Amazon Managed Service for Apache Flink

aid: amazon-managed-apache-flink
name: Amazon Managed Service for Apache Flink
description: Amazon Managed Service for Apache Flink is the easiest way to transform and analyze streaming data in real time
  with Apache Flink. It enables you to build sophisticated streaming analytics applications using Apache Flink with fully
  managed infrastructure and pay-as-you-go pricing.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- Apache Flink
- AWS
- Big Data
- Real-Time Processing
- Streaming Analytics
url: https://raw.githubusercontent.com/api-evangelist/amazon-managed-apache-flink/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: amazon-managed-apache-flink:aws-managed-flink-api
  name: Amazon Managed Service for Apache Flink API
  description: The Amazon Managed Service for Apache Flink API provides programmatic access to create and manage streaming
    applications, application versions, snapshots, and VPC configurations for Apache Flink workloads. Covers 31 paths and
    31 operations.
  humanURL: https://aws.amazon.com/managed-service-apache-flink/
  baseURL: https://kinesisanalytics.amazonaws.com
  tags:
  - Apache Flink
  - Real-Time Processing
  - Streaming Analytics
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/managed-flink/latest/apiv2/Welcome.html
  - type: OpenAPI
    url: openapi/amazon-managed-apache-flink-openapi-original.yaml
  - type: GettingStarted
    url: https://aws.amazon.com/managed-service-apache-flink/getting-started/
  - type: Pricing
    url: https://aws.amazon.com/managed-service-apache-flink/pricing/
  - type: FAQ
    url: https://aws.amazon.com/managed-service-apache-flink/faqs/
  - type: JSONSchema
    url: json-schema/amazon-managed-apache-flink-application-detail-schema.json
  - type: JSONLD
    url: json-ld/amazon-managed-apache-flink-context.jsonld
  - type: NaftikoCapability
    url: capabilities/amazon-managed-apache-flink.yaml
common:
- type: Portal
  url: https://aws.amazon.com/managed-service-apache-flink/
- type: Documentation
  url: https://docs.aws.amazon.com/managed-flink/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Blog
  url: https://aws.amazon.com/blogs/big-data/tag/amazon-managed-service-for-apache-flink/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/flink/
- type: SignUp
  url: https://portal.aws.amazon.com/billing/signup
- type: Login
  url: https://signin.aws.amazon.com/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: SpectralRules
  url: rules/amazon-managed-apache-flink-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-managed-apache-flink-vocabulary.yaml
- type: Features
  data:
  - name: Fully Managed Apache Flink
    description: Run Apache Flink applications without managing infrastructure, patching, or capacity planning.
  - name: Auto Scaling
    description: Automatically scales application parallelism based on streaming data volume.
  - name: Application Snapshots
    description: Create point-in-time snapshots of application state for fault tolerance and version management.
  - name: VPC Integration
    description: Deploy Flink applications within a VPC for secure access to private data sources.
  - name: Multiple Input Sources
    description: Connect to Kinesis Data Streams, Kinesis Data Firehose, MSK, and S3 as data sources.
- type: UseCases
  data:
  - name: Real-Time Analytics
    description: Build streaming analytics pipelines to analyze data as it arrives from IoT devices, logs, or transactions.
  - name: Event-Driven Processing
    description: Process and transform event streams for real-time dashboards and operational monitoring.
  - name: Anomaly Detection
    description: Detect anomalies in streaming data for fraud detection and security monitoring.
  - name: ETL Pipelines
    description: Build real-time ETL pipelines to transform and enrich streaming data before loading to destinations.
- type: Integrations
  data:
  - name: Amazon Kinesis Data Streams
    description: Use Kinesis streams as input sources for Flink applications.
  - name: Amazon MSK
    description: Connect to managed Kafka clusters as input sources.
  - name: Amazon S3
    description: Read reference data from S3 and write output to S3 buckets.
  - name: Amazon CloudWatch
    description: Monitor application metrics and logs in CloudWatch.
maintainers:
- FN: Kin Lane
  email: [email protected]