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 #40 with an average rating of 8.5, while Kovai.co is ranked #66. 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

2,155 Views
2,069 Comparison Views

92% willing to recommend

Turbo360 (Formerly Serverle...

Read 2 Turbo360 (Formerly Serverless360) reviews

4,421 Views
1,901 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: August 2026).

Buyer's Guide

AWS Auto Scaling vs. Turbo360 (Formerly Serverless360)

August 2026

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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

40th

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

66th

Average Rating

9.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Management (47th), Cloud Monitoring Software (36th), Cloud Cost Management (31st)

Mindshare comparison

As of August 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.

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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

"It can scale."

"The most valuable feature of the solution is that it scales automatically without manual intervention based on the metrics we provide."

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

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

"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."

"Our internal business applications are hosted in AWS Auto Scaling."

"I like the graphs provided by the tool."

"The solution helps optimize the cost of the AWS environment."

More AWS Auto Scaling pros

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

"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."

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

Cons

"The setup can be a bit complex in some situations."

"The tool must include AI features."

"The tool's stability could be improved."

"It could be cheaper."

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

"The solution must improve automation."

"Setting up the configuration involves too much work for the cloud engineer, like configuring the ALB, the target group, and all the steps."

"The product’s security features need improvement."

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

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

"AWS Auto Scaling's price is high."

"The product is expensive."

"The product has moderate pricing."

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

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling is a cheap solution."

Information not available

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Top Industries

By visitors reading reviews

Construction Company

17%

Outsourcing Company

13%

Educational Organization

12%

Financial Services Firm

Construction Company

20%

Financial Services Firm

15%

Comms Service Provider

15%

Computer Software Company

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...

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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 17% of the time

VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 13% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 7% of the time

Snyk vs AWS Auto Scaling

Compared 6% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 5% of the time

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CAST AI vs Turbo360 (Formerly Serverless360)

Compared 6% of the time

Datadog vs Turbo360 (Formerly Serverless360)

Compared 6% of the time

Azure Monitor vs Turbo360 (Formerly Serverless360)

Compared 5% of the time

OpenText Real User Monitoring 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

August 2026

Download AWS Auto Scaling 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

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)

August 2026

Free Report: AWS Auto Scaling vs. Turbo360 (Formerly Serverless360)

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