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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

Screenshots View All

Screenshots View All

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
Amazon Linux 2
Azure Marketplace
BMC AMI Ops Automation for Capping
Beats
EC2 Spot
Flyte
RadiantOne
Saagie
Stonebranch
Union Cloud

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
Amazon Linux 2
Azure Marketplace
BMC AMI Ops Automation for Capping
Beats
EC2 Spot
Flyte
RadiantOne
Saagie
Stonebranch
Union Cloud

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

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