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What is EC2 Spot?

Amazon EC2 Spot Instances enable users to tap into the unused capacity of the AWS cloud, offering remarkable savings that can reach up to 90% when compared to standard On-Demand pricing. These instances are suitable for various applications that are stateless, resilient, or flexible, such as big data analytics, containerized workloads, continuous integration and delivery (CI/CD), web hosting, high-performance computing (HPC), as well as for development and testing purposes. The effortless integration of Spot Instances with a variety of AWS services—including Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline, and AWS Batch—facilitates efficient application deployment and management. Furthermore, by utilizing a combination of Spot Instances alongside On-Demand and Reserved Instances (RIs), as well as Savings Plans, users can significantly enhance both cost efficiency and performance. The extensive operational capacity of AWS allows Spot Instances to provide considerable scalability and cost advantages for handling large-scale workloads. Consequently, this inherent flexibility and the potential for cost reductions make Spot Instances an appealing option for organizations aiming to optimize their cloud expenditures while maximizing resource utilization. As companies increasingly seek ways to manage their cloud costs effectively, the strategic use of Spot Instances can play a pivotal role in their overall cloud strategy.

What is BidElastic?

Navigating the complex landscape of cloud services presents significant challenges for many organizations. To address these obstacles, we developed BidElastic, a comprehensive resource provisioning solution that consists of two components aimed at improving cloud efficiency: BidElastic BidServer, which minimizes computing costs, and BidElastic Intelligent Auto Scaler (IAS), which streamlines the management of cloud service providers. The BidServer utilizes advanced simulation methods and optimization algorithms to anticipate market fluctuations and create a robust infrastructure for spot instances available from cloud vendors. Adapting to varying workloads requires the agile scaling of cloud resources; however, implementing this can be quite difficult. For example, a sudden increase in user demand can lead to delays of up to 10 minutes for new servers to become operational, potentially resulting in permanent customer attrition. To facilitate effective resource scaling, precise predictions of computational demands are crucial. This is where CloudPredict comes into play, as it employs machine learning techniques to accurately forecast workloads, allowing companies to quickly adjust to shifting requirements. By combining these cutting-edge solutions, organizations can greatly improve their cloud service performance and enhance overall customer satisfaction, leading to a more competitive edge in the market. Additionally, such integration not only boosts operational efficiency but also encourages innovation in service delivery.

Media

Media

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
AWS Auto Scaling
AWS Batch
AWS CloudFormation
AWS Data Pipeline
Amazon EMR
Amazon Elastic Container Service (Amazon ECS)
DoiT
Xosphere

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
AWS Auto Scaling
AWS Batch
AWS CloudFormation
AWS Data Pipeline
Amazon EMR
Amazon Elastic Container Service (Amazon ECS)
DoiT
Xosphere

API Availability

Has API

API Availability

Has API

Pricing Information

$0.01 per user, one-time payment,
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/spot/

Company Facts

Organization Name

BidElastic

Company Location

Poland

Company Website

bidelastic.com/products-and-services/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Categories and Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

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