Thoras AI Pricing Overview

Thoras AI has not provided pricing information for this product or service. This is common practice for software sellers and service providers. Contact Thoras AI to obtain current pricing.

Thoras AI Alternatives Pricing

The following is a quick overview of editions offered by other Container Monitoring Tools

Dynatrace
Full-stack monitoring
Starts at $69 per month billed annually, per 8 GB Host
Advanced observability for apps and infrastructure across hybrid and multi-clouds at scale
  • Application performance
  • Infrastructure monitoring
  • AIOps
  • Digital business analytics
Google Compute Engine
Beyond Free Tier and Free Trial
Pay As You GoPer Month
Pricing for Compute Engine is based on per-second usage of the machine types, persistent disks, and other resources that you select for your virtual machines.
  • Compute Engine charges for usage based on the following price sheet: https://cloud.google.com/compute/all-pricing
SolarWinds Observability
Self-Hosted Essentials
Starting at $7.42Per Month
Price per node per month, multi-year contract billed annually. Includes:
  • Network Performance Monitoring
  • Server and Application Monitoring
  • Monitoring AWS®, Microsoft Azure®, and GCP®
  • Log Analysis
  • IP Address Management

Various alternatives pricing & plans

Pricing information for the above various Thoras AI alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

Thoras AI Pricing Reviews

(1)
Ryan W.
RW
Principal Site Reliability Engineer
Mid-Market (51-1000 emp.)
"Thoras Helped Us Optimize Kubernetes Usage, Reliability, and Cloud Spend"
What do you like best about Thoras AI?

Beyond the tech, which is excellent, the Thoras team have been true partners in our journey to optimize our Kubernetes environments and have gone above and beyond to support us to integrate and tune their product. Review collected by and hosted on G2.com.

What do you dislike about Thoras AI?

Onboarding Thoras' configurations to our pipeline for each microservice has been a little time-consuming.

Our account manager provided a script and paired on Zoom to help bootstrap Thoras and start training the operator on our environment. That was a good experience and helped us to see value quickly, but generating the configs and adding them to our IaC pipeline for each app required a fair amount of work.

I should be clear here: The source of this friction is chiefly the complexity of our pipeline rather than an issue with Thoras. Review collected by and hosted on G2.com.

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