AWS Auto Scaling vs CA App Synthetic Monitor comparison

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Amazon Web Services (AWS) Logo
299 views|223 comparisons
90% willing to recommend
Broadcom Logo
414 views|273 comparisons
66% willing to recommend
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Executive Summary

We performed a comparison between AWS Auto Scaling and CA App Synthetic Monitor based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability.
To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "The pricing is good. I have not had any customers that have complained about the price."
  • "AWS Auto Scaling's price is high."
  • "The product has moderate pricing."
  • "The product is expensive."
  • "AWS Auto Scaling is a cheap solution."
  • "AWS Auto Scaling is an expensive solution."
  • "AWS Auto Scaling is a pay-per-use and pay-as-you-use service."
  • More AWS Auto Scaling Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The various scaling options available, such as step scaling, are particularly useful.
    Top Answer:While I haven't found any significant need for improvement in AWS Auto Scaling, the setup can be a bit complex in some situations.
    Top Answer:The product comes with expensive annual licenses. The product is very good, very reliable but it costs a lot. Barracuda offers the same kind of services at a lower price.
    Top Answer:If you are responsible for monitoring the logs in F5, it isn't very easy. The format is complicated compared to different vendors. For example, Fortinet and Cisco have feasible formats for sending and… more »
    Top Answer:If you are sending mail or browsing anything, you don't want to send your traffic without encryption. We use SSL for traffic encryption and ASM for SSL offloading. It is a proxy server for SSL. The… more »
    Ranking
    Views
    299
    Comparisons
    223
    Reviews
    9
    Average Words per Review
    297
    Rating
    8.6
    Views
    414
    Comparisons
    273
    Reviews
    1
    Average Words per Review
    468
    Rating
    8.0
    Comparisons
    Also Known As
    AWS Auto-Scaling
    CA ASM
    Learn More
    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.

    IT organizations require full visibility into business-critical applications regardless of where they're hosted in order to maintain service levels and proactively deal with issues before the end-user is impacted. CA App Synthetic Monitor uses synthetic transactions to provide performance insight for these applications no matter where they're hosted: outside the firewall, in the cloud or delivered via a managed service provider (MSP). Delivered as software as a service, CA App Synthetic Monitor provides end-to-end transaction response time visibility into cloud, mobile and traditional web applications using synthetic transactions delivered by a network of 95 monitoring stations across six continents, 48 countries, 93 cities and 15 time zones.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Lexmark
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Non Tech Company18%
    Retailer9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Government14%
    Computer Software Company13%
    Manufacturing Company13%
    No Data Available
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise4%
    Large Enterprise77%
    No Data Available
    Buyer's Guide
    Application Performance Monitoring (APM) and Observability
    April 2024
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 18 reviews while CA App Synthetic Monitor is ranked 46th in Application Performance Monitoring (APM) and Observability with 3 reviews. AWS Auto Scaling is rated 8.8, while CA App Synthetic Monitor is rated 7.0. 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 CA App Synthetic Monitor writes "A reliable solution for SSL offloading and to encrypt outside traffic". AWS Auto Scaling is most compared with Splunk Enterprise Security, whereas CA App Synthetic Monitor is most compared with AppDynamics and Azure Monitor.

    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.