API archive entry · source-reported
Application Auto Scaling
With Application Auto Scaling, you can configure automatic scaling for the following resources: Amazon AppStream 2.0 fleets Amazon Aurora Replicas Amazon Comprehend document classification and entity recognizer endpoints Amazon DynamoDB tables and global secondary indexes throughput capacity Amazon ECS services Amazon ElastiCache for Redis clusters (replication groups) Amazon EMR clusters Amazon Keyspaces (for Apache Cassandra) tables Lambda function provisioned concurrency Amazon Managed Streaming for Apache Kafka broker storage Amazon Neptune clusters Amazon SageMaker endpoint variants Spot Fleets (Amazon EC2) Custom resources provided by your own applications or services To learn more about Application Auto Scaling, see the Application Auto Scaling User Guide . API Summary The Application Auto Scaling service API includes three key sets of actions: Register and manage scalable targets - Register Amazon Web Services or custom resources as scalable targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and retrieve information on existing scalable targets. Configure and manage automatic scaling - Define scaling policies to dynamicall
Plan the first integration safely
The access fields below come from the connected directory. Their likely implementation impact is explained without assuming provider-specific behavior.
Authentication
OAuth is reported. Confirm flows, scopes, consent, token lifetime, and refresh rules.
Transport
HTTPS is not confirmed. Do not send credentials or production data until secure transport is verified.
Browser access
CORS is unknown. Treat direct browser access as unconfirmed and test before choosing a client-only architecture.
First-request sequence
- Identify the current base URL, version, and endpoint for the use case.
- Confirm how credentials are issued and where they may be stored.
- Test success, invalid input, throttling, unavailable data, and timeouts.
- Record response fields, pagination, caching, and error shapes.
- Add monitoring, retries with backoff, and an appropriate fallback.
Questions to resolve before production
Pricing and quotas
Confirm current plans, free-tier limits, overages, and request ceilings.
Endpoint coverage
Check that the operations and response fields match the intended workload.
Reliability
Look for uptime history, a status page, support routes, and service commitments.
Data and privacy
Review retention, licensing, regional processing, and compliance requirements.
Versioning
Confirm the active version, change policy, deprecation window, and migration guidance.
Developer experience
Validate SDKs, examples, error formats, pagination, and test environments.
Source reference
This page separates source-reported facts from questions that need live provider verification.