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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Parsivex serves as a platform designed for engineering teams to optimize AWS costs and identify waste associated with their cloud expenditures. Much of the waste in AWS arises from everyday oversights, such as RDS instances left running, unattached EBS volumes, NAT Gateways that are no longer useful, and EC2 instances that were provisioned for a load test long ago. While Cost Explorer can indicate an increase in costs, it fails to provide actionable insights about what can be removed. Connecting through a read-only IAM role, Parsivex operates without the need for agents or write permissions, thoroughly scanning for specific instances of waste: idle EC2 instances, unused RDS and load balancers, orphaned snapshots and Elastic IPs, over-provisioned computing resources, and untagged items. Each identified issue comes with detailed information, including the resource ID, its region, the potential monthly savings, and the rationale for its selection, enabling engineers to validate findings and take action without necessitating further investigation. Additionally, scans are conducted on a predetermined schedule and can flag cost anomalies while expenses are still manageable, all from a unified dashboard that supports multi-region management. There are no sales calls required; simply initiate a free scan and receive your initial report within minutes, allowing for immediate insight into potential savings.

Description

A CLB cluster is made up of four physical servers, achieving a remarkable availability rate of up to 99.95%. Even in scenarios where only a single CLB instance remains operational, it is capable of handling more than 30 million concurrent connections. The system is designed to swiftly eliminate any malfunctioning instances while retaining healthy ones, ensuring the backend server's continuous functionality. Additionally, the CLB cluster can flexibly scale the service capacity of the application in response to business demand, automatically generating and releasing CVM instances via the Auto Scaling dynamic scaling group. Complementing these capabilities is a dynamic monitoring system along with a billing mechanism that tracks usage down to the second, alleviating the need for manual resource management or forecasting. This streamlined process not only optimizes resource allocation but also significantly reduces the potential for waste, allowing businesses to focus on growth rather than infrastructure management. Ultimately, the combination of these advanced features promotes a more efficient and responsive computing environment.

API Access

Has API

API Access

Has API

Screenshots View All

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Integrations

Amazon Web Services (AWS)
Tencent Cloud

Integrations

Amazon Web Services (AWS)
Tencent Cloud

Pricing Details

$39/month
Free Trial
Free Version

Pricing Details

No price information available.
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

Parsivex ApS

Founded

2026

Country

Denmark

Website

www.parsivex.com

Vendor Details

Company Name

Tencent

Founded

2013

Country

China

Website

intl.cloud.tencent.com/product/clb

Product Features

Cloud Cost Management

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

Product Features

Load Balancing

Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers

Alternatives

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Amazon