AWS Auto Scaling vs Turbo360 (Formerly Serverless360) comparison

Amazon Web Services (AWS) and Kovai.co are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #39 with an average rating of 8.5, while Kovai.co is ranked #62. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Kovai.co’s 0.8% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Kovai.co users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

1,935 Views
1,858 Comparison Views

92% willing to recommend

Turbo360 (Formerly Serverle...

Read 2 Turbo360 (Formerly Serverless360) reviews

3,958 Views
1,742 Comparison Views

100% willing to recommend

AWS Auto Scaling

Turbo360 (Formerly Serverle...

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

AWS Auto Scaling and Turbo360 are two cloud management tools evaluated for their features, room for improvement, ease of deployment, and pricing and ROI. AWS Auto Scaling has the upper hand in robust features, while Turbo360 is favored for ease of use and better customer support.

Features: AWS Auto Scaling offers robust auto-scaling capabilities, comprehensive monitoring, and integration with other AWS services. Turbo360 provides ease of use, intuitive serverless management, and effective monitoring features.

Room for Improvement:AWS Auto Scaling needs to address complexity, steep learning curve, and initial setup challenges. Turbo360 can improve advanced configuration options, documentation, and support for larger deployments.

Ease of Deployment and Customer Service:AWS Auto Scaling is complex to deploy but has extensive support resources and customer service, although responsive, can be slow. Turbo360 has straightforward deployment and proactive, prompt customer support.

Pricing and ROI: AWS Auto Scaling's pricing model is beneficial for large-scale deployments but has high initial setup costs. Turbo360 offers transparent pricing with better ROI for smaller to mid-sized projects.

To learn more, read our detailed AWS Auto Scaling vs. Turbo360 (Formerly Serverless360) Report (Updated: June 2026).

Buyer's Guide

AWS Auto Scaling vs. Turbo360 (Formerly Serverless360)

June 2026

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Helped 902,988 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

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

39th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Turbo360 (Formerly Serverle...

Ranking in Application Performance Monitoring (APM) and Observability

62nd

Average Rating

9.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Management (47th), Cloud Monitoring Software (35th), Cloud Cost Management (30th)

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.2% compared to the previous year. The mindshare of Turbo360 (Formerly Serverless360) is 0.8%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS Auto Scaling	0.5%
Turbo360 (Formerly Serverless360)	0.8%
Other	98.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Automation has simplified traffic management and improved workload efficiency

I'm not really sure what improvements I would want to see in AWS Auto Scaling because I haven't really used it extensively or explored most of it. To the extent that I've used it so far, I think it is very good. I can't really say for certain what should be improved because I haven't really explored it a lot. However, what I've been using it for has been very good. If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help. If there could be more documentation and training on it, that would be beneficial.

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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.

Read full review

Quotes from Members

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

Pros

"The setup is not very complex."

"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."

"The solution's monitoring effectively monitors our application and CPU utilization."

"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."

"The automation aspect where you can automate it to whatever you want is what I value the most about Auto Scaling."

"AWS Auto Scaling is cost-effective and very useful for businesses."

"It can scale."

"The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails."

More AWS Auto Scaling pros

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

"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."

"Serverless360 transformed the way our organizations manage Azure and hybrid integrations."

Cons

"There hasn't been a need for improvements."

"If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help."

"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance."

"The tool's stability could be improved."

"The solution's infrastructure scalability and elasticity could be improved."

"The speed of the solution must be improved."

"The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers."

"In comparison to other public clouds, the product is costly."

More AWS Auto Scaling cons

"The user interface of Serveress360 could be improved a bit to make the platform even easier to use."

"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."

Pricing and Cost Advice

"The product is expensive."

"The pricing is good. I have not had any customers that have complained about the price."

"The product has moderate pricing."

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"AWS Auto Scaling is a cheap solution."

"AWS Auto Scaling's price is high."

Information not available

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Top Industries

By visitors reading reviews

Construction Company

16%

Educational Organization

11%

Financial Services Firm

10%

Comms Service Provider

Construction Company

19%

Financial Services Firm

16%

Computer Software Company

11%

Comms Service Provider

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	12

No data available

Questions from the Community

What is your experience regarding pricing and costs for AWS Auto Scaling?

I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.

See all answers

What needs improvement with AWS Auto Scaling?

AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens. Sometimes, I am not sure why scaling occurs. Ea...

See all answers

What is your primary use case for AWS Auto Scaling?

My main use case for AWS Auto Scaling is automatically scaling EC2 instances behind a load balancer based on traffic, CPU, and memory usage, as well as custom CloudWatch metrics. I also use it with...

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Comparisons

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Compared 15% of the time

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Compared 12% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 9% of the time

Snyk vs AWS Auto Scaling

Compared 7% of the time

Alluvio AppResponse vs AWS Auto Scaling

Compared 6% of the time

More AWS Auto Scaling Competitors

Datadog vs Turbo360 (Formerly Serverless360)

Compared 6% of the time

Azure Monitor vs Turbo360 (Formerly Serverless360)

Compared 6% of the time

CAST AI vs Turbo360 (Formerly Serverless360)

Compared 6% of the time

Elastic Observability vs Turbo360 (Formerly Serverless360)

Compared 4% of the time

Harness vs Turbo360 (Formerly Serverless360)

Compared 4% of the time

More Turbo360 (Formerly Serverless360) Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

June 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

June 2026

Turbo360 (Formerly Serverless360) report

Download Turbo360 (Formerly Serverless360) product report

Also Known As

AWS Auto-Scaling

Serverless360

Overview

AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.

AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.

What are the key features of AWS Auto Scaling?

Automatic Scaling: Adjusts resources based on real-time demand metrics.
CloudWatch Integration: Seamless monitoring integration for efficient resource management.
Target Tracking: Maintains desired performance levels by adjusting resources as needed.
Scheduled Scaling: Pre-configure adjustments based on expected demand changes.
Self-Healing: Automatically replaces unhealthy instances to ensure maximum uptime.

What benefits should users expect from AWS Auto Scaling?

Cost Efficiency: Reduces cost by adjusting resources based on fluctuating demand.
Reliable Performance: Ensures consistent performance even with varying traffic levels.
Minimal Downtime: Automatically adapts to traffic changes to keep services running smoothly.
User-Friendly Interface: Simple operation with intuitive controls and configurations.
Flexibility: Supports a range of AWS services, adapting to different use cases and demands.

In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.

Amazon Web Services (AWS)

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

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

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

Buyer's Guide

AWS Auto Scaling vs. Turbo360 (Formerly Serverless360)

June 2026

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