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Additional Compute - Batch and Outposts

Recognize AWS Batch for large-scale batch processing and Outposts for on-premises AWS.

10 min
Intermediate

Learning outcomes

By the end of this lesson, the learner can:

  1. Identify AWS Batch for large-scale batch job scheduling.
  2. Identify Outposts for running AWS services on-premises.

AWS Batch and Outposts

Definition Guide

AWS Batch and Outposts

01

AWS Batch

Meaning

Managed batch computing scheduler for containerized workloads

Examples

Process 10,000 video encoding jobs using Spot Instances

When it's ideal: Integrates with Fargate, ECS, EKS, and EC2 Spot

02

AWS Outposts

Meaning

AWS infrastructure and services on-premises

Examples

Run EC2 and RDS in your datacenter for data residency

When it's ideal: Same AWS APIs, management, and tools—extends region to your site


When to use Batch and Outposts

When to use Batch and Outposts

Use Batch when...

  • Large-scale batch job scheduling
  • Jobs exceed Lambda's 15-min limit
  • Spot Instance optimization desired

Use Outposts when...

  • Data must stay on-premises
  • Ultra-low latency to local systems
  • Same AWS APIs required locally

Knowledge Check

Knowledge Check
1 / 2

Your data residency requirements mandate that processing stays in your datacenter. Which AWS service enables this?


Summary

  • AWS Batch — Managed batch job scheduling at scale
  • AWS Outposts — Run AWS services on-premises

Both extend AWS compute capabilities to specialized use cases.