

Splunk AppDynamics and Nagios Core are prominent players in the application and infrastructure monitoring domain. While Splunk AppDynamics appears to have the upper hand with its advanced analytics and comprehensive application monitoring capabilities, Nagios Core excels with its customizable open-source solution and cost-effectiveness.
Features: Splunk AppDynamics provides valuable features such as detailed JVM metrics, transactional awareness, and stack trace visibility. It offers business transaction tracking and advanced application monitoring across various environments. Nagios Core is appreciated for its flexibility and low cost, offering extensive plugin support for customized monitoring and infrastructure reliability.
Room for Improvement: AppDynamics could enhance its UI for simplicity and improve integration with emerging technologies like cloud services. Its complex licensing can also be addressed. Nagios Core needs a more user-friendly configuration interface, better scalability, and enhanced analytics to match its competitors.
Ease of Deployment and Customer Service: Splunk AppDynamics provides various deployment models, including public and hybrid clouds, and offers robust customer service with quick technical support. Nagios Core is typically deployed on-premises, requiring skilled setup and relying more on community support due to its open-source nature.
Pricing and ROI: Splunk AppDynamics is recognized for its high cost and complex licensing, often justified by the ROI gained through improved performance and time savings. Nagios Core offers a no-cost entry, making it ideal for those seeking a budget-friendly solution without compromising basic monitoring capabilities.
Overall, as a production gatekeeper, we achieve at least 50% efficiency immediately, with potential savings ranging from 60 to 70% as well, reinforcing why it is a popular tool in the banking industry.
According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
To understand the magnitude of it, when the company asked to replace Splunk AppDynamics with another tool, I indicated that for the proposed tool, we would need five people to do the analysis that Splunk AppDynamics enables me to do.
AppDynamics is much more helpful.
We got a contact, an account manager, to work directly with for technical support.
They help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues.
The solution is scalable.
We have reached maximum capacity in our tier, and extending capacity has not been cost-effective from Splunk's perspective.
I would rate the scalability of Splunk AppDynamics as a nine out of ten.
I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers.
I tried many other solutions at work, however, in terms of Nagios, I haven't seen any disruption or downtime.
It is necessary to conduct appropriate testing before deploying them in production to prevent potential outages.
There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues.
Splunk AppDynamics is superior to any alternative, including Dynatrace.
Splunk AppDynamics does not support the complete MELT framework, which includes metrics, events, logging, and tracing for the entire stack.
If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems.
A good integration with Splunk would be very interesting, as Splunk is a good product for logs, and that part is currently missing in Splunk AppDynamics.
We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
Overall, I consider Splunk AppDynamics an expensive product; it's very expensive.
Customers have to pay a premium price, however, they receive considerable value from the product.
You can monitor anything.
We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.
This is the best feature because, although you can't monitor a whole application at once, Splunk AppDynamics gives you the option that if there is any failure—simple failure regarding anything set up as per our use cases—you will get an alert.
| Product | Market Share (%) |
|---|---|
| Splunk AppDynamics | 2.6% |
| Nagios Core | 2.4% |
| Other | 95.0% |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 36 |
| Large Enterprise | 194 |
This is IT infrastructure monitoring's industry-standard, open-source core. Free without professional support services.
Splunk AppDynamics enhances application performance monitoring with advanced diagnostics and real-time insights, offering seamless end-to-end transaction tracking and infrastructure visibility.
AppDynamics provides critical tools for businesses to analyze application behavior and performance. Through innovative features like transaction snapshot analysis and adaptable dashboards, users can quickly identify and address issues, ensuring high levels of system uptime and efficiency. It is designed to support complex environments including Kubernetes and AWS, enhancing user experience by detecting performance issues early. Despite needing improvements in network monitoring and integration, it remains a robust option for tracking application health.
What are the key features of AppDynamics?In industries like financial services and e-commerce, AppDynamics facilitates performance tracking across distributed systems, optimizing infrastructure to meet consumer demands. It excels in environments needing precise transaction monitoring and is pivotal in delivering high value and satisfaction.
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