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What is Parquantix?

Tailored for AWS Partners and customers, Parquantix emerges as a leading strategic partner for organizations seeking to monitor, analyze, and optimize their AWS usage in real-time through our innovative AI-powered tool, which guarantees the efficient deployment of AWS resources consistently. Our advanced platform boosts cloud compute and database performance by promoting the proactive acquisition and administration of reserved instances and savings plans. By leveraging our AI-driven software, companies can realize savings of as much as 60% in comparison to traditional on-demand pricing models. For qualifying partners, we present the option to finance the upfront fees for reserved instances and savings plans, distributing the costs over the entire duration of their usage. Partners can choose to hold reserved instances solely for the period they require, thereby avoiding the limitations associated with lengthy 1 or 3-year contracts. Furthermore, they have the opportunity to sell any unused reserved instances on the AWS Marketplace and upgrade to the latest generation instances, ensuring optimal price performance. Regardless of your sector, whether it be technology, e-commerce, or media, the lack of an automated optimization solution can lead to excessive cloud costs. By adopting our service, organizations can achieve considerable reductions in expenses and enhance their resource management capabilities. This proactive approach not only streamlines cloud spending but also fosters a more sustainable operational model.

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.

Media

Media

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
Amazon ElastiCache
Amazon RDS

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

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.01 per user, one-time payment,

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Parquantix

Date Founded

2017

Company Location

United States

Company Website

parquantix.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/spot/

Categories and Features

Cloud Cost Management

Not specified

Categories and Features

Big Data

Data Blends
Data Cleansing
Data Mining
Data Warehousing
High Volume Processing
Predictive Analytics

Continuous Integration

Continuous Delivery
Continuous Deployment

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