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AWS Auto Scaling vs Grafana comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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
5.4
Organizations using Grafana achieved up to 250% ROI, reduced costs, and improved monitoring and response times significantly.
I can say the estimated return on investment was one hundred fifty percent to two hundred fifty percent within the first year due to the reduced downtime and faster troubleshooting.
Devops Engineer at AIQOD
I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs.
System engineer at a retailer 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
7.2
Grafana's support receives mixed feedback, with praise for both its responsive technical team and effective community resources.
AWS support is very good.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
The technical support team is very helpful with complex PromQL troubleshooting.
System engineer at a retailer with 10,001+ employees
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
The documentation is comprehensive, and the active community makes it easy to find solutions to common issues.
Devops Engineer at AIQOD
 

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
5.5
Grafana scales effectively with integrations, but some users find complexity and scaling costs challenging for extensive environments.
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)
It is highly scalable and built on a big data architecture capable of ingesting trillions of data points.
System engineer at a retailer with 10,001+ employees
In terms of our company, the infrastructure is using two availability zones in AWS.
DevOps Team Lead at Kadabra
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
Sr. DevOps at a tech vendor with 1,001-5,000 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
7.9
Grafana is stable and reliable with minimal downtime, though resource optimization is key to maintaining performance and integration issues may occur.
Stable in the sense that we have experienced minimal downtime, and it performs reliably for day-to-day monitoring and dashboard visualization.
Devops Engineer at AIQOD
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
DevOps Team Lead at Kadabra
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
 

Room For Improvement

AWS Auto Scaling needs enhancements in speed, usability, pricing, scalability, security, flexibility, and simplicity for better user experience.
Grafana's usability suffers from complex UI, limited reporting, and integration challenges; enhancements in security, AI, and flexibility are needed.
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
It would be better if they made the technology easy to use without needing to read extensive documentation.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
BI and Analytics Engineer at Sandvine Inc
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
Director of Engineering at a insurance company with 10,001+ employees
 

Setup Cost

AWS Auto Scaling pricing varies widely, with costs ranging from high to reasonable based on usage and application needs.
Grafana's open-source is cost-effective, but enterprise edition pricing varies by usage and infrastructure, with cloud options available.
The pricing of Auto Scaling is medium range, neither high nor low.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
There were no licensing costs.
Devops Engineer at AIQOD
In an enterprise setting, pricing is reasonable, as many customers use it.
Aplication Architect at Amazon
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
DevOps Team Lead at Kadabra
 

Valuable Features

AWS Auto Scaling ensures efficient, flexible scaling with integration, minimal downtime, cost-effectiveness, and enhanced reliability for growing environments.
Grafana offers user-friendly dashboards, customizable visualizations, seamless integrations, effective alerts, scalability, and community support for enhanced monitoring.
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)
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
Aplication Architect at Amazon
The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.
System engineer at a retailer with 10,001+ employees
You can check those metrics in the incident management tool by filtering the alert source as Grafana, and it helps in reducing production incidents because you can acknowledge and visualize the metrics from Grafana on time.
Senior Site Reliability Engineer at a tech vendor with 501-1,000 employees
 

Categories and Ranking

AWS Auto Scaling
Ranking in Application Performance Monitoring (APM) and Observability
40th
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
22
Ranking in other categories
No ranking in other categories
Grafana
Ranking in Application Performance Monitoring (APM) and Observability
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 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 Grafana is 2.6%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Grafana2.6%
AWS Auto Scaling0.5%
Other96.9%
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.
Vitthal Gole - PeerSpot reviewer
Devops Engineer at AIQOD
Proactive monitoring has transformed how our teams detect issues and resolve incidents faster
For improving Grafana, the alert configuration could be more intuitive for new users. Dashboard management becomes complex in large environments. So if we have multiple environments and we have to manage our dashboards for them, sometimes it becomes complicated to manage all the dashboards. The learning curve is steep for beginners. More built-in reporting and analytics features would be helpful. Documentation for advanced features could be more detailed. Role-based access management could be simpler to configure. Performance could be optimized for very large dashboards with high cardinality data sources. Grafana could improve its alert configuration workflow and make advanced dashboard management easier for new users. More built-in reporting features would also be beneficial. A simpler onboarding experience for first-time users and more built-in dashboard templates for common monitoring scenarios would be helpful. Grafana is a powerful monitoring platform, but it could improve dashboard organization in large environments, simplify alert management, provide more built-in reporting capabilities, enhance plugin compatibility during upgrades, and offer better AI-driven insights for fast root cause analysis. For example, if we are hitting a CPU metric of ninety to ninety-five percent or a system load of seventy to eighty percent, we have to act on that. But if Grafana suggests something on that metric, such as an AI suggestion, it would be more helpful. We could get an idea of how to solve that issue. For the Grafana dashboards, they could provide more built-in compliance and audit reporting, enhance AI recommendations with clearer explanations of why an issue was flagged, enhance accessibility and keyboard navigation, add more native integrations with emerging cloud and DevOps tools, and improve scalability for very large enterprise deployments. Grafana is a mature platform, but it could benefit from better dashboard version control, simpler environment migration, enhanced AI explanations, more built-in reporting, and improved performance for large-scale deployments with complex dashboards.
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Top Industries

By visitors reading reviews
Construction Company
17%
Outsourcing Company
13%
Educational Organization
12%
Financial Services Firm
9%
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Comms Service Provider
7%
 

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 Business14
Midsize Enterprise10
Large Enterprise27
 

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 Grafana?
We are using the community edition. We have used the community edition, the open-source edition. So, there were no licensing costs. The setup was straightforward, and the main investment was the ti...
What needs improvement with Grafana?
For improving Grafana, the alert configuration could be more intuitive for new users. Dashboard management becomes complex in large environments. So if we have multiple environments and we have to ...
What is your primary use case for Grafana?
The main use case for Grafana is that we are using Prometheus to collect the metrics, and primarily use Grafana for infrastructure and application monitoring. It helps me visualize system metrics t...
 

Also Known As

AWS Auto-Scaling
No data available
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.
Find out what your peers are saying about AWS Auto Scaling vs. Grafana and other solutions. Updated: August 2026.
909,948 professionals have used our research since 2012.