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AWS Auto Scaling vs Cribl comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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
5.1
AWS Auto Scaling optimizes costs and availability, achieving up to 30% savings by right-sizing and reducing unused capacity.
Sentiment score
5.1
Cribl reduces log ingestion costs by 30%-60%, optimizing efficiency and ROI through competitive pricing and streamlined processes.
What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl.
Senior Security Engineer at a university with 10,001+ employees
The second thing is that data aggregation, sampling, and reduction that we're able to do of the data, lowering our overall data volume, both traversing the network as well as what's being stored inside of our final solutions.
Director, Performance Engineering at a tech services company with 10,001+ employees
In terms of reduction, we were able to save almost ~40% of our total cost.
Sr. Lead Security Engineer at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
5.3
AWS Auto Scaling offers responsive, helpful support with high user ratings, though some desire faster response times.
Sentiment score
6.4
Cribl's technical support is praised for its expertise and accessibility, though some users note issues with complex problem handling.
AWS support is very good.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
They had extensive expertise with the product and were able to facilitate everything we needed.
Security Consultant at Integrity360
Usually, within an hour, we get a response, and we are able to work with them back and forth until we resolve the issues.
Engineering Fellow at Pegasystems
Sometimes by hearing the problem itself, they will know what the solution is, and they will let us know how to resolve it, and we do it immediately.
Senior Specialist at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
7.9
AWS Auto Scaling is praised for seamless scalability, ease of integration, and handling diverse needs during high traffic.
Sentiment score
6.7
Cribl is highly scalable and efficiently handles large log volumes, making it suitable for various business needs.
Scalability is impressive, as it allowed us to go from 1,000 to 10,000 active users within a week during a traffic spike.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
The infrastructure behind Cribl Search is also scalable as it uses a CPU and just spawns horizontally more instances as it demands and requires.
Engineering Fellow at Pegasystems
Compared to other SIEM tools I use, any slight change on the operating system end impacts a lot on our SIEM tools and other things, but Cribl performs well in that regard.
Senior Software Engineer at a retailer with 1,001-5,000 employees
Cribl performs effectively across both market segments.
Principal at a hospitality company with 10,001+ employees
 

Stability Issues

Sentiment score
6.8
AWS Auto Scaling is reliable with minor issues, earning stability ratings mostly between nine and ten out of ten.
Sentiment score
7.3
Cribl is highly stable with minimal issues; reliable performance often cited, with support mitigating occasional downtime and bug-related challenges.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
Sr. Lead Security Engineer at a tech vendor with 10,001+ employees
Regarding scalability, we started with zero servers and have around 285 servers now.
Senior Specialist at a tech vendor with 10,001+ employees
Cribl is designed to deal with certain kinds of loads and is not designed to handle any scenario in the market.
Security Delivery Senior Analyst at Accenture
 

Room For Improvement

AWS Auto Scaling needs enhancements in speed, usability, pricing, scalability, security, flexibility, and simplicity for better user experience.
Cribl faces performance, documentation, UI complexity, cost concerns, and scalability issues with desired enhancements in integrations, templates, and automation.
This complexity led me to migrate to CloudFormation, which simplifies the deployment process.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
It requires a downtime before deploying the Auto Scaling group.
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.
DevOps Engineer Intern at HNG Tech
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
Manager for Monitoring and Logging at Velera
When passing query logs or DNS logs, if certain malicious query patterns need to be identified or if fast-flux attacks are happening, Cribl can report that and those would definitely be a plus for them.
Product Manager at UnDisclosed
I would advise others looking to implement Cribl that if they are evolving Cribl Search, it would be very interesting to see more capability, more flexibility, and more ways to share the data similar to Splunk.
Senior Manager at Deloitte
 

Setup Cost

AWS Auto Scaling pricing varies widely, with costs ranging from high to reasonable based on usage and application needs.
Cribl is seen as cost-effective, with competitive pricing providing value, especially for data-intensive enterprises amid evolving costs.
The pricing of Auto Scaling is medium range, neither high nor low.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
Over time, the licensing cost has increased.
SIEM Engineer at National Australia Bank (NAB)
It was cheaper than the Splunk license.
Security Engineering Programme Manager at a government with 1,001-5,000 employees
Splunk is more expensive, and Cribl appears to be more affordable.
Principal at a hospitality company with 10,001+ employees
 

Valuable Features

AWS Auto Scaling ensures efficient, flexible scaling with integration, minimal downtime, cost-effectiveness, and enhanced reliability for growing environments.
Cribl offers an intuitive UI, data efficiency, and flexible integration, improving log processing and cost management for all users.
During peak traffic times, the Auto Scaling group can be deployed to ensure that the client works well, and the traffic remains average.
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.
DevOps Engineer Intern at HNG Tech
Its automatic scaling capabilities are very useful.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
The data reduction and preprocessing capabilities make Cribl really unique.
Security Consultant at Integrity360
Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events.
Security Engineer at Tecplix
The Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after.
Senior Security Engineer at a university with 10,001+ employees
 

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
22
Ranking in other categories
No ranking in other categories
Cribl
Ranking in Application Performance Monitoring (APM) and Observability
6th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
64
Ranking in other categories
Log Management (3rd), Security Information and Event Management (SIEM) (6th), Observability Pipeline Software (1st)
 

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 Cribl is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Cribl1.2%
AWS Auto Scaling0.5%
Other98.3%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Ishaka Michael Efe - PeerSpot reviewer
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.
Aman Verma - PeerSpot reviewer
Senior Software Engineer at a retailer with 1,001-5,000 employees
Has helped reduce daily log volume significantly and streamline data routing across multiple destinations
Regarding complexity, as I mentioned before, Cribl is very simple to use. When I started 2.5 years ago, it was very easy to learn. I learned Cribl within a week, and even though I was a fresher at the time, it was easy to understand and not complex enough that someone would need to spend money on labs. It's not that complex to learn. Regarding cost efficiency, it's very good because nowadays the SIEM tools we use are too expensive on license, and SIEM tools base their license on how many logs get ingested. The unwanted logs, particularly firewall logs, represent a significant portion of unnecessary ingestion. Cribl saves our license by filtering out half of the firewall logs that are unwanted. Our main purpose for using Cribl is to save our license and save money. Currently, everyone is moving toward AI agents. We currently use regex, and AI agents could help us create those regex patterns to drop events or add raw data to events. Currently, we sit down, review the logs, and create regex patterns manually, which can be time-consuming. An AI agent could reduce this time. I read some articles indicating that Cribl Cloud has started using AI and considering MCPs and model context, but I'm not certain how far along they are. If Cribl asked me what they could improve, that would be my suggestion. The support is very good, and I had a few issues with Cribl where I raised support cases and received good responses, which is better than the quick response I didn't get from other SIEM tools and vendor tools I use. Compared to other SIEM tools, Cribl is cheaper than Splunk and DataDogs. However, it's still a bit expensive from my point of view, though I won't call it expensive. Overall, I think 99% of companies use Cribl before their SIEM tools, and compared to SIEM tools, Cribl is cheaper. Companies can use any SIEM tool such as Google, Splunk, or Cisco, and Cribl is cheaper than those SIEM tools. They might have a slight chance to reduce costs further, but I'm not the correct person to evaluate that since I'm more focused on the operational side. Regarding training, it was quite easy to grasp. It took me almost a week to understand the basic functionalities and what Cribl does. Getting more expertise took additional time, but basic functionalities and understanding what Cribl does took around four to five days. One point I want to mention is that Cribl could improve their labs or training materials in their Cribl Cloud or whatever portal they have.
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Top Industries

By visitors reading reviews
Construction Company
16%
Educational Organization
11%
Financial Services Firm
10%
Comms Service Provider
8%
Financial Services Firm
19%
Manufacturing Company
12%
Healthcare Company
6%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise2
Large Enterprise12
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise8
Large Enterprise34
 

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 is your experience regarding pricing and costs for Cribl?
I find the pricing of Cribl to be cost-efficient because it has helped us save costs for data storage by removing unwanted logs.
What needs improvement with Cribl?
One improvement Cribl could work on is Cribl's Git integration. If I want to integrate my private repository, I can do this, but there is a specific format required in Git. If I commit something to...
What is your primary use case for Cribl?
We started using Cribl one year ago for data optimization. Currently, we are using Cribl for its one terabyte ingestion that is free, which is one significant advantage. We are using it for that pu...
 

Comparisons

 

Also Known As

AWS Auto-Scaling
No data available
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Information Not Available
Find out what your peers are saying about AWS Auto Scaling vs. Cribl and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.