Amazon Data Lifecycle Manager
Read get lifecycle policies from DLM (SigV4).
OCNORA ships 2 typed Amazon Data Lifecycle Manager operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run.
Before you connect Amazon Data Lifecycle Manager
- Authentication
- API key
- Credential
- {"access_key_id", "secret_access_key"}
- Connection test
- Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.
What you can do with Amazon Data Lifecycle Manager
Operations, grouped by what they do to your data.
Read and search 1
Other operations 1
A sample Amazon Data Lifecycle Manager workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no Amazon Data Lifecycle Manager trigger is needed.
- 2Get Lifecycle Policiesdlm.get_lifecycle_policiesGets summary information about all or the specified data lifecycle policies. To get complete information about a policy, use GetLifecyclePolicy.
- 3Write Actiondlm.callRun one of 5 write actions on DLM.
An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.
Every node below has a reference page: what it does, the connection it needs, its config fields with types, constraints and examples, and the shapes it emits.
Amazon Data Lifecycle Manager questions
- How does OCNORA authenticate with Amazon Data Lifecycle Manager?
- With a stored API key credential, shaped {"access_key_id", "secret_access_key"}. A connection test can check it when you add it.
- What can I automate with Amazon Data Lifecycle Manager?
- 2 typed operations, each with a reference page listing its config fields and the shapes it emits.
- What if the Amazon Data Lifecycle Manager operation I need is not listed?
- Where Amazon Data Lifecycle Manager has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.
- Are there templates that use Amazon Data Lifecycle Manager?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are Amazon Data Lifecycle Manager calls controlled?
- Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.
See your first Amazon Data Lifecycle Manager workflow run.
Book a technical demo. We add the connection, pick a template or describe the workflow to Build with AI, and Workflow Health checks it before it runs.