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Average Ratings 0 Ratings
Description
Amazon Elastic File System (Amazon EFS) effortlessly expands and contracts as files are added or deleted, eliminating the need for manual management or provisioning. It allows for the secure and organized sharing of code and other files, enhancing DevOps efficiency and enabling quicker responses to customer input. With Amazon EFS, you can persist and share data from your AWS containers and serverless applications without any management overhead. Its user-friendly scalability provides the performance and reliability essential for machine learning and big data analytics tasks. Additionally, it streamlines persistent storage for contemporary content management system workloads. By utilizing Amazon EFS, you can accelerate the delivery of your products and services to market, ensuring they are reliable and secure while also reducing costs. Notably, you can easily create and configure shared file systems for AWS compute services without the need for provisioning, deployment, patching, or ongoing maintenance. Moreover, it allows you to scale your workloads on-demand, accommodating up to petabytes of storage and gigabytes per second of throughput right from the start, making it an ideal solution for businesses looking to optimize their cloud storage capabilities.
Description
IBM® Workload Automation offers a robust solution for managing both batch and real-time hybrid workloads, whether on distributed systems, mainframes, or in the cloud. Enhance your workload management capabilities with a solution driven by analytics. The latest version, Workload Automation 9.5, unveils innovative features that significantly enhance the management of enterprise workloads while streamlining automation processes. By centralizing management and eliminating manual interventions, you can make better decisions and lower operational costs. This solution also fosters greater agility in development and aligns seamlessly with the DevOps toolchain, enhancing both business and infrastructure responsiveness. Users can tailor workload dashboards, providing developers and operators with autonomy and precise governance. Its contemporary interface facilitates quick, data-driven decision-making, while customization options are made simple with integrated widgets that support data from any REST API. Furthermore, users can leverage catalogs and services to execute routine business tasks, enabling the running and monitoring of processes conveniently from a mobile device, thus ensuring flexibility and efficiency in workflow management.
API Access
Has API
API Access
Has API
Integrations
AWS Fargate
AWS Lambda
AWS Transfer Family
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
IBM Cloud
Observo AI
Veeam Backup for AWS
Integrations
AWS Fargate
AWS Lambda
AWS Transfer Family
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
IBM Cloud
Observo AI
Veeam Backup for AWS
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/efs/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/workload-automation
Product Features
Cloud Storage
Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control
Product Features
Workload Automation
Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support