Nagios XI and Splunk AppDynamics both operate in the IT monitoring space. While Nagios XI stands out in network monitoring, Splunk AppDynamics has a strong presence in application performance monitoring, offering comprehensive features that give it a competitive edge in application environments due to its in-depth analysis and monitoring capabilities.
Features: Nagios XI offers easy configuration, open-source plugin support, and customizable dashboards that make network monitoring efficient and versatile. It supports real-time alerts and a comprehensive suite for basic network service monitoring. Splunk AppDynamics provides intensive application monitoring with features like transaction flow maps, JVM memory monitoring, and business transaction tracking that offer deep insights into performance issues.
Room for Improvement: Nagios XI could enhance its web interface and simplify the initial setup to reduce reliance on command-line configurations and plugins. For Splunk AppDynamics, users would benefit from a more straightforward licensing model and better integration with modern technologies, alongside enhancing its network monitoring functions and support services.
Ease of Deployment and Customer Service: Nagios XI’s deployment is feasible across on-premises and private cloud setups but can be complex due to manual configurations. Its vast community offers resourceful support. In contrast, Splunk AppDynamics supports hybrid and public clouds, often requiring considerable setup effort, but provides structured support aided by comprehensive documentation.
Pricing and ROI: Nagios XI is recognized for cost efficiency, especially for smaller operations, offering a free core version with flexible pricing. Splunk AppDynamics, being more expensive, provides substantial value through detailed application insights, though its complex licensing could pose financial challenges over time, leading to higher costs compared to Nagios XI.
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.
If the user interface isn’t presenting data well, it becomes difficult to manage when scaling.
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.
It is very stable.
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.
Many tools have poor user interfaces, making them hard to manage and navigate.
The GUI could be improved. It's a bit too basic.
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 are using the free, open-source version.
The pricing for the Nagios XI product is good and better than other solutions.
We completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
Customers have to pay a premium price, however, they receive considerable value from the product.
All these solutions at the moment are cheap, but it is like paying for insurance; you pay insurance to avoid major damage.
Nagios XI simplifies our setup and reduces the time spent configuring monitoring tools.
The alerting system is very effective.
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 | 2.8% |
| Nagios XI | 3.2% |
| Other | 94.0% |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 17 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 36 |
| Large Enterprise | 189 |
Nagios XI provides monitoring of all mission-critical infrastructure components, including applications, services, operating systems, network protocols, systems metrics, and network infrastructure. Third-party add-ons provide tools for monitoring virtually all in-house and external applications, services, and systems.
Nagios XI uses a powerful Core 4 monitoring engine that provides users with the highest levels of server monitoring performance. This high degree of performance enables nearly limitless scalability and monitoring powers.
With Nagios XI, stakeholders can check up on their infrastructure status using the role-based web interface. Sophisticated dashboards enable access to monitoring information and third-party data. Administrators can easily set up permissions so users can only access the infrastructure they are authorized to view.
Nagios XI Benefits and Features
Some of the benefits and top features of using Nagios XI include:
Reviews from Real Users
Nagios XI stands out among its competitors for a number of reasons. Several major ones are its integration options and monitoring abilities, as well as its alerting features.
David P., a senior DevOps engineer at EML Payments Ltd, writes, “We use Nagios as a network discovery tool. We use Nagios to maintain our uptime statistics and to monitor our services. It has allowed us to be much more sophisticated in our monitoring and alerting.”
An IT-OSS manager at a comms service provider notes, “Nagios XI has a custom API feature, and we can expose custom APIs for our integration. This is a great feature.”
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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