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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.
Description
We are the sole provider in the industry capable of autonomously tuning applications at scale, whether for an individual app or throughout the entire service delivery framework. Opsani optimizes your application independently, ensuring that your cloud solution operates more efficiently and effectively without added effort on your part. Utilizing advanced AI and Machine Learning technologies, Opsani COaaS enhances cloud workload performance by perpetually reconfiguring and adjusting with every code update, load profile modification, and infrastructure enhancement. This process is seamless, allowing integration with a singular application or throughout your service delivery ecosystem while scaling autonomously across thousands of services. With Opsani, you can address all three of these challenges independently and without compromise. By employing Opsani's AI-driven algorithms, you can achieve cost reductions of up to 71%. The optimization process carried out by Opsani involves continually assessing trillions of configuration combinations to identify the most effective resource allocations and parameter settings for your needs. As a result, users can expect not just efficiency, but also a significant boost in overall application performance.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
AWS Auto Scaling
AWS CloudFormation
Amazon EMR
AppDynamics
Datadog
DigitalOcean
DoiT
GitHub
Google Cloud Platform
Integrations
Amazon Web Services (AWS)
AWS Auto Scaling
AWS CloudFormation
Amazon EMR
AppDynamics
Datadog
DigitalOcean
DoiT
GitHub
Google Cloud Platform
Pricing Details
$0.01 per user, one-time payment,
Free Trial
Free Version
Pricing Details
$500 per month
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/ec2/spot/
Vendor Details
Company Name
Opsani
Founded
2015
Country
United States
Website
opsani.com
Product 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
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Cloud Management
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Continuous Integration
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
