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Description
AWS Batch provides a streamlined platform for developers, scientists, and engineers to efficiently execute vast numbers of batch computing jobs on the AWS cloud infrastructure. It automatically allocates the ideal quantity and types of compute resources, such as CPU or memory-optimized instances, tailored to the demands and specifications of the submitted batch jobs. By utilizing AWS Batch, users are spared from the hassle of installing and managing batch computing software or server clusters, enabling them to concentrate on result analysis and problem-solving. The service organizes, schedules, and manages batch workloads across a comprehensive suite of AWS compute offerings, including AWS Fargate, Amazon EC2, and Spot Instances. Importantly, there are no extra fees associated with AWS Batch itself; users only incur costs for the AWS resources, such as EC2 instances or Fargate jobs, that they deploy for executing and storing their batch jobs. This makes AWS Batch not only efficient but also cost-effective for handling large-scale computing tasks. As a result, organizations can optimize their workflows and improve productivity without being burdened by complex infrastructure management.
Description
Utilize Spot Virtual Machines to access excess computing power at substantially reduced prices. This approach is ideal for deploying workloads that can withstand interruptions and are not bound by strict time constraints. You can efficiently run tasks related to development, testing, quality assurance, advanced analytics, big data, machine learning, AI, as well as batch processing, video rendering, and image transcoding—all while keeping costs remarkably low. It's important to focus on applications that are resilient to disruptions and can operate without a defined completion timeline when utilizing Spot VMs. As Azure faces a shortage of available computing resources, it's crucial to prioritize high-performance computing tasks, batch processing operations, or visual rendering projects to make the most of the resources at hand. Adopting this strategy can lead to significant cost efficiencies while still fulfilling diverse computing needs.
API Access
Has API
API Access
Has API
Integrations
AWS Fargate
AWS HPC
AWS ParallelCluster
AWS Secrets Manager
AWS Step Functions
Amazon EC2
Amazon EC2 P4 Instances
Amazon EC2 Trn2 Instances
Amazon FSx for Lustre
Amazon Fresh
Integrations
AWS Fargate
AWS HPC
AWS ParallelCluster
AWS Secrets Manager
AWS Step Functions
Amazon EC2
Amazon EC2 P4 Instances
Amazon EC2 Trn2 Instances
Amazon FSx for Lustre
Amazon Fresh
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/batch/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/virtual-machines/spot
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Product Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server