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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
4.8
Grafana improves data visualization, enhances operations, reduces AWS costs by 15%, and improves mean time to detect by 25%.
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
7.1
Grafana's efficient customer service and strong open-source community provide valuable support and resources for technical issues.
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
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
DevOps Team Lead at Kadabra
 

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
6.0
Grafana provides scalable solutions for visualization, though complexity and costs vary with deployment size and infrastructure 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)
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 minor issues; performance varies based on resource configuration and architectural factors.
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
Even when handling millions of data points, the visualization layer remains responsive.
System Engineer at a retailer with 10,001+ employees
 

Room For Improvement

AWS Auto Scaling needs enhancements in speed, usability, pricing, scalability, security, flexibility, and simplicity for better user experience.
Grafana users seek enhanced dashboard usability, AI features, integration ease, user interface, flexible licensing, and better security and compatibility.
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 provides flexible pricing, from a free version to paid tiers, appealing to varied enterprise needs and scalable deployments.
The pricing of Auto Scaling is medium range, neither high nor low.
AWS Cloud at AeonX Digital Solutions Pvt. Ltd.
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
I purchased my Grafana Cloud subscription through the AWS Marketplace, which simplified my procurement process and allowed me to apply the cost towards my AWS committed spend.
System Engineer at a retailer 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.
Grafana is praised for its customizable dashboards, integration, real-time monitoring, open-source nature, and broad community support.
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 Fareye
 

Categories and Ranking

AWS Auto Scaling
Ranking in Application Performance Monitoring (APM) and Observability
25th
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
6th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
49
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.1% compared to the previous year. The mindshare of Grafana is 2.7%, down from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Grafana2.7%
AWS Auto Scaling0.5%
Other96.8%
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.
BasilJiji - PeerSpot reviewer
System Engineer at a retailer with 10,001+ employees
Unified dashboards have empowered teams and have democratized real-time operational insights
Grafana's snapshot and dashboard sharing features are critical for our remote incident response. During production issues, I generate a public snapshot of a dashboard at a specific point and share the URL in our Slack war room so every engineer can see exactly what the metrics looked like when the error occurred. This helps significantly during the process of finding the root cause in those scenarios. The best features Grafana offers go beyond just pretty charts; it is an integration engine. 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. My team uses this feature by comparing two different tables from the databases to show one single view, which Grafana is really helping with. In a visualized way, the charts can be displayed on one dashboard, allowing end users who are not familiar with these technical aspects to extract valuable data from it. Grafana has positively impacted our organization by democratizing data within our company. Before using Grafana, only developers could see the system health, but now our product managers and executives have their own high-level dashboards, which has improved cross-departmental transparency and alignment.
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Top Industries

By visitors reading reviews
Construction Company
13%
Financial Services Firm
11%
Educational Organization
8%
Comms Service Provider
8%
Financial Services Firm
18%
Computer Software Company
10%
Manufacturing 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 Business13
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?
My experience with pricing, setup cost, and licensing is that it is very reasonable and has excellent community support.
What needs improvement with Grafana?
Currently, I do not think that any improvement is required, but there are multiple use cases.
What is your primary use case for Grafana?
My main use case for Grafana is to create and design dashboards based on the metrics provided by different exporters via Prometheus. We have different exporters, and we are creating different dashb...
 

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: April 2026.
894,738 professionals have used our research since 2012.