AWS Auto Scaling vs Google Cloud&#39;s operations suite (formerly Stackdriver) comparison

AWS Auto Scaling vs. Google Cloud's operations suite (formerly Stackdriver)

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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:

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

Google Cloud's operations s...

Ranking in Application Performance Monitoring (APM) and Observability

26th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Log Management (24th), Cloud Monitoring Software (16th)

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 Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Google Cloud's operations suite (formerly Stackdriver)	0.9%
AWS Auto Scaling	0.5%
Other	98.6%

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

Anand_Patel

Senior Technical Architect at T-Systems International GmbH

Offers reliable Ops Agent and logging transport feature with easy third-party integrations

As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or Big Query can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings. It has default integration for all gcp services. recently managed Prometheus support gives more flexibility to organizations to remain connected with their current Prometheus setup. We leveraged integrated FinOps Hub for recommendations for our workloads and server configurations, helpd us lot in order to get maximum TCO.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."

"The setup is not very complex."

"AWS Auto Scaling is cost-effective and very useful for businesses."

"Once we moved them to AWS and created the appropriate architecture, it solved the problem."

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."

"It helps us to reduce the cost."

"The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails."

"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. When it reaches seventy percent, it sends me an email notification."

More AWS Auto Scaling pros

"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."

"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."

"It's easy to use."

"It has reduced the amount of time that we would take for troubleshooting."

"It has really been helpful in detecting, identifying, and troubleshooting issues with cloud services used in the organization."

"We find the solution to be stable."

"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."

"Google's technical support is very good."

More Google Cloud's operations suite (formerly Stackdriver) pros

Cons

"The billing and cost optimization of the solution could be improved."

"The solution must improve automation."

"There hasn't been a need for improvements."

"The speed of the solution must be improved."

"It could be cheaper."

"The product could add more features for managing instances."

"The solution's infrastructure scalability and elasticity could be improved."

"It requires a downtime before deploying the Auto Scaling group."

More AWS Auto Scaling cons

"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it."

"Operations documentation could be a bit better. It took us some time to get up and running with it."

"Lacking sufficient operations documentation."

"It is difficult to estimate in advance how much something is going to cost."

"The product provides minimal metrics that are insufficient."

"The logging functionality could be better."

"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."

"The process of logging analytics can be improved"

More Google Cloud's operations suite (formerly Stackdriver) cons

Pricing and Cost Advice

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is a cheap solution."

"The product has moderate pricing."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"The product is expensive."

"The pricing is good. I have not had any customers that have complained about the price."

"AWS Auto Scaling is an expensive solution."

"We have a basic standard license without any additional costs."

"The cost could be lower."

"The cost of using Stackdriver depends on usage."

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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

13%

Construction Company

10%

Comms Service Provider

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	2
Midsize Enterprise	1
Large Enterprise	9

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 Google Stackdriver?

As Ops Suite, is a google product which effectively comes at zero setup cost, in order to manage your on-premises logs on onsite, it involves negligible cost for using ops agent and it also include...

Splunk ITSI (IT Service Intelligence) vs AWS Auto Scaling

Comparisons

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VMware Aria Operations for Applications vs AWS Auto Scaling

Compared 12% of the time

Akamai mPulse vs AWS Auto Scaling

Compared 9% of the time

Snyk vs AWS Auto Scaling

Compared 7% of the time

Alluvio AppResponse vs AWS Auto Scaling

Compared 6% of the time

More AWS Auto Scaling Competitors

Datadog vs Google Cloud's operations suite (formerly Stackdriver)

Compared 8% of the time

AWS X-Ray vs Google Cloud's operations suite (formerly Stackdriver)

Compared 7% of the time

Amazon CloudWatch vs Google Cloud's operations suite (formerly Stackdriver)

Compared 6% of the time

Splunk AppDynamics vs Google Cloud's operations suite (formerly Stackdriver)

Compared 5% of the time

New Relic vs Google Cloud's operations suite (formerly Stackdriver)

Compared 4% of the time

More Google Cloud's operations suite (formerly Stackdriver) Competitors

Product Reports

Application Performance Monitoring (APM) and Observability

Download AWS Auto Scaling product report

Application Performance Monitoring (APM) and Observability

Download Google Cloud's operations suite (formerly Stackdriver) product report

Google Cloud's operations suite (formerly Stackdriver) report

Also Known As

AWS Auto-Scaling

Google Stackdriver, Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring

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)

Google Cloud's operations suite is a comprehensive toolset offering multi-cloud support, insights into performance, uptime, health, and scalable logging for seamless cloud operations.

This suite by Google Cloud provides robust features for organizations managing workloads on GCP and AWS. It offers real-time logging and monitoring, aiding in efficient troubleshooting and performance analysis. With automatic monitoring, statistical insights for Kubernetes and VPNs, and the ability to manage logs, it helps in optimizing technology changes and supports risk management. Despite needs for better APM, cost clarity, migration tools, and enhanced documentation, companies benefit from its capabilities in tracking errors and analyzing metrics in execution environments.

What are the key features of Google Cloud's operations suite?

Multi-cloud Integration: Seamless support for GCP and AWS environments.
Performance Visibility: Insights into system health and uptime.
Scalable Logging: Efficient log management and export capabilities.
User-friendly Interface: Intuitive interaction for easy monitoring configuration.

What benefits and ROI can be expected from Google Cloud's operations suite?

Enhanced Monitoring: Real-time updates facilitate swift response to performance issues.
Efficient Troubleshooting: Detailed log analysis helps resolve code issues quickly.
Performance Analysis: Dashboards support engineering load testing and SLA monitoring.

Industries utilizing Google Cloud's operations suite find it invaluable for optimizing cloud operations, especially in sectors involving extensive database requests and workload execution. Java and Python teams leverage its logging and alert capabilities for improved error tracking and metrics analysis, crucial for maintaining high-performance standards in tech-driven environments.

Google

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Uber, Batterii, Q42, Dovetail Games

AWS Auto Scaling vs. Google Cloud's operations suite (formerly Stackdriver)