Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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 

Screenshots View All

Screenshots View All

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 
Amazon SageMaker No 
Ant Media Server Yes 
Beats Yes 
Jeeva eClinical Cloud Yes 
New Relic Yes 
Observe Yes 
RadiantOne Yes 
Suntek Reporting Yes 
Sweven Yes 
WebLOAD Yes 

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 
Amazon SageMaker Yes 
Ant Media Server No 
Beats No 
Jeeva eClinical Cloud No 
New Relic No 
Observe No 
RadiantOne No 
Suntek Reporting No 
Sweven No 
WebLOAD No 

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 

Alternatives

Alibaba Auto Scaling Reviews

Alibaba Auto Scaling

Alibaba Cloud

Alternatives

HealthAPIx Reviews

HealthAPIx

Google
MedicaSoft NXT Reviews

MedicaSoft NXT

MedicaSoft
Enterpristore Reviews

Enterpristore

Logistica Solutions