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API StatusChangelog
AWS Batch
ByAWS BatchAWS Batch

AWS Batch

#10in Serverless
Stacks90Discussions1
Followers251
OverviewDiscussions1

What is AWS Batch?

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

AWS Batch is a tool in the Serverless category of a tech stack.

AWS Batch Pros & Cons

Pros of AWS Batch

  • ✓Containerized
  • ✓Scalable

Cons of AWS Batch

  • ✗More overhead than lambda
  • ✗Image management

AWS Batch Alternatives & Comparisons

What are some alternatives to AWS Batch?

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Serverless

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Cloud Functions for Firebase

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

Apex

Apex

Apex is a small tool for deploying and managing AWS Lambda functions. With shims for languages not yet supported by Lambda, you can use Golang out of the box.

AWS Batch Integrations

Amazon Managed Workflows for Apache Airflow, Kedro, Flyte are some of the popular tools that integrate with AWS Batch. Here's a list of all 3 tools that integrate with AWS Batch.

Amazon Managed Workflows for Apache Airflow
Amazon Managed Workflows for Apache Airflow
Kedro
Kedro
Flyte
Flyte

AWS Batch Discussions

Discover why developers choose AWS Batch. Read real-world technical decisions and stack choices from the StackShare community.

Vinit Jain
Vinit Jain

Nov 22, 2021

Needs adviceonAWS BatchAWS Batch

We have some use cases for which we do bulk activities on a selected customer base. We query customer base from RDS instance based on specific criteria and need to trigger a particular operation for each customer (e.g. send an email, execute a web function). All bulk activities need to be scheduled at a particular frequency. We are exploring the right stack for the same. Is AWS Batch fit for such a scenario? Where should the customer base be stored? What all applications can be useful? Please suggest.

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