AWS Compute Optimizer
Read describe recommendation export jobs, get lambda function recommendations, get recommendation preferences from Compute Optimizer (SigV4).
OCNORA ships 4 typed AWS Compute Optimizer 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 AWS Compute Optimizer
- 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 AWS Compute Optimizer
Operations, grouped by what they do to your data.
Read and search 3
Other operations 1
A sample AWS Compute Optimizer workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no AWS Compute Optimizer trigger is needed.
- 2Describe Recommendation Export Jobscompute_optimizer.describe_recommendation_export_jobsDescribes recommendation export jobs created in the last seven days.
- 3Write Actioncompute_optimizer.callRun one of 11 write actions on Compute Optimizer.
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.
Operations 4
- Write ActionRun one of 11 write actions on Compute Optimizer.compute_optimizer.call
- Describe Recommendation Export JobsDescribes recommendation export jobs created in the last seven days.compute_optimizer.describe_recommendation_export_jobs
- Get Lambda Function RecommendationsReturns Lambda function recommendations. Compute Optimizer generates recommendations for functions that meet a specific set of requirements.compute_optimizer.get_lambda_function_recommendations
- Get Recommendation PreferencesReturns existing recommendation preferences, such as enhanced infrastructure metrics.compute_optimizer.get_recommendation_preferences
AWS Compute Optimizer questions
- How does OCNORA authenticate with AWS Compute Optimizer?
- 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 AWS Compute Optimizer?
- 4 typed operations, each with a reference page listing its config fields and the shapes it emits.
- What if the AWS Compute Optimizer operation I need is not listed?
- Where AWS Compute Optimizer 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 AWS Compute Optimizer?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are AWS Compute Optimizer 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 AWS Compute Optimizer 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.