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Average Ratings 0 Ratings
Description
Amazon EC2 Auto Scaling ensures that your applications remain available by allowing for the automatic addition or removal of EC2 instances based on scaling policies that you set. By utilizing dynamic or predictive scaling policies, you can adjust the capacity of EC2 instances to meet both historical and real-time demand fluctuations. The fleet management capabilities within Amazon EC2 Auto Scaling are designed to sustain the health and availability of your instance fleet effectively. In the realm of efficient DevOps, automation plays a crucial role, and one of the primary challenges lies in ensuring that your fleets of Amazon EC2 instances can automatically launch, provision software, and recover from failures. Amazon EC2 Auto Scaling offers vital functionalities for each phase of instance lifecycle automation. Furthermore, employing machine learning algorithms can aid in forecasting and optimizing the number of EC2 instances needed to proactively manage anticipated changes in traffic patterns. By leveraging these advanced features, organizations can enhance their operational efficiency and responsiveness to varying workload demands.
Description
Amazon EC2 Spot Instances allow users to leverage unused capacity within the AWS cloud, providing significant savings of up to 90% compared to standard On-Demand pricing. These instances can be utilized for a wide range of applications that are stateless, fault-tolerant, or adaptable, including big data processing, containerized applications, continuous integration/continuous delivery (CI/CD), web hosting, high-performance computing (HPC), and development and testing environments. Their seamless integration with various AWS services—such as Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline, and AWS Batch—enables you to effectively launch and manage applications powered by Spot Instances. Additionally, combining Spot Instances with On-Demand, Reserved Instances (RIs), and Savings Plans allows for enhanced cost efficiency and performance optimization. Given AWS's vast operational capacity, Spot Instances can provide substantial scalability and cost benefits for running large-scale workloads. This flexibility and potential for savings make Spot Instances an attractive choice for businesses looking to optimize their cloud spending.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
AWS Auto Scaling
No
AWS Batch
No
AWS CloudFormation
No
AWS Data Pipeline
No
Amazon EC2 UltraClusters
Yes
Amazon EMR
No
Amazon Elastic Container Service (Amazon ECS)
No
DoiT
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
AWS Auto Scaling
Yes
AWS Batch
Yes
AWS CloudFormation
Yes
AWS Data Pipeline
Yes
Amazon EC2 UltraClusters
No
Amazon EMR
Yes
Amazon Elastic Container Service (Amazon ECS)
Yes
DoiT
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.01 per user, one-time payment,
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
Yes
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)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/autoscaling/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/spot/
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
Yes
Continuous Deployment
Yes
Debugging
No
Permission Management
No
Quality Assurance Management
No
Testing Management
No