AppDynamics vs Foglight

• Giving a network map of our application that shows where slowdowns are occurring and where network traffic is running into a bottleneck.
• We are able to gather node-specific information that shows the number of sessions a web server or even Redis session statistics.
• We use AppDynamics to give a holistic view of our application allowing us to quickly narrow in on problems.

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• Foglight NMS is very light on resources given the amount of monitoring connectivity options it provides. It is one of the few that I've trialed in the past that offers SNMP v3 connections.
• The dashboard is concise with the main areas of interest. It can be customized as well if you have a particular use case.
• Setting up alerts is straightforward with the ability to set custom thresholds. Alert emails get sent by configuring a primary mail server with the option to add a backup mail server in the event of a primary mail server outage or connectivity issues.

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• Price of the AppDynamics is high. But it has many valuable features. This makes it difficult for small businesses to enter.
• Functionality is overkill for most small to midsize businesses (SMBs). When stacking up product units, it can get pricey for enterprises as well.
• With fine granular configs and customizations available, it will also mean that it is very complicated and requires a certain amount of knowledge before we can make full use of all features in the product. Much careful thought and planning is required to get the most of it. Set-up will be longer. One recommendation is for features to be better documented.

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• There are not many problems with this product
• Limited ability to use Foglight itself to solve problems it identifies

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• AppDynamics isn't cheap, but it definitely helps to ensure our applications and APIs are up and running without issue. The alerting is usually good but occasionally mixed, for example sometimes flagging a single error as a critical issue since the API is usually completely error free.
• The cost saving in terms of trouble shooting and analyzing issues in production is fantastic - to know about issues before they are reported by customers enables you to be proactive in resolving them and ensuring maximum up time for our applications.

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• For the past 5 years, we heavily leveraged their application synthetic capabilities which caught several outages to our online presence before our users did or as they did, saving us valuable time and money to get back up and running.
• Their ability to deep dive into databases has helped the rollout of our new software, speeding up the time to market. We have been able to identify problems with our code in the staging and development tiers, ensuring we release better, more stable software to our customers.

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