AWS Auto Scaling vs Elastic Observability comparison

Amazon Web Services (AWS) and Elastic are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.7, while Elastic is ranked #6 with an average rating of 8.7. Amazon Web Services (AWS) holds a 0.4% mindshare in APM, compared to Elastic’s 2.6% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

802 Views
754 Comparison Views

91% willing to recommend

Elastic Observability

Read 29 Elastic Observability reviews

8,436 Views
6,833 Comparison Views

88% willing to recommend

AWS Auto Scaling

Elastic Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

AWS Auto Scaling and Elastic Observability are both robust cloud solutions tailored to specific needs. AWS Auto Scaling appears to have the upper hand in ease of deployment and cost-effectiveness, while Elastic Observability stands out in advanced monitoring and analytics capabilities.

Features: AWS Auto Scaling automatically adjusts resources based on demand, ensures application efficiency, and integrates with AWS services. Elastic Observability provides real-time analytics, anomaly detection, and a comprehensive monitoring suite.

Room for Improvement: AWS Auto Scaling could benefit from more granular scaling policies, enhanced third-party tool integration, and better monitoring capabilities. Elastic Observability needs a more intuitive setup process, better documentation, and improved integration with cloud platforms.

Ease of Deployment and Customer Service: AWS Auto Scaling is perceived as straightforward to deploy with reliable customer support. Elastic Observability has a steeper learning curve but offers comprehensive support and detailed guides once operational.

Pricing and ROI: AWS Auto Scaling is cost-effective, reducing manual scaling efforts and providing favorable ROI. Elastic Observability has higher setup costs but justifies the investment with detailed insights and advanced analytics, leading to significant long-term ROI.

To learn more, read our detailed AWS Auto Scaling vs. Elastic Observability Report (Updated: December 2025).

Buyer's Guide

AWS Auto Scaling vs. Elastic Observability

December 2025

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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:

ROI

Sentiment score

1.0

AWS Auto Scaling optimizes costs and delivers significant ROI, reducing expenses for businesses and proving its financial value.

Sentiment score

6.5

Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.

No quotes available

For more quotes and insights, download the AWS Auto Scaling report

Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Customer Service

Sentiment score

4.4

Users praise AWS Auto Scaling's customer service for being efficient and helpful, despite occasional slow response times.

Sentiment score

7.6

Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.

AWS support is very good.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

For more quotes and insights, download the AWS Auto Scaling report

Elastic support really struggles in complex situations to resolve issues.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Their excellent documentation typically helps me solve any issues I encounter.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Scalability Issues

Sentiment score

7.2

AWS Auto Scaling offers easy, robust scalability for medium to large enterprises, efficiently handling user increases and traffic spikes.

Sentiment score

7.2

Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.

Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

For more quotes and insights, download the AWS Auto Scaling report

I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.

Stefan Decuypere

Technology Consultant at Hybrid software

Elastic Observability seems to have a good scale-out capability.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

Stability Issues

Sentiment score

5.9

AWS Auto Scaling is stable and reliable, though occasional scaling delays and server issues require effective deployment and management.

Sentiment score

8.2

Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.

No quotes available

For more quotes and insights, download the AWS Auto Scaling report

There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

It is very stable, and I would rate it ten out of ten based on my interaction with it.

Adelina Craciun

Product Owner at Swisscom

I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Room For Improvement

AWS Auto Scaling requires faster launches, better usability, improved documentation, enhanced security, automation, scalability, cost optimization, and clearer instructions.

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.

This complexity led me to migrate to CloudFormation, which simplifies the deployment process.

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

It requires a downtime before deploying the Auto Scaling group.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

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.

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

For more quotes and insights, download the AWS Auto Scaling report

For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.

Lakshmi Bodepu

Senior Consultant at Skillfield

It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.

reviewer708360

Senior Technical Sales at a tech vendor with 1,001-5,000 employees

Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

Setup Cost

AWS Auto Scaling costs vary; perceived as reasonable or expensive, depending on scaling extent, application needs, and usage.

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.

The pricing of Auto Scaling is medium range, neither high nor low.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

For more quotes and insights, download the AWS Auto Scaling report

The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.

Adelina Craciun

Product Owner at Swisscom

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.

Lakshmi Bodepu

Senior Consultant at Skillfield

For more quotes and insights, download the Elastic Observability report

Valuable Features

AWS Auto Scaling offers automated scaling, integrates with CloudWatch, supports Kubernetes, and enhances performance through efficient resource management.

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.

During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.

Jay Sevak

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

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

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Its automatic scaling capabilities are very useful.

Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

For more quotes and insights, download the AWS Auto Scaling report

The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

the most valued feature of Elastic is its log analytics capabilities.

reviewer708360

Senior Technical Sales at a tech vendor with 1,001-5,000 employees

All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.

Adelina Craciun

Product Owner at Swisscom

For more quotes and insights, download the Elastic Observability report

Categories and Ranking

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

14th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

6th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (9th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.4%, up from 0.1% compared to the previous year. The mindshare of Elastic Observability is 2.6%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Elastic Observability	2.6%
AWS Auto Scaling	0.4%
Other	97.0%

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.

Read full review

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

Read full review

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

Questions from the Community

What do you like most about AWS Auto Scaling?

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. W...

See all answers

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?

See all answers

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

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What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

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Comparisons

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Compared 30% of the time

VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 30% of the time

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 22% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 18% of the time

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Sentry vs Elastic Observability

Compared 8% of the time

Dynatrace vs Elastic Observability

Compared 7% of the time

New Relic vs Elastic Observability

Compared 7% of the time

Grafana vs Elastic Observability

Compared 7% of the time

Zabbix vs Elastic Observability

Compared 6% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Download AWS Auto Scaling product report

Buyer's Guide

Elastic Observability

January 2026

Download Elastic Observability product report

Also Known As

AWS Auto-Scaling

No data available

Overview

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Amazon Web Services (AWS)

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Buyer's Guide

AWS Auto Scaling vs. Elastic Observability

December 2025

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