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 / Task Processing category of a tech stack.
Who uses AWS Batch?
Companies
38 companies reportedly use AWS Batch in their tech stacks, including FindHotel, fcstack, and Boligmappa.
Developers
47 developers on StackShare have stated that they use AWS Batch.
AWS Batch Integrations
Pros of AWS Batch
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Decisions about AWS Batch
Here are some stack decisions, common use cases and reviews by companies and developers who chose AWS Batch in their tech stack.
Vinit Jain
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.
AWS Batch Alternatives & Comparisons
What are some alternatives to AWS Batch?
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.
Beanstalk
A single process to commit code, review with the team, and deploy the final result to your customers.
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
NGINX
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
