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

Amazon Web Services (AWS) and Google are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.7, while Google is ranked #23 with an average rating of 10.0. Amazon Web Services (AWS) holds a 0.4% mindshare in APM, compared to Google’s 0.9% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

802 Views
754 Comparison Views

91% willing to recommend

Google Cloud's operations s...

Read 10 Google Cloud's operations suite (formerly Stackdriver) reviews

2,481 Views
1,861 Comparison Views

100% willing to recommend

AWS Auto Scaling

Google Cloud's operations s...

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Executive SummaryUpdated on Jul 24, 2024

Google Cloud's Operations Suite and AWS Auto Scaling compete in cloud management and scaling. Google Cloud's Operations Suite is favored for support and pricing, while AWS Auto Scaling stands out in feature richness and overall value.

Features: Google Cloud's Operations Suite is praised for logging, monitoring, and alerting capabilities. AWS Auto Scaling offers dynamic scaling, integration with other AWS services, and high flexibility.

Room for Improvement: Google Cloud's Operations Suite could benefit from enhanced automation and easier integration with non-Google services. AWS Auto Scaling needs better cost management tools, more intuitive configuration settings, and simplified scaling processes.

Ease of Deployment and Customer Service: Google Cloud's Operations Suite offers a straightforward deployment process and comprehensive customer support. AWS Auto Scaling requires in-depth technical knowledge, and its customer service is helpful but sometimes less accessible.

Pricing and ROI: Google Cloud's Operations Suite is generally cost-efficient with good ROI due to its pricing model and value-added features. AWS Auto Scaling is considered costly but promises substantial ROI for larger, dynamic workloads due to its extensive capabilities and scalability offerings.

To learn more, read our detailed AWS Auto Scaling vs. Google Cloud's operations suite (formerly Stackdriver) Report (Updated: December 2025).

Buyer's Guide

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

December 2025

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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

14th

Average Rating

8.8

Reviews Sentiment

6.0

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

23rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Log Management (24th), Cloud Monitoring Software (17th)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.4%, up from 0.1% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
AWS Auto Scaling	0.4%
Google Cloud's operations suite (formerly Stackdriver)	0.9%
Other	98.7%

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 helps us to reduce the cost."

"Our internal business applications are hosted in AWS Auto Scaling."

"I like the graphs provided by the tool."

"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."

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

"The solution's monitoring effectively monitors our application and CPU utilization."

"The setup is not very complex."

"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."

More AWS Auto Scaling pros

"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."

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

"Provides visibility into the performance uptime."

"It's easy to use."

"Offers a valuable logging transport feature"

"The cloud login enables us to get our logs from the different platforms that we currently use."

"I like the monitoring feature."

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

Cons

"The setup can be a bit complex in some situations."

"Setting up the configuration involves too much work for the cloud engineer."

"The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers."

"The product’s pricing needs improvement."

"The speed of the solution must be improved."

"The tool must include AI features."

"The solution must improve automation."

"AWS Auto Scaling's documentation could be better."

More AWS Auto Scaling cons

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

"It could be more stable."

"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."

"The process of logging analytics can be improved"

"It could be even more automated."

"Lacking sufficient operations documentation."

"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."

"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."

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

Pricing and Cost Advice

"AWS Auto Scaling is a cheap solution."

"AWS Auto Scaling's price is high."

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

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

"The product has moderate pricing."

"AWS Auto Scaling is an expensive solution."

"The product is expensive."

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

"The cost of using Stackdriver depends on usage."

"The cost could be lower."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

12%

University

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	8

Questions from the Community

What do you like most about AWS Auto Scaling?

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. W...

See all answers

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.

See all answers

What needs improvement with AWS Auto Scaling?

See all answers

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...

See all answers

What needs improvement with Google Stackdriver?

If the errors are caught early in the interface, it would be easier for users to manage. The process of logging analytics can be improved.

See all answers

What is your primary use case for Google Stackdriver?

I use the solution for logging, defining alerts, and monitoring. Our company's Java and Python logging teams mainly use it.

See all answers

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Compared 6% of the time

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Compared 5% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Download AWS Auto Scaling product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

January 2026

Google Cloud's operations suite (formerly Stackdriver) report

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

Also Known As

AWS Auto-Scaling

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

Overview

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Amazon Web Services (AWS)

Real-time log management and analysis

Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.

Built-in metrics observability at scale

Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.

Stand-alone managed service for running and scaling Prometheus

Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.

Monitor and improve your application's performance

Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.

Google

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Uber, Batterii, Q42, Dovetail Games

Buyer's Guide

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

December 2025

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

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