AWSMainframeModernization

Amazon Web ServicesAPI keyConnection test available

Read list applications, list environments, list deployments from m2 (SigV4).

OCNORA ships 4 typed AWSMainframeModernization 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 AWSMainframeModernization

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 AWSMainframeModernization

Operations, grouped by what they do to your data.

A sample AWSMainframeModernization workflow

  1. 1
    A core trigger
    Start the run from a chat, form, manual, schedule, webhook, workflow trigger — no AWSMainframeModernization trigger is needed.
  2. 2
    List Applicationsm2.list_applications
    Lists the applications associated with a specific Amazon Web Services account.
  3. 3
    Run one of 16 write actions on m2.

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.

AWSMainframeModernization questions

How does OCNORA authenticate with AWSMainframeModernization?
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 AWSMainframeModernization?
4 typed operations, each with a reference page listing its config fields and the shapes it emits.
What if the AWSMainframeModernization operation I need is not listed?
Where AWSMainframeModernization 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 AWSMainframeModernization?
Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
How are AWSMainframeModernization 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 AWSMainframeModernization 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.