AWS Auto Scaling vs Splunk Observability Cloud comparison

Amazon Web Services (AWS) and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #15 with an average rating of 8.8, while Splunk is ranked #6 with an average rating of 8.3. Amazon Web Services (AWS) holds a 0.4% mindshare in APM, compared to Splunk’s 2.4% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Splunk users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

1,113 Views
1,046 Comparison Views

91% willing to recommend

Splunk Observability Cloud

Read 82 Splunk Observability Cloud reviews

10,049 Views
5,326 Comparison Views

95% willing to recommend

AWS Auto Scaling

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

Splunk Observability Cloud and AWS Auto Scaling both compete in the data management and cloud services category. Splunk Observability Cloud appears to have the upper hand in features related to data integration and real-time metrics, whereas AWS Auto Scaling excels in automatic scaling and cost-effective resource management.

Features: Splunk Observability Cloud stands out with its robust data integration, real-time metrics, and customizable dashboards, which are crucial for managing high data volumes. It offers features like Application Performance Management (APM) and a fast alerting system. AWS Auto Scaling is notable for its automatic scaling capabilities, efficiently handling variable workloads and ensuring optimal performance during traffic spikes.

Room for Improvement: Users of Splunk Observability Cloud suggest improvements in pricing transparency, log management, and search performance, along with better onboarding and cost management solutions. AWS Auto Scaling faces criticism for its configuration complexity and there are requests for more advanced auto-scaling algorithms, along with a need for streamlined cost optimization.

Ease of Deployment and Customer Service: Splunk Observability Cloud provides flexible deployment options across various environments, but users would like faster response times and more proactive support engagement. AWS Auto Scaling’s cloud-native architecture offers seamless deployment, with customer service that users find reliable but needing more comprehensive training resources.

Pricing and ROI: Splunk Observability Cloud is perceived as expensive, yet provides significant ROI through its comprehensive features. AWS Auto Scaling’s pay-as-you-go model is attractive for its cost-effectiveness and scalability, requiring no substantial initial investment, making it suitable for managing dynamic workloads.

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

Buyer's Guide

AWS Auto Scaling vs. Splunk Observability Cloud

March 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:

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

6.7

Splunk Observability Cloud boosts workflow efficiency by over 75%, enhancing visibility, reducing downtime, and cutting costs for IT and DevOps.

No quotes available

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

Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.

Sathis-Kumar

Senior Manager at Bank of America

Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.

EdwardShim

General Manager at MOCOMSYS

I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.

Taiwo Ige

IT Operations Engineer at ABC Supply Co. Inc.

For more quotes and insights, download the Splunk Observability Cloud 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

7.2

Splunk Observability Cloud's customer service is praised for responsiveness and effectiveness despite some needing improved response times and personalization.

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

On a scale of 1 to 10, the customer service and technical support deserve a 10.

reviewer2755917

Systems Administrator at a insurance company with 1,001-5,000 employees

They have consistently helped us resolve any issues we've encountered.

Juan Baez

Software Engineer at UKG

They often require multiple questions, with five or six emails to get a response.

Abdelmonam LABBOUZ

Splunk Observability Expert

For more quotes and insights, download the Splunk Observability Cloud 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

Splunk Observability Cloud is scalable and flexible for large operations, but costs and performance require careful management.

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

We've used the solution across more than 250 people, including engineers.

Abdelmonam LABBOUZ

Splunk Observability Expert

As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.

Lalatendu Swain

Application Developer at UMB Financial

I would rate its scalability a nine out of ten.

Sathis-Kumar

Senior Manager at Bank of America

For more quotes and insights, download the Splunk Observability Cloud 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

7.7

Splunk Observability Cloud is stable with minor issues, generally rated highly, though user-specific environments may affect performance.

No quotes available

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

When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.

reviewer2800332

Aws Dev Ops Engineer at a consultancy with 10,001+ employees

I would rate its stability a nine out of ten.

Muhammad M

Head of DevOps at a tech services company with 1-10 employees

We rarely have problems accessing the dashboard or the page.

Abdelmonam LABBOUZ

Splunk Observability Expert

For more quotes and insights, download the Splunk Observability Cloud report

Room For Improvement

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

Splunk Observability Cloud requires better usability, pricing transparency, tool integration, search performance, and enhanced documentation, training, and customization.

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

The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.

Taiwo Ige

IT Operations Engineer at ABC Supply Co. Inc.

The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.

Sarah Van Zee

Systems Monitoring Engineer II at a government with 10,001+ employees

There should be a solution to update OTeL agents from Splunk Observability Cloud itself.

HrishikeshNavkar

Senior Software Engineer at WorldPay US

For more quotes and insights, download the Splunk Observability Cloud report

Setup Cost

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

Splunk Observability Cloud offers valuable features but faces criticism for its higher pricing compared to alternatives like Dynatrace and AppDynamics.

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

Splunk is a bit expensive since it charges based on the indexing rate of data.

Sathis-Kumar

Senior Manager at Bank of America

It is expensive, especially when there are other vendors that offer something similar for much cheaper.

Ernesto Gutierrez

Solutions Architect at Ikusi

I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.

Jigar Hirani

Splunk Engineer at Data Elicit Solutions Pvt. Ltd.

For more quotes and insights, download the Splunk Observability Cloud report

Valuable Features

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

Splunk Observability Cloud offers customizable dashboards, real-time monitoring, AI analytics, integration capabilities, and scalability for enhanced operational 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

Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.

Sathis-Kumar

Senior Manager at Bank of America

For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.

Abdelmonam LABBOUZ

Splunk Observability Expert

It offers unified visibility for logs, metrics, and traces.

Mary Vasantha Golleru

Administrator at a tech vendor with 10,001+ employees

For more quotes and insights, download the Splunk Observability Cloud report

Categories and Ranking

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

15th

Average Rating

8.8

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Splunk Observability Cloud

Ranking in Application Performance Monitoring (APM) and Observability

6th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Network Monitoring Software (8th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (6th), Container Management (5th), Digital Experience Monitoring (DEM) (2nd)

Mindshare comparison

As of March 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 Splunk Observability Cloud is 2.4%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Splunk Observability Cloud	2.4%
AWS Auto Scaling	0.4%
Other	97.2%

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

Taiwo Ige

IT Operations Engineer at ABC Supply Co. Inc.

Alerting improves incident response across teams and enables faster awareness before customer impact

Splunk Observability Cloud could be improved in terms of integrations with more technical add-ons, such as Zoom. Although they have one with Zoom, it's not available in the cloud, so having that feature would be beneficial. Essentially, Splunk should continue expanding to create easier ways to ingest logs from different products. The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders. However, there are aspects that could be improved, such as linking dashboards to one another. While IT leaders may not drill down, it's crucial to create levels of dashboards for technical users to find root causes, making it effective for stakeholders.

Read full review

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Top Industries

By visitors reading reviews

Construction Company

13%

Comms Service Provider

Educational Organization

Manufacturing Company

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

Retailer

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	24
Midsize Enterprise	10
Large Enterprise	53

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 SignalFx?

The most valuable feature is dashboard creation.

See all answers

What needs improvement with SignalFx?

Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...

See all answers

What is your primary use case for SignalFx?

The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...

See all answers

Comparisons

VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 22% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 18% of the time

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Compared 18% of the time

Splunk Enterprise Security vs AWS Auto Scaling

Compared 13% of the time

OpenText SiteScope vs AWS Auto Scaling

Compared 10% of the time

More AWS Auto Scaling Competitors

Avantra vs Splunk Observability Cloud

Compared 4% of the time

Kentik vs Splunk Observability Cloud

Compared 3% of the time

Datadog vs Splunk Observability Cloud

Compared 2% of the time

Observe vs Splunk Observability Cloud

Compared 2% of the time

Cribl vs Splunk Observability Cloud

Compared 2% of the time

More Splunk Observability Cloud Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

March 2026

Download AWS Auto Scaling product report

Buyer's Guide

Splunk Observability Cloud

March 2026

Download Splunk Observability Cloud product report

Also Known As

AWS Auto-Scaling

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

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)

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

Buyer's Guide

AWS Auto Scaling vs. Splunk Observability Cloud

March 2026

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