatch Events for cross-account snapshot automation.
Scroll within the panel for all 7 ·
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.
Spectral 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.
JSON Schema 15
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.
Create Lifecycle Policy Request
JSON SCHEMACreate Lifecycle Policy Response
JSON SCHEMACreate Rule
JSON SCHEMAError
JSON SCHEMAGet Lifecycle Policies Response
JSON SCHEMAGet Lifecycle Policy Response
JSON SCHEMALifecycle Policy
JSON SCHEMALifecycle Policy Summary
JSON SCHEMAList Tags for Resource Response
JSON SCHEMAPolicy Details
JSON SCHEMARetain Rule
JSON SCHEMASchedule
JSON SCHEMATag Resource Request
JSON SCHEMATag
JSON SCHEMAUpdate Lifecycle Policy Request
JSON SCHEMAScroll within the panel for all 15 ·
JSON Structure 15
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.
Create Lifecycle Policy Request Structure
JSON STRUCTURECreate Lifecycle Policy Response Structure
JSON STRUCTURECreate Rule Structure
JSON STRUCTUREError Structure
JSON STRUCTUREGet Lifecycle Policies Response Structure
JSON STRUCTUREGet Lifecycle Policy Response Structure
JSON STRUCTURELifecycle Policy Structure
JSON STRUCTURELifecycle Policy Summary Structure
JSON STRUCTUREList Tags For Resource Response Structure
JSON STRUCTUREPolicy Details Structure
JSON STRUCTURERetain Rule Structure
JSON STRUCTURESchedule Structure
JSON STRUCTURETag Resource Request Structure
JSON STRUCTURETag Structure
JSON STRUCTUREUpdate Lifecycle Policy Request Structure
JSON STRUCTUREScroll within the panel for all 15 ·
Examples 15
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.
Create Rule Example
EXAMPLEError Example
EXAMPLELifecycle Policy Example
EXAMPLEPolicy Details Example
EXAMPLERetain Rule Example
EXAMPLESchedule Example
EXAMPLETag Example
EXAMPLETag Resource Request Example
EXAMPLEScroll within the panel for all 15 ·
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.
Automated Daily Backups
Schedule daily EBS volume snapshots with automated retention of the last 7 or 30 days of backups without manual intervention.
Compliance and Audit Retention
Meet regulatory backup retention requirements by defining long-term retention policies (monthly/yearly) for compliance snapshots.
Disaster Recovery
Automatically copy EBS snapshots to secondary AWS regions to enable cross-region disaster recovery with minimal RTO and RPO.
Golden AMI Pipeline
Automate the creation of hardened EC2 AMI images from approved instances and manage their lifecycle for deployment fleets.
Storage Cost Optimization
Reduce EBS snapshot storage costs by automatically deleting outdated snapshots based on configurable age or count retention rules.
Resources
Every other property we hold for Amazon Data Lifecycle Manager — 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 5
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 8
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 8 ·
Build 2
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
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