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Average Ratings 0 Ratings
Description
AWS Auto Scaling continuously observes your applications and automatically modifies capacity to ensure consistent and reliable performance while minimizing costs. This service simplifies the process of configuring application scaling for various resources across multiple services in just a few minutes. It features an intuitive and robust user interface that enables the creation of scaling plans for a range of resources, including Amazon EC2 instances, Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, as well as Amazon Aurora Replicas. By providing actionable recommendations, AWS Auto Scaling helps you enhance performance, reduce expenses, or strike a balance between the two. If you are utilizing Amazon EC2 Auto Scaling for dynamic scaling of your EC2 instances, you can now seamlessly integrate it with AWS Auto Scaling to extend your scaling capabilities to additional AWS services. This ensures that your applications are consistently equipped with the appropriate resources precisely when they are needed, leading to improved overall efficiency. Ultimately, AWS Auto Scaling empowers businesses to optimize their resource management in a highly efficient manner.
Description
Utilize Amazon Comprehend Medical to derive insights from unstructured data, facilitating efficient search and query processes. Forecast health-related trends through Amazon Athena queries, alongside Amazon SageMaker machine learning models and Amazon QuickSight analytics. Ensure compliance with interoperable standards, including the Fast Healthcare Interoperability Resources (FHIR). Leverage cloud-based medical imaging applications to enhance scalability and minimize expenses. AWS HealthLake, a service eligible for HIPAA compliance, provides healthcare and life sciences organizations with a sequential overview of individual and population health data, enabling large-scale querying and analysis. Employ advanced analytical tools and machine learning models to examine population health patterns, anticipate outcomes, and manage expenses effectively. Recognize areas to improve care and implement targeted interventions by tracking patient journeys over time. Furthermore, enhance appointment scheduling and reduce unnecessary medical procedures through the application of sophisticated analytics and machine learning on newly structured data. This comprehensive approach to healthcare data management fosters improved patient outcomes and operational efficiencies.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
AWS AI Services
No
AWS Secrets Manager
Yes
Amazon Athena
No
Amazon Aurora
Yes
Amazon CloudWatch
Yes
Amazon EC2
Yes
Amazon Elastic Container Service (Amazon ECS)
Yes
Amazon Fresh
Yes
Amazon QuickSight
No
Integrations
Amazon Web Services (AWS)
Yes
AWS AI Services
Yes
AWS Secrets Manager
No
Amazon Athena
Yes
Amazon Aurora
No
Amazon CloudWatch
No
Amazon EC2
No
Amazon Elastic Container Service (Amazon ECS)
No
Amazon Fresh
No
Amazon QuickSight
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/autoscaling/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/healthlake/
Product Features
Server Management
CPU Monitoring
No
Credential Management
No
Database Servers
No
Email Monitoring
No
Event Logs
No
History Tracking
No
Patch Management
No
Scheduling
No
User Activity Monitoring
No
Virtual Machine Monitoring
No
Server Virtualization
Audit Management
No
Health Monitoring
No
Live Machine Migration
No
Multi-OS Virtual Machines
No
Patching / Backup
No
Performance Log
No
Performance Optimization
No
Rapid Provisioning
No
Security Management
No
Type 1 / Type 2 Hypervisor
No