We performed a comparison between AWS Auto Scaling and Stackify based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load."
"The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively."
"AWS Auto Scaling is cost-effective and very useful for businesses."
"It helps us to reduce the cost."
"I like the graphs provided by the tool."
"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."
"The product provides self-healing features."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."
"The solution is stable and reliable."
"The performance dashboard and the accurate level of details are beneficial."
"The deployment is very fast."
"In comparison to other public clouds, the product is costly."
"It could be cheaper."
"The tool must include AI features."
"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."
"The product’s pricing needs improvement."
"It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance."
"The speed of the solution must be improved."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"I would like to be able to see metrics about individual running containers on the host machines."
"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."
"It should be easily scalable and configurable in different instances."
"The search feature could be improved."
AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 18 reviews while Stackify is ranked 43rd in Application Performance Monitoring (APM) and Observability with 6 reviews. AWS Auto Scaling is rated 8.8, while Stackify is rated 7.8. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, the top reviewer of Stackify writes "Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure". AWS Auto Scaling is most compared with Splunk Enterprise Security, whereas Stackify is most compared with New Relic, Dynatrace and AppDynamics. See our AWS Auto Scaling vs. Stackify report.
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