AWS Auto Scaling vs ServiceNow Cloud Observability comparison

AWS Auto Scaling vs. ServiceNow Cloud Observability

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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

39th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

ServiceNow Cloud Observability

Ranking in Application Performance Monitoring (APM) and Observability

42nd

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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 ServiceNow Cloud Observability is 0.7%, up from 0.4% 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%
ServiceNow Cloud Observability	0.7%
Other	98.8%

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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Uday-Thentu

Project Manager at a tech vendor with 10,001+ employees

Automation has reduced incident impact and is driving proactive self‑healing across hybrid services

ServiceNow Cloud Observability's valuable features include AI agents that can be integrated and triggered with workflows for evaluating and taking the right action in both process and technical aspects. On the process side, it ensures the right approvals are triggered. From the technical aspect, it allows integration for taking relevant action without human intervention, moving towards self-healing. The main benefit of ServiceNow Cloud Observability is real-time data, which helps us move from being reactive to more proactive. By defining and fine-tuning workflows, we were able to implement timely notification and auto-action or auto-remediations. At the same time, if anything involves additional cost or requires intervention, it helps trigger approval notifications, and once approval is received, it timely takes the action. The AI agents help define and fine-tune those workflows further.

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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

"The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. When it reaches seventy percent, it sends me an email notification."

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."

"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."

"Once we moved them to AWS and created the appropriate architecture, it solved the problem."

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

"It can scale."

"It is a stable platform."

More AWS Auto Scaling pros

"The main benefit of ServiceNow Cloud Observability is real-time data, which helps us move from being reactive to more proactive."

"The solution Lightstep/ServiceNow has a couple of pretty advanced functionalities to help us investigate a deviation and help the development teams have better observability in the environment using distributed and complex services."

"The ability to create a stream based on different parameters, operation name, service name, URL, tags, and URI part, is one valuable feature."

"The UI is very intuitive."

"To a certain extent, it is possible to save on the costs of the product."

Cons

"The speed of the solution must be improved."

"The product could add more features for managing instances."

"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."

"Flexibility in configuring the workload is missing in AWS Auto Scaling."

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

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

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

"It could be cheaper."

More AWS Auto Scaling cons

"The dashboard and graphics must be improved."

"The design of this solution is not very intuitive and probably could come with more friendly tips for beginners."

"In terms of licensing, users would want the product to offer them the ability to tailor the tasks offered in the solution to suit their needs."

"The support team could be better. Because of the different versions of different tactics of integrating reactive code base, the documentation is not very clear if someone has to be onboard. I would rate the documentation of Lightstep a five out of ten. It could need improvement."

"The cost could be reduced or lightweight agents and lightweight modules could be introduced, which would make it much easier to implement."

Pricing and Cost Advice

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

"The product is expensive."

"AWS Auto Scaling's price is high."

"The product has moderate pricing."

"AWS Auto Scaling is an expensive solution."

"AWS Auto Scaling is a cheap solution."

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

"The product is expensive. I rate the tool's pricing model an eight out of ten."

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902,988 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

16%

Educational Organization

11%

Financial Services Firm

10%

Comms Service Provider

Financial Services Firm

12%

Manufacturing Company

11%

Construction Company

10%

Retailer

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.

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...

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...

What needs improvement with LightStep?

The cost could be reduced or lightweight agents and lightweight modules could be introduced, which would make it much easier to implement.

What is your primary use case for LightStep?

ServiceNow Cloud Observability's main use case is end-to-end automation starting from the trigger in the cloud. Currently, it focuses more on self-healing and understanding the complete uptime of e...

What advice do you have for others considering LightStep?

Regarding security, I unfortunately do not have much hands-on experience. My focus has been majorly on self-healing activities, but given what I have observed, it does provide a good opportunity in...

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

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Compared 11% of the time

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Compared 7% of the time

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Compared 5% of the time

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Product Reports

Application Performance Monitoring (APM) and Observability

Download AWS Auto Scaling product report

ServiceNow Cloud Observability

Download ServiceNow Cloud Observability product report

Also Known As

AWS Auto-Scaling

LightStep

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)

ServiceNow Cloud Observability offers advanced monitoring and alerting capabilities, leveraging AI-driven automation and seamless integrations to enhance visibility and performance in hybrid environments.

ServiceNow Cloud Observability empowers teams with real-time metrics and tracing capabilities, essential for managing numerous microservices across hybrid environments. It integrates seamlessly with popular tools like Grafana, offering a single-pane view of application health and performance. This solution supports self-healing and AI automation, reducing manual interventions and enhancing reliability. Although powerful, users see room for improvement in SDK integration, documentation clarity, and dashboard design, while performance issues are noted when handling a large volume of traces.

What are the most important features of ServiceNow Cloud Observability?

Stream Creation: Enables dashboards via Grafana, enhancing data visualization.
Intuitive Notebooks: Facilitates sharing insights and collaboration.
AI Automation: Supports proactive workflows for better efficiency.
Performance Analytics: Provides comprehensive insights for decision-making.
Latency Monitoring: Ensures quick detection and response to issues.
Error Rate Monitoring: Identifies and addresses potential problems.
Correlation Detection: Enhances problem-solving through detailed analysis.
Self-Healing: Reduces manual interventions and improves service reliability.

What benefits or ROI should be considered in reviews?

Real-Time Visibility: Empowers comprehensive monitoring across microservices.
Seamless Integrations: Supports various tools like Grafana for enhanced functionality.
AI-Driven Reliability: Offers automation and self-healing for reduced downtime.
Performance Insights: Enhances strategic decision-making through detailed analytics.

ServiceNow Cloud Observability is crucial for industries relying on extensive microservices and hybrid environments. Its real-time metrics and tracing are vital for sectors like finance, technology, and telecommunications, where seamless operations and immediate responsiveness are critical.

ServiceNow

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

InVision, Twilio, Lyft, Yext, DigitalOcean,

AWS Auto Scaling vs. ServiceNow Cloud Observability