CAST AI vs Turbo360 (Formerly Serverless360) comparison

CAST AI and Kovai.co are both solutions in the Cloud Cost Management category. CAST AI is ranked #13 with an average rating of 8.6, while Kovai.co is ranked #31. CAST AI holds a 1.9% mindshare in CCM, compared to Kovai.co’s 2.5% mindshare. Additionally, 100% of CAST AI users are willing to recommend the solution, compared to 100% of Kovai.co users who would recommend it.

CAST AI

Read 8 CAST AI reviews

1,650 Views
1,650 Comparison Views

100% willing to recommend

Turbo360 (Formerly Serverle...

Read 2 Turbo360 (Formerly Serverless360) reviews

4,421 Views
1,282 Comparison Views

100% willing to recommend

CAST AI

Turbo360 (Formerly Serverle...

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between CAST AI and Turbo360 (Formerly Serverless360) based on real PeerSpot user reviews.

Find out in this report how the two Cloud Cost Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed CAST AI vs. Turbo360 (Formerly Serverless360) Report (Updated: June 2026).

Buyer's Guide

CAST AI vs. Turbo360 (Formerly Serverless360)

June 2026

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Helped 908,834 peers since 2012

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

13th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Turbo360 (Formerly Serverle...

Ranking in Cloud Cost Management

31st

Average Rating

9.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (66th), Cloud Management (47th), Cloud Monitoring Software (36th)

Mindshare comparison

As of August 2026, in the Cloud Cost Management category, the mindshare of CAST AI is 1.9%, down from 2.0% compared to the previous year. The mindshare of Turbo360 (Formerly Serverless360) is 2.5%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Cost Management Mindshare Distribution
Product	Mindshare (%)
CAST AI	1.9%
Turbo360 (Formerly Serverless360)	2.5%
Other	95.6%

Cloud Cost Management

Featured Reviews

DeepakReddy

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.

Read full review

reviewer1868589

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.

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Quotes from Members

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

Pros

"Since adopting CAST AI, we achieved approximately 30-40% reduction in Kubernetes infrastructure costs."

"Since using CAST AI, we have achieved approximately 30 to 40 percent reduction in our Kubernetes infrastructure cost."

"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."

"Overall, CAST AI has been a valuable addition to our Kubernetes platform operations."

"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 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."

"In the last Q2 result, because of using CAST AI, we have reduced our manpower, money, and cost by 20 to 30%, which indicates substantial funding reduction."

"CAST AI monitors the workloads in the cluster and optimizes the number of nodes needed, their CPU and their memory so that we pay as little as possible."

More CAST AI pros

"That is exactly where Serverless360 helped us by bringing in both Service Bus management and monitoring under the same hood."

"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."

"Service Bus topic subscription monitoring turned out to be the most useful for us."

Cons

"CAST AI can be improved in that automation policies require careful tuning."

"The limitations of CAST AI include reporting and customization options."

"CAST AI could be improved by adding some AI agent capabilities."

"To improve CAST AI, I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies."

"Perhaps improving the documentation a little would allow it to reach that rating, which has benefited me regarding that specific focus."

"I would like to see CAST AI improved with deeper and more intelligent answers and solutions, along with additional optimization 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."

"I would like to see more granular reporting, deeper cost allocation insights, and additional customization options for optimization policies in CAST AI."

More CAST AI cons

"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."

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Top Industries

By visitors reading reviews

Outsourcing Company

25%

Energy/Utilities Company

12%

Construction Company

Educational Organization

Construction Company

20%

Financial Services Firm

16%

Comms Service Provider

13%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	3
Large Enterprise	3

No data available

Questions from the Community

What is your experience regarding pricing and costs for CAST AI?

CAST AI provides 80% to 85% accuracy. Because it is an AI system, sometimes it can make mistakes, but providing 80% to 85% accuracy is a pretty good number for any normal tool. It is good.

See all answers

What needs improvement with CAST AI?

I would like to see CAST AI improved with deeper and more intelligent answers and solutions, along with additional optimization and customization options. The customization option in particular cou...

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What is your primary use case for CAST AI?

My primary use case for CAST AI is Kubernetes cost efficiency, and since I handle the cloud system as well, CAST AI has been instrumental in helping me. We mainly use it to automate processes in AW...

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Compared 9% of the time

VMWare Tanzu CloudHealth vs CAST AI

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Compared 6% of the time

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Compared 6% of the time

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Compared 4% of the time

OpenText Real User Monitoring vs Turbo360 (Formerly Serverless360)

Compared 4% of the time

Spot by Flexera vs Turbo360 (Formerly Serverless360)

Compared 4% of the time

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Product Reports

Buyer's Guide

CAST AI

August 2026

Download CAST AI product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Turbo360 (Formerly Serverless360) report

Download Turbo360 (Formerly Serverless360) product report

Also Known As

No data available

Serverless360

Overview

CAST AI is revered for its powerful cloud optimization capabilities, notably in cost reduction, performance enhancement, and security strengthening. It automates resource management and scales operations efficiently, leading to significant organizational improvements in efficiency, cost savings, and smoother cloud integration and management.

CAST AI

Turbo360, previously known as Serverless360, provides advanced capabilities for managing distributed systems efficiently, catering to a knowledgeable audience seeking streamlined operations and enhanced performance.

Turbo360 offers a comprehensive suite designed to support businesses in tracking and managing complex distributed applications. It equips professionals with essential tools to simplify the intricate processes of application integration and monitoring, ensuring seamless operational functionality. Targeting a tech-savvy audience, Turbo360 enhances oversight and control over application processes, optimizing resource use and fault detection.

What are the key features of Turbo360?

Integration Tracking: Monitors data flow across applications.
Error Management: Detects and resolves system issues swiftly.
Performance Monitoring: Provides insights into application efficiency.
Resource Optimization: Streamlines resource allocation for better performance.

Why choose Turbo360?

Cost Efficiency: Reduces operational costs with optimized resource use.
Improved Performance: Enhances application speed and reliability.
Scalability: Adapts to growing business needs with ease.

Industries implementing Turbo360, specifically in finance and healthcare, benefit from its robust tracking and monitoring abilities, improving service delivery and resource management. Its adaptability makes it a preferred choice for organizations focusing on innovation and digital transformation.

Kovai.co

Sample Customers

Information Not Available

MSC, Transalta, Rank Group, RACQ, BBC, Q2 Solutions, Middleway, BUPA, Columbia Sportswear, EDF

Buyer's Guide

CAST AI vs. Turbo360 (Formerly Serverless360)

June 2026

Free Report: CAST AI vs. Turbo360 (Formerly Serverless360)

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