Amazon Batch

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (EC2 On-Demand, EC2 Spot, Fargate, EKS) based on the volume and specific resource requirements of the batch jobs submitted, with no need to install or manage batch computing software or server clusters.

1 APIs 0 Features
Batch ComputingComputeContainersHPCJob SchedulingServerlessFargateEKSSpot Instances

APIs

Amazon Batch API

The AWS Batch API enables programmatic management of batch computing workloads, including creating and managing compute environments, job queues, job definitions, scheduling pol...

MCP Servers

Semantic Vocabularies

Amazon Batch Context

0 classes · 5 properties

JSON-LD

JSON Structure

Batch Resource Structure

0 properties

JSON STRUCTURE

Example Payloads

Submit Job Example

2 fields

EXAMPLE

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Sources

Raw ↑
aid: amazon-batch
url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/apis.yml
name: Amazon Batch
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
specificationVersion: '0.19'
description: AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of
  batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (EC2 On-Demand,
  EC2 Spot, Fargate, EKS) based on the volume and specific resource requirements of the batch jobs submitted, with no need
  to install or manage batch computing software or server clusters.
created: '2024-01-15'
modified: '2026-06-20'
tags:
- AWS
- Batch Computing
- Compute
- Containers
- HPC
- Job Scheduling
- Serverless
- Fargate
- EKS
- Spot Instances
apis:
- aid: amazon-batch:amazon-batch-api
  name: Amazon Batch API
  description: The AWS Batch API enables programmatic management of batch computing workloads, including creating and managing
    compute environments, job queues, job definitions, scheduling policies, and submitting and monitoring batch jobs at any
    scale. Supports single-node jobs, array jobs for parameter sweeps, and multi-node parallel jobs for HPC.
  humanURL: https://aws.amazon.com/batch/
  baseURL: https://batch.amazonaws.com
  tags:
  - Batch Computing
  - Compute
  - HPC
  - Job Scheduling
  - Containers
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html
  - type: OpenAPI
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/openapi/amazon-batch-openapi.yml
  - type: OpenAPI
    url: https://api.apis.guru/v2/specs/amazonaws.com/batch/2016-08-10/openapi.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/json-schema/amazon-batch-schema.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/json-structure/batch-resource-structure.json
  - type: JSONLD
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/json-ld/amazon-batch-context.jsonld
  - type: SpectralRuleset
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/spectral/ruleset.yml
  - type: Capabilities
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/capabilities/capabilities.yml
  - type: Vocabulary
    url: https://raw.githubusercontent.com/api-evangelist/amazon-batch/refs/heads/main/vocabulary/vocabulary.yml
  - type: Pricing
    url: https://aws.amazon.com/batch/pricing/
  - type: GettingStarted
    url: https://aws.amazon.com/batch/getting-started/
  - type: FAQ
    url: https://aws.amazon.com/batch/faqs/
  - type: UserGuide
    url: https://docs.aws.amazon.com/batch/latest/userguide/what-is-batch.html
  - type: APIReference
    url: https://docs.aws.amazon.com/batch/latest/APIReference/Welcome.html
  - type: CLIReference
    url: https://docs.aws.amazon.com/cli/latest/reference/batch/
  - type: Security
    url: https://docs.aws.amazon.com/batch/latest/userguide/security.html
  - type: Packages
    url: packages/amazon-batch-packages.yml
  - type: MCPServer
    url: mcp/amazon-batch-mcp.yml
  - type: LLMsTxt
    url: llms/amazon-batch-llms.txt
  - type: Overlay
    url: overlays/amazon-batch-openapi-overlay.yaml
  - type: Conformance
    url: conformance/amazon-batch-conformance.yml
  - type: ErrorCatalog
    url: errors/amazon-batch-problem-types.yml
  - type: Lifecycle
    url: lifecycle/amazon-batch-lifecycle.yml
  contact:
  - FN: Amazon Web Services
    url: https://aws.amazon.com/contact-us/
  features:
  - name: Managed Compute Environments
    description: Automatically provision, scale, and terminate EC2 On-Demand, Spot, Fargate, or EKS compute resources based
      on job demand.
  - name: Array Jobs
    description: Run N identical parallel job instances with unique array indices for parameter sweeps, data parallelism,
      and large-scale simulations.
  - name: Multi-Node Parallel Jobs
    description: Execute tightly-coupled HPC workloads (MPI) across multiple EC2 instances in a single coordinated job.
  - name: Spot Instance Integration
    description: Run batch jobs on EC2 Spot Instances with automatic retry on interruption, reducing compute costs by up to
      90%.
  - name: Fair-Share Scheduling
    description: Distribute compute resources equitably across users and teams using configurable share weights and usage
      tracking.
  - name: GPU Support
    description: Run GPU-accelerated workloads including machine learning training and scientific simulations on GPU instance
      types.
  - name: EKS Integration
    description: Run batch jobs on Amazon EKS clusters with Kubernetes-native pod specifications and resource management.
  useCases:
  - name: Scientific Computing
    description: Run genomics, climate modeling, and other large-scale simulations with HPC array jobs on managed compute
      environments.
  - name: Data Processing Pipelines
    description: Process large datasets in parallel with array jobs and Spot Instances for cost-efficient ETL and analytics
      workloads.
  - name: Machine Learning Training
    description: Run distributed ML training jobs across GPU instances with multi-node parallel job support.
  - name: Media Transcoding
    description: Process large volumes of media files in parallel using containerized transcoding jobs on managed compute
      environments.
  integrations:
  - name: Amazon ECR
    description: Store and pull container images for batch job definitions from Amazon Elastic Container Registry
  - name: Amazon S3
    description: Read input data and write job output to Amazon S3 storage
  - name: Amazon ECS
    description: AWS Batch uses ECS under the hood for container orchestration on EC2 and Fargate
  - name: Amazon EKS
    description: Run batch jobs on Kubernetes clusters via Amazon Elastic Kubernetes Service
  - name: AWS CloudWatch Logs
    description: Stream job container logs to CloudWatch Logs for monitoring and debugging
  - name: AWS Step Functions
    description: Orchestrate multi-step workflows with AWS Batch jobs as workflow tasks
  - name: Amazon EventBridge
    description: Trigger batch jobs on schedule or in response to events
  solutions:
  - name: Cost-Optimized HPC
    description: Use Spot Instances with SPOT_CAPACITY_OPTIMIZED allocation strategy to run HPC workloads at a fraction of
      On-Demand pricing.
  - name: Serverless Batch
    description: Use Fargate compute environments to run batch jobs with no EC2 instance management and per-second billing.
common:
- type: VulnerabilityDisclosure
  url: security/amazon-batch-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-batch-domain-security.yml
- type: Authentication
  url: authentication/amazon-batch-authentication.yml
- type: Portal
  url: https://console.aws.amazon.com/
- type: Website
  url: https://aws.amazon.com/batch/
- type: Documentation
  url: https://docs.aws.amazon.com/batch/
- 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/hpc/category/compute/aws-batch/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/batch
- type: SignUp
  url: https://portal.aws.amazon.com/billing/signup
- type: Login
  url: https://signin.aws.amazon.com/
- type: ServiceStatus
  url: https://status.aws.amazon.com/
- type: KnowledgeCenter
  url: https://repost.aws/knowledge-center
- type: YouTube
  url: https://www.youtube.com/user/AmazonWebServices
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/aws-batch
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: Security
  url: https://aws.amazon.com/security/
- type: Compliance
  url: https://aws.amazon.com/compliance/
- type: WellKnown
  url: well-known/amazon-batch-well-known.yml
- type: SecurityTxt
  url: well-known/amazon-batch-security.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
  url: https://apievangelist.com