No more typing reviews! Try our Samantha, our new voice AI agent.

CAST AI vs Turbo360 (Formerly Serverless360) comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

CAST AI
Ranking in Cloud Cost Management
39th
Average Rating
8.6
Reviews Sentiment
8.1
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Turbo360 (Formerly Serverle...
Ranking in Cloud Cost Management
30th
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
Application Performance Monitoring (APM) and Observability (66th), Cloud Management (47th), Cloud Monitoring Software (38th)
 

Mindshare comparison

As of June 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.6%, down from 1.9% compared to the previous year. The mindshare of Turbo360 (Formerly Serverless360) is 2.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Cost Management Mindshare Distribution
ProductMindshare (%)
Turbo360 (Formerly Serverless360)2.6%
CAST AI1.6%
Other95.8%
Cloud Cost Management
 

Featured Reviews

DeepakReddy - PeerSpot reviewer
Sr.Devops engineer at Scaler
Automated cost controls have cut cloud waste and free our team to focus on new projects
CAST AI can be improved in that automation policies require careful tuning. Sometimes it can be confusing for non-technical people or managers who are not familiar with technical details. However, it is good for technical people who are already into DevOps or cloud engineering. Spot strategies may need adjustment for sensitive workloads. The reporting and UI part can be somewhat better. Technical support can also be improved. Documentation is somewhat unclear sometimes, but not everywhere. There are many pros here, including easy onboarding, simple deployment, and excellent Kubernetes visibility, strong spot instance automation, and automated right-sizing. These features are very good for our organization because they reduce a lot of cost and reduce a lot of manual effort. However, some things can be improved, such as automation policies that require careful tuning and may need somewhat more help. Spot strategies can be improved, and some UI and documentation can also be improved.
reviewer1868589 - PeerSpot reviewer
Python Engineer at Msys Technologies
Great topic subscription monitoring, helpful management, and useful for audits
Addition of more monitoring features to Azure Cosmos DB can be a huge help as we use the same as the main database for our applications. One more thing to note is that their support team was always ready to clear all our doubts regarding the product but we feel that it would be much appreciated if they could share with us the required resources to get new customers like us well-versed in traversing through different modules of the product. These are the very few areas where Serverless360 can be improved.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"In terms of cost savings, we have currently reduced our costs by 30 to 40%, and it saves time while managing infrastructure because it continuously monitors and provides the nodes to the application, so we don't need to do anything ourselves."
"CAST AI's machine learning algorithms that listen to the data generated by the cluster in order to optimize the workloads are among the best features offered."
"CAST AI has reduced approximately 40% of our AWS bills and AWS cloud bills, really impacting our organization positively and enabling us to use our cloud better."
"Overall, CAST AI has been a valuable addition to our Kubernetes platform operations."
"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."
"Serverless360 transformed the way our organizations manage Azure and hybrid integrations."
"It offers all the core capabilities we need to manage and monitor our Azure services."
"That is exactly where Serverless360 helped us by bringing in both Service Bus management and monitoring under the same hood."
"Service Bus topic subscription monitoring turned out to be the most useful for us."
 

Cons

"To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies."
"The limitations of CAST AI include reporting and customization options."
"The reason I did not give it a perfect score is that I would still prefer to see more advanced cost reporting and workload-level analytics."
"CAST AI can be improved in that automation policies require careful tuning."
"Perhaps improving the documentation a little would allow it to reach that rating, which has benefited me regarding that specific focus."
"Addition of more monitoring features to Azure Cosmos DB can be a huge help as we use the same as the main database for our applications."
"The user interface of Serveress360 could be improved a bit to make the platform even easier to use."
report
Use our free recommendation engine to learn which Cloud Cost Management solutions are best for your needs.
902,495 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Educational Organization
11%
Construction Company
11%
Energy/Utilities Company
9%
Construction Company
18%
Financial Services Firm
16%
Computer Software Company
13%
Comms Service Provider
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise2
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?
In terms of pricing, I believe the pricing is reasonable because of the amount of savings and operational efficiency it delivers, making it easier to justify the investment. Organizations with larg...
What needs improvement with CAST AI?
The limitations of CAST AI include reporting and customization options. I think they can improve in these areas, especially when some advanced settings require a learning curve, particularly for te...
What is your primary use case for CAST AI?
Our main use case for CAST AI is Kubernetes cost optimization, automated node provisioning, and improving cluster efficiency. I can provide a specific example of how we use CAST AI for Kubernetes c...
Ask a question
Earn 20 points
 

Also Known As

No data available
Serverless360
 

Overview

 

Sample Customers

Information Not Available
MSC, Transalta, Rank Group, RACQ, BBC, Q2 Solutions, Middleway, BUPA, Columbia Sportswear, EDF
Find out what your peers are saying about CAST AI vs. Turbo360 (Formerly Serverless360) and other solutions. Updated: June 2026.
902,495 professionals have used our research since 2012.