Foglight is a database performance management suite from Quest, with modules to perform cloud analytics, network performance monitoring and virtualization management, scaling to a broad, cloud / virtualization focused IT infrastructure monitoring solution.
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Splunk AppDynamics
Score 8.2 out of 10
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AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
We selected Foglight almost 6 years ago for its advancements in the APM space, moving toward a single pane of glass and their SaaS development. They have since abandoned the APM and SaaS offerings to focus solely on Database and Compute monitoring. This is why we are migrating …
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.)
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.
Business Transaction Monitoring is one of its signature strengths. This represents a major differentiator from generic infrastructure monitoring tools.
AI‑driven anomaly detection and intelligent alerting provide a significant advantage over traditional monitoring.
When combined with Splunk AppDynamics, full‑stack observability becomes a key part of Cisco/Splunk’s unified observability strategy.
AppDynamics may enhance its capacity to track transactions through complex distributed systems and microservices, offering a more comprehensive understanding of application behavior.
Better search and filtering capabilities would enable engineers to quickly obtain deeper context by drilling down into individual data points.
AppDynamics might be more widely available to engineers and organizations if it offered subscription plans or tiered pricing options.
On a scale of 1 to 10, I would rate our likelihood to renew Splunk AppDynamics as a 10. Our leadership is fully committed to the State of Indiana’s Application Performance Monitoring (APM) Program, which has become a national leader within the SLED (State, Local, and Education) vertical. AppDynamics plays a critical role in our ability to deliver reliable, high-performing digital services to citizens and stakeholders. Its capabilities align closely with our strategic goals around operational excellence, proactive incident management, and data-driven decision-making, making it an indispensable part of our technology ecosystem.
Since I'm a regular user of appD and have been using it for the last 3 years, I believe it does pretty well for what it's designed to do. It works well for monitoring and tracking issues, working on load testing - checking traffic, request failure, and improving, so overall I'm satisfied, and it really helped a lot to improve our application overall, so happy to review and rate it.
On a scale of 1 to 10, I would rate the availability of Splunk AppDynamics as a 9. Overall, the platform has proven to be highly reliable and is available when we need it. It consistently supports our monitoring and performance management needs across critical applications and infrastructure. There have been occasional issues with platform availability, such as intermittent application errors or brief unplanned outages. However, these instances have been infrequent and typically resolved quickly, minimizing any significant impact on operations. The stability and uptime of the platform have met our expectations, and we continue to rely on it as a core component of our APM strategy.
On a scale of 1 to 10, I would rate the performance of Splunk AppDynamics as a 6. While the platform generally delivers the expected functionality, we’ve experienced periodic slowness—particularly with page loads and report generation. These performance issues can be frustrating, especially when trying to quickly access critical data during incident response or analysis. One contributing factor may be our use of a shared controller environment with other enterprises, which can introduce resource contention and impact overall responsiveness. In some cases, this has led to delays in accessing dashboards or completing complex queries. Despite these challenges, the platform remains a valuable tool, and we’re exploring options to improve performance, including potential changes to our deployment model and support agreements.
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.
On a scale of 1 to 10, I would rate the online training for Splunk AppDynamics as a 7. The training was generally acceptable and covered the core concepts and functionality of the platform. However, there were some challenges with communication during sessions—particularly around clarity and instructor engagement—which occasionally made it difficult to fully grasp certain topics. Additionally, the training could benefit from being more focused and tailored to specific roles or use cases. A more structured approach with clearer learning paths and practical, hands-on examples would enhance the overall effectiveness and help users apply the knowledge more confidently in real-world scenarios.
On a scale of 1 to 10, I would rate our satisfaction with the implementation of Splunk AppDynamics as a 9. The deployment process was smooth and well-coordinated, thanks to the collaborative efforts between Cisco Professional Services, our internal business stakeholders, and agency technical teams. Key Insights from the Implementation: Cross-functional Collaboration Was Critical: Engaging both technical and business teams early in the process ensured that the platform was configured to meet a wide range of operational and strategic needs. Value of Expert Guidance: Cisco’s Professional Services provided invaluable expertise, helping us navigate complex configurations and tailor the solution to our environment. Their involvement accelerated deployment and ensured best practices were followed. Importance of Planning and Communication: A well-defined implementation roadmap and regular communication across teams helped us stay aligned, manage expectations, and address challenges proactively. Scalable Architecture: We designed the implementation with scalability in mind, allowing us to expand usage across agencies and applications without major rework. Overall, the implementation laid a strong foundation for our APM program and positioned us for long-term success.
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.
While the overall value of the Splunk AppDynamics platforms is strong, the pricing structure and contract terms can be complex and difficult to navigate. Unit pricing, licensing tiers, and billing frequency are not always intuitive, which can make it challenging to align purchases with the State’s evolving needs. I rely heavily on our Account Manager to help interpret and tailor the licensing model to our specific requirements. Their support has been invaluable in ensuring we make informed decisions. The most impactful change would be to simplify the licensing and pricing model. Clearer documentation, more transparent pricing tiers, and streamlined purchasing processes would significantly improve the experience and reduce administrative overhead.
On a scale of 1 to 10, I would rate the overall scalability of Splunk AppDynamics as a 7. The platform is designed to support enterprise-wide deployments across multiple departments and sites, and it performs well in large-scale environments. Its architecture allows for horizontal scaling and supports a wide range of application types and infrastructures. However, the agent management and deployment process can be complex and time-consuming, especially when onboarding a large number of applications or systems. Coordinating agent installation, configuration, and updates across diverse environments requires careful planning and often significant manual effort. Streamlining these processes—perhaps through more centralized management tools or automation—would enhance scalability and reduce operational overhead. Despite these challenges, once deployed, AppDynamics scales effectively and provides consistent performance and visibility across the enterprise.
Our experience with the professional services team supporting Splunk AppDynamics has been exceptional. They demonstrated deep technical expertise, strong collaboration skills, and a clear understanding of our business objectives. Their guidance was instrumental in the successful implementation of our APM program and platform integration. The rating of 9 reflects our high level of satisfaction, with a small margin left to acknowledge that continuous improvement is always possible. Overall, their support has been a key factor in the success of our deployment.
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.
Through the identification of performance bottlenecks and efficient resource allocation, AppDynamics has contributed to cost savings and resource optimization. This has a direct positive impact on our overall return on investment.
While AppDynamics' numerous capabilities help maximize efficiency, they may place a strain on your system. Organizations with limited infrastructure capacity may have difficulties and therefore give this serious thought before implementing it.
