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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.
They need to work on their response time and overall competence.
The distributor's support is rated an eight out of ten, indicating room for improvement in SLA handling.
I am actually happy with technical support from NETSCOUT.
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 highly scalable and accommodates the growth needs effectively.
It is not similar to software solutions Datadog or Dynatrace where they can easily add agents without problems.
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.
Datadog is more stable than NETSCOUT nGeniusONE, being a SaaS-based solution compared to on-prem solutions like NETSCOUT.
I rate the stability of NETSCOUT nGeniusONE as ten out of ten since we have not experienced any escalations or downtime issues from the end user's side.
Customers are more sensitive about NETSCOUT nGeniusONE's upgrades because it has hardware.
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.
Customers want to have service assurance, including NPM and APM, from one vendor.
It would be beneficial to see more AI capabilities included in nGeniusONE to further streamline processes.
Many big companies Samsung and Hyundai try to build their own monitoring solutions using open-source tools and their own engineers, though it has not been successful.
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.
The cost depends on the size of the customer, as sizing controls the pricing.
Regarding its high price, I give NETSCOUT nGeniusONE a seven.
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.
The capability of real-time traffic intelligence is also very useful because it allows for the comparison between real-time and historical packet levels.
Their analysis capability actually surpasses other APM solutions, which is why customers love it.
The real-time insights that NETSCOUT nGeniusONE provides are very helpful.
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 (%) |
|---|---|
| NETSCOUT nGeniusONE | 1.2% |
| Zabbix | 5.7% |
| SolarWinds NPM | 3.4% |
| Other | 89.7% |
| Product | Market Share (%) |
|---|---|
| Splunk AppDynamics | 3.7% |
| Dynatrace | 6.3% |
| Datadog | 5.3% |
| Other | 84.7% |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 5 |
| Large Enterprise | 37 |
| Company Size | Count |
|---|---|
| Small Business | 55 |
| Midsize Enterprise | 36 |
| Large Enterprise | 195 |
Splunk AppDynamics is a comprehensive performance monitoring tool providing end-to-end transaction tracking, real-time monitoring, and a user-friendly interface. With AI-powered features, it enhances operational efficiency and resilience by offering insights into user interactions and infrastructure issues.
Splunk AppDynamics excels in monitoring applications and infrastructure performance, offering extensive support across environments like AWS and cloud. It aids in application performance monitoring, end-user experience, database analysis, and proactive incident detection. Supporting Java, .NET, and other technologies, it provides real-time insights into application health, resource utilization, and transaction tracking, ensuring reliable user experiences. Challenges remain in UI complexity, agent-based architecture, integration with diverse environments, and documentation clarity. Its licensing model is costly, and customer support may be slow. Performance concerns exist in historical data granularity and network visibility.
What features make Splunk AppDynamics stand out?Organizations in industries like finance and healthcare implement Splunk AppDynamics to monitor critical applications and infrastructure. Its capabilities in transaction tracking and AI-driven insights are crucial for maintaining system reliability, supporting technologies such as Java and .NET, and ensuring optimal resource utilization.
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