AWS Auto Scaling vs ServiceNow Cloud Observability comparison

Why PeerSpot?

Amazon Web Services (AWS) and ServiceNow are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #42 with an average rating of 8.5, while ServiceNow is ranked #64. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to ServiceNow’s 0.7% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of ServiceNow users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

2,406 Views
2,310 Comparison Views

92% willing to recommend

ServiceNow Cloud Observability

Read 5 ServiceNow Cloud Observability reviews

2,425 Views
2,328 Comparison Views

100% willing to recommend

AWS Auto Scaling

ServiceNow Cloud Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

ServiceNow Cloud Observability and AWS Auto Scaling are both prominent solutions for managing cloud infrastructure. Users are generally more content with the comprehensive features and integration capabilities of ServiceNow Cloud Observability, despite AWS Auto Scaling leading with its scalability and deployment efficiency.

Features: ServiceNow Cloud Observability offers powerful monitoring and analytics tools, deep insights into system performance and health, and comprehensive integration capabilities. AWS Auto Scaling is known for its automatic adjustment capabilities, handling demand fluctuations, and excellent scalability. ServiceNow's detailed observability is highlighted as more valuable.

Room for Improvement: Users suggest ServiceNow Cloud Observability could enhance its alerting system, improve user interface intuitiveness, and offer more predictive functions. AWS Auto Scaling could benefit from more intuitive configuration options, simplified setup, and better documentation. Each product has specific areas for potential development.

Ease of Deployment and Customer Service: ServiceNow Cloud Observability is appreciated for its smooth deployment process and responsive customer service. AWS Auto Scaling is recognized for quick and flexible deployment but has mixed feedback on customer support experiences. ServiceNow delivers better support, while AWS is noted for deployment speed.

Pricing and ROI: ServiceNow Cloud Observability is perceived as a higher investment with significant long-term benefits in operational efficiency. AWS Auto Scaling is viewed as cost-effective with excellent ROI, particularly for businesses with variable workloads. Users find AWS more economical, but ServiceNow offers a broader spectrum of benefits justifying its cost.

To learn more, read our detailed AWS Auto Scaling vs. ServiceNow Cloud Observability Report (Updated: September 2026).

Buyer's Guide

AWS Auto Scaling vs. ServiceNow Cloud Observability

September 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

42nd

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

64th

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.3% 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.

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 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."

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

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

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

"The product provides self-healing features."

"It helps us to reduce the cost."

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

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

More AWS Auto Scaling pros

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

"The UI is very intuitive."

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

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

"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."

Cons

"The tool must include AI features."

"It requires a downtime before deploying the Auto Scaling group."

"The tool's stability could be improved."

"We can have more auto scaling algorithms implemented in AWS Auto Scaling."

"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."

"The speed of the solution must be improved."

"The product’s pricing needs improvement."

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

More AWS Auto Scaling cons

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

"The dashboard and graphics must be improved."

"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

"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 a cheap solution."

"The product is expensive."

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

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is an expensive solution."

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

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Top Industries

By visitors reading reviews

Construction Company

15%

Outsourcing Company

14%

Educational Organization

11%

Comms Service Provider

Financial Services Firm

11%

Construction Company

11%

Manufacturing Company

Comms Service Provider

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...

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

Comparisons

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 14% of the time

VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 11% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 6% of the time

Snyk vs AWS Auto Scaling

Compared 5% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 4% of the time

More AWS Auto Scaling Competitors

Datadog vs ServiceNow Cloud Observability

Compared 10% of the time

Snyk vs ServiceNow Cloud Observability

Compared 8% of the time

New Relic vs ServiceNow Cloud Observability

Compared 7% of the time

AWS X-Ray vs ServiceNow Cloud Observability

Compared 4% of the time

Cribl vs ServiceNow Cloud Observability

Compared 4% of the time

More ServiceNow Cloud Observability Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

September 2026

Download AWS Auto Scaling product report

Buyer's Guide

ServiceNow Cloud Observability

August 2026

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,

Buyer's Guide

AWS Auto Scaling vs. ServiceNow Cloud Observability

September 2026

Free Report: AWS Auto Scaling vs. ServiceNow Cloud Observability

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