AWS Auto Scaling vs Coralogix comparison

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AWS Auto Scaling

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Executive SummaryUpdated on Jul 24, 2024

Coralogix and AWS Auto Scaling compete in the real-time log analytics and automated resource scaling category. Coralogix seems to have the upper hand in user support and cost-effectiveness, while AWS Auto Scaling is noted for its advanced features justifying the cost.

Features: Coralogix is praised for comprehensive log analysis, effective alerting capabilities, and focused data analytics features. AWS Auto Scaling is valued for seamless scalability, robust integration within the AWS ecosystem, and advanced automated resource scaling.

Room for Improvement: Coralogix users suggest enhancements in reporting functionalities, UI improvements, and refined analytics tools. AWS Auto Scaling users desire finer control over scaling policies, additional cost insights, and enhanced policy customization.

Ease of Deployment and Customer Service: Coralogix is commended for a straightforward setup process and responsive support. AWS Auto Scaling is appreciated for robust integration but criticized for complexity in deployment.

Pricing and ROI: Coralogix is considered cost-effective with a clear ROI from log analytics. AWS Auto Scaling users perceive higher costs but justify them with the efficiency gains from automated scaling.

To learn more, read our detailed AWS Auto Scaling vs. Coralogix Report (Updated: June 2026).

AWS Auto Scaling vs. Coralogix

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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

5.1

AWS Auto Scaling optimizes costs and availability, achieving up to 30% savings by right-sizing and reducing unused capacity.

Sentiment score

5.0

Coralogix improves system reliability and reduces downtime, saving time and money with easy cloud deployment and faster issue resolution.

No quotes available

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Previously one to two hours were required to resolve major issues. Now it takes around ten to twenty minutes, representing approximately a sixty to seventy percent reduction in resolution time.

Technical Solution Support Development Engineer at Ericsson Global

I have seen a return on investment with Coralogix, particularly in terms of time saved.

For more quotes and insights, download the Coralogix report

Presales Engineer at Crayon AS

I see a return on investment in time saving.

TusharGoel

Cloud Engineer at TO THE NEW Digital

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

7.3

Coralogix customer service excels in responsiveness and expertise, often surpassing competitor expectations in technical support and effective solutions.

AWS support is very good.

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AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

I am satisfied with their response time and overall competence.

reviewer2118417

Engineering Manager at a tech vendor with 51-200 employees

The support team has good technical knowledge and is able to understand log-related monitoring issues without much back and forth.

Technical Solution Support Development Engineer at Ericsson Global

They are helpful, especially when we created several custom dashboards.

For more quotes and insights, download the Coralogix report

SDE II at Nutanix

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

7.1

Coralogix efficiently scales in large environments, handling growth, log volumes, and microservices smoothly with cloud infrastructure integration.

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)

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As our system usage and log volume increased, Coralogix was able to handle the growth without requiring any major changes from our side.

Technical Solution Support Development Engineer at Ericsson Global

We have never faced any scalability issues.

SDE II at Nutanix

Handling scaling with Coralogix is good, as it is easy to scale up or down as my needs change.

For more quotes and insights, download the Coralogix report

Presales Engineer at Crayon AS

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

8.0

Coralogix is highly rated for stability and reliability, with occasional minor delays but no significant performance issues.

No quotes available

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There are no downtimes, no crashes, or any performance issues that I've noticed since we started using it.

reviewer2711856

Platform Engineer at a tech vendor with 51-200 employees

We use it continuously for monitoring and troubleshooting, and we have not faced any major stability issues that impacted our work significantly.

Technical Solution Support Development Engineer at Ericsson Global

High CPU usage on one pod can be averaged out by others, concealing potential issues.

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SDE II at Nutanix

Room For Improvement

AWS Auto Scaling needs enhancements in speed, usability, pricing, scalability, security, flexibility, and simplicity for better user experience.

Coralogix users seek better cost management, AI integration, simpler interfaces, dashboard customization, and improved support for various technical features.

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.

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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

Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers.

Technical Solution Support Development Engineer at Ericsson Global

We require some form of grouping or categorization of logs to identify them better.

For more quotes and insights, download the Coralogix report

SDE II at Nutanix

Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions.

reviewer2118417

Engineering Manager at a tech vendor with 51-200 employees

Setup Cost

AWS Auto Scaling pricing varies widely, with costs ranging from high to reasonable based on usage and application needs.

Coralogix offers flexible usage-based pricing with costs from $400-$5,000, emphasizing scalability and cost management for enterprises.

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

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

AWS Cloud at AeonX Digital Solutions Pvt. Ltd.

Despite the expense, I believe it is worth the money to have Coralogix as a tool.

SDE II at Nutanix

Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage.

reviewer2118417

Engineering Manager at a tech vendor with 51-200 employees

It is charged based on what we store.

For more quotes and insights, download the Coralogix report

Presales Engineer at Crayon AS

Valuable Features

AWS Auto Scaling ensures efficient, flexible scaling with integration, minimal downtime, cost-effectiveness, and enhanced reliability for growing environments.

Coralogix offers intuitive UI, real-time logging, AI insights, seamless integrations, and efficient log management for improved troubleshooting and visualization.

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

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

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)

I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible.

For more quotes and insights, download the Coralogix report

Presales Engineer at Crayon AS

Coralogix has positively impacted our organization by providing us with a clearer data flow, which allows us to analyze data better and find errors easier using the smart logs it offers.

Avi Cherny

Automation Engineer at a tech services company with 501-1,000 employees

Out of real-time analytics, cost-efficient storage, and AI-powered insights, the most valuable for my team has been the cost-efficient storage.

Nikhil Thapa

Software Developer

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

Ranking in other categories

No ranking in other categories

Coralogix

Ranking in Application Performance Monitoring (APM) and Observability

13th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Log Management (12th), Security Information and Event Management (SIEM) (13th), API Management (11th), Streaming Analytics (11th), Anomaly Detection Tools (2nd), AI Observability (8th)

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 Coralogix is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Coralogix	1.1%
AWS Auto Scaling	0.5%
Other	98.4%

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.

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Centralized monitoring has transformed telecom troubleshooting and now reduces downtime proactively

Technical Solution Support Development Engineer at Ericsson Global

Coralogix works well for our needs, but there are a few areas where improvements can be made. One area is querying performance for large-scale data sets. When we are dealing with very high log volumes, some complex queries take time to return results. Improving query speed and optimization would enhance the troubleshooting experience. Another point is the learning curve for advanced features. While basic usage is straightforward, advanced querying and dashboard configurations can take time for new users we are onboarding. We have faced this situation in our organization's domain frequently. More simplified UI options or guided templates would help new team members onboard faster. Additionally, dashboard customization flexibility needs improvement. Although dashboards are useful, having more flexibility in customization would make them even more powerful. An important point is cost optimization. Since log volume is high in our environment, better visibility and control over cost optimization would be beneficial. These are minor improvements overall. Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers. Improvements could include query performance, alert noise reduction, and ease of use for advanced features, especially for large-scale environments like ours.

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Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.

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Top Industries

By visitors reading reviews

Construction Company

16%

Educational Organization

11%

Financial Services Firm

10%

Comms Service Provider

Financial Services Firm

12%

Manufacturing Company

10%

Outsourcing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	7
Large Enterprise	11

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 Coralogix?

My experience with Coralogix pricing and licensing has been generally positive, especially considering the value it provides in terms of monitoring and troubleshooting. It follows a usage-based pri...

What needs improvement with Coralogix?

What is your primary use case for Coralogix?

In my organization, particularly in Ericsson's telecom BSS domain, the primary use case of Coralogix is centralized log management and real-time monitoring of telecom applications, such as the BSS ...

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Product Reports

Application Performance Monitoring (APM) and Observability

Download AWS Auto Scaling product report

Download Coralogix product report

Also Known As

AWS Auto-Scaling

No data available

Overview

AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.

AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.

What are the key features of AWS Auto Scaling?

Automatic Scaling: Adjusts resources based on real-time demand metrics.
CloudWatch Integration: Seamless monitoring integration for efficient resource management.
Target Tracking: Maintains desired performance levels by adjusting resources as needed.
Scheduled Scaling: Pre-configure adjustments based on expected demand changes.
Self-Healing: Automatically replaces unhealthy instances to ensure maximum uptime.

What benefits should users expect from AWS Auto Scaling?

Cost Efficiency: Reduces cost by adjusting resources based on fluctuating demand.
Reliable Performance: Ensures consistent performance even with varying traffic levels.
Minimal Downtime: Automatically adapts to traffic changes to keep services running smoothly.
User-Friendly Interface: Simple operation with intuitive controls and configurations.
Flexibility: Supports a range of AWS services, adapting to different use cases and demands.

In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.

Amazon Web Services (AWS)

Coralogix provides a robust platform for real-time logging and analysis, offering seamless integration with cloud services and DevOps tools to enhance visibility and error detection.

Coralogix is recognized for facilitating efficient log management through intuitive drill-down capabilities and AI-powered anomaly detection. Its platform supports smooth integration with multiple cloud providers and DevOps tools, focusing on ease of use and effective data migration. Users benefit from rich visualization options like dashboards and alerts that accelerate error detection and root cause analysis. Despite its strengths, there is a call for improvements in cost management, user-friendliness, and the expansion of AI features. Users are also requesting better customization, integrated modules, and support for processing large data volumes.

What are Coralogix's standout features?

Intuitive UI: Designed for seamless interaction and usability.
Real-Time Logging: Offers up-to-the-minute log analysis.
AI-Powered Anomaly Detection: Automatically identifies irregularities in data.
Drill-Down Capabilities: Deep dive into data for detailed insights.
Visualization Options: Dashboards and alerts enhance data interpretation.

What benefits should users expect from Coralogix?

Enhanced Visibility: Better insight into data and errors.
Speedy Error Detection: Quick identification and resolution of issues.
Efficient Integration: Smooth compatibility with cloud and DevOps tools.
Comprehensive Log Management: Facilitates effective data handling.
Improved Query Functionalities: Enables detailed analysis.

Industries utilize Coralogix for log monitoring and metrics analysis, aiding in debugging, error detection, and performance monitoring with tools like Grafana. Organizations manage cloud application logs, identify system failures, and conduct real-time root cause analysis. Coralogix supports secure data handling, enhancing infrastructure, and transaction management for efficient developer access and log analysis.

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Payoneer, AGS, Monday.com, Capgemini

AWS Auto Scaling vs. Coralogix