We performed a comparison between AWS Auto Scaling and Catchpoint 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."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."
"It can scale."
"The solution helps optimize the cost of the AWS environment."
"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."
"Our internal business applications are hosted in AWS Auto Scaling."
"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."
"The product provides self-healing features."
"When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements."
"The drill-down feature of this product was very good. It allowed us to identify the exact page or area of the site that was causing our customers an issue."
"We really need the API monitoring, as well as client side session monitoring, the global synthetic monitoring, to track the availability of the systems from the customer side."
"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."
"Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn."
"Catchpoint provides a great amount of information."
"The best feature in Catchpoint is the alert or the notification my company gets frequently, in particular, every five minutes. It's the notification you get whenever a respective market has an issue. There's also a dashboard in Catchpoint that shows the markets you support, so all the markets will be highlighted graphically in the dashboard whenever there's downtime that could affect you. If there's no issue for a specific market, it will be in green, so in this way, anybody would be able to understand which market has issues and which market has no issues through Catchpoint. The tool is very useful for monitoring activities."
"Catchpoint's customer service and support are valuable."
"Catchpoint helped us establish that something is in a provider network, so we could tell our customers to check their internet provider because the traffic is not getting to us. You need to be gentle when you tell them that, but the fact that we could do it was crucial."
"The solution must improve automation."
"The billing and cost optimization of the solution could be improved."
"The tool must include AI features."
"Flexibility in configuring the workload is missing in AWS Auto Scaling."
"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 could add more features for managing instances."
"The tool's stability could be improved."
"It could be cheaper."
"There's still too much manual involvement in getting customized test configurations out there. It's good, but it still takes a lot of effort. In other words, it's when you need to configure it to collect a specific variable and that kind of thing."
"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."
"The old user version was better, it was more user-friendly."
"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"Catchpoint can be improved by focusing solely on network monitoring."
"We would like the script creation feature of this solution to be improved, as it currently requires a complicated manual process to update the scripts."
"Trending needs improvement. Currently, out-of-the-box, they provide only seven days availability. So, we have to do queries and we have to go into a separate analysis module, we have to run lot of queries to long-term trends."
"if we need to do performance analysis, we have to click too many times. For example, if there is an issue that is caught by Catchpoint, we need to understand what the error is and at which step it failed, or which transaction that is impacted. To drill down, we have to click too many things to get the answer."
AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 18 reviews while Catchpoint is ranked 18th in Application Performance Monitoring (APM) and Observability with 12 reviews. AWS Auto Scaling is rated 8.8, while Catchpoint is rated 8.2. 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 Catchpoint writes "The UI is well designed, so it's easy to get the visibility you want". AWS Auto Scaling is most compared with Splunk Enterprise Security, whereas Catchpoint is most compared with Dynatrace, ThousandEyes, Datadog, Splunk Enterprise Security and Selenium HQ. See our AWS Auto Scaling vs. Catchpoint report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
