AppDynamics vs. Foglight

Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.

Strengths [Foglight]

• Monitoring, Alerting and Management of on-prem virtualization and physical servers
• Historical trending and baselining are excellent and being able to compare a problem period against the same sets of data for a period when there was no issue is especially helpful as part of troubleshooting.
• Ease of use for end users is appreciated

Weaknesses [of Foglight]

• Creation and management of custom monitors is a developer level activity requiring Groovy skillset
• Less useful for management of an environment where there is a large amount of custom implementations
• Commitment to longevity of cartridges/packs for specific subsystems
• Ability to create custom schedules/alerts/escalations is only available via a 3rd party product (from a former Quest developer) and is not particularly easy to manage/manipulate
• Lack of API accessibility for external integrations to other analytics (splunk, etc.)

Incentivized

• AppDynamics delves deeply into traceability and profiling at the code level. By identifying and refactoring any hidden performance hogs in our code, we can directly observe the performance improvements.
• AppDynamics provides real-time dashboards and in-depth insights into each layer of the application stack, lifting the curtain on performance.
• AppDynamics gives us the ability to proactively detect and resolve performance issues. We are able to keep things running smoothly for our users and stop outages.
• We can monitor stability and performance prior to, during, and following releases with AppDynamics, which helps to minimize regression risks and facilitate smooth rollouts.

Incentivized

• Database monitoring
• Database management suite
• Customization (both monitors and dashboards)

Incentivized

• Improving the clarity and comprehensiveness of the documentation could benefit users. Clearer documentation ensures that users can make the most of all the functionalities
• Leverages AI and machine learning for intelligent insights, aiding in issue identification and prediction.
• Competitive, with AI-driven features becoming increasingly common in APM solutions.

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

Incentivized

its working for us, we are familiar and comfortable with the tool and its proven valuable/indispensable in helping evaluate our code.

Incentivized

AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.

Incentivized

It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.

Incentivized

• AppDynamics has played a pivotal role in optimizing our applications for a seamless user experience. The proactive monitoring and quick issue resolution have translated into improved user satisfaction and increased retention rates.
• The initial cost and effort associated with implementing AppDynamics might be considered a negative impact, particularly for organizations with budget constraints. However, the long-term benefits have justified this initial investment.

• Foglight has a positive impact on my company by being a complete monitoring platform that specializes in risk assessment, user diagnosis and management, and server monitoring ensuring a secure business infrastructure through predictive analytics, query analysis, anomaly detection, behavior tracking, troubleshooting, automated discovery, and more.

Incentivized