I use Splunk AppDynamics' data collection features with agent-based collection. I am using application performance monitoring with the agent-based application which is injected into the Java application or .NET application to see the response time, the business transaction itself, and snapshots for each business transaction. I have used Splunk AppDynamics for business transaction monitoring and we are totally depending on application performance monitoring using Splunk AppDynamics. I am seeing each service in our mobile app, from the login service, CD redemptions, and fund transfer, balance transfer impacting what I can prioritize.
Performance Test Engineer at TANIM CONSULTING, LLC
Real User
Top 10
Nov 28, 2025
We use real-time application monitoring for financial applications, basically API testing. Our software runs on Red Hat Kubernetes container platform. We monitor a few thousand APIs and it's integrated with a testing tool called LoadRunner Enterprise software. We extensively use it for banking systems in terms of how long it's taking to execute registration, user registration, or bringing up the transactions of the monthly period. If they want to see the monthly transactions, we monitor how long it's taking for this, or if they want to submit a service request, we monitor how long it's taking to get the notifications, all those kinds of things.
I am using Splunk AppDynamics for application support and production support. I have worked for an alert system, which monitors any failures in the application related to alerts, job failures, and any services not working, by setting up all the alerts in Splunk AppDynamics to ensure the application is running fine. If it is not running fine, we can identify which service is not running and why it is not running, allowing us to monitor every log from Splunk AppDynamics. In the first case, if you want to see logs, especially regarding what and how, just keep the keywords according to the exception, and you will get all the details related to that. It is very easy to find solutions based on those logs. Additionally, if the application is not stable and is expected not to run for another hour, we have the option to check for space-related issues or any database tablespace-related issues. Splunk AppDynamics allows you to set up every kind of alert to proactively monitor and stabilize the application.We are using the secure application feature in Splunk AppDynamics. To explain how that affects our ability to detect and protect against vulnerabilities, if anyone attempts to send an email to UPS.com using certain keywords related to transactions, Splunk AppDynamics immediately triggers and alerts for phishing attempts. This setup was also configured by the development team. I am aware of the features, such as if anything suspicious arises, many keywords need to be inserted to receive alerts, for instance, when someone tries to break into your security or network. I use two or three applications that can be accessed from mobile. Once I connect to any public network—such as TFL rail—my mobile disconnects immediately, preventing me from logging in for two hours, due to restrictions set up by my development team. The importance of providing my mobile's MAC address to the development team that has integrated everything into Splunk AppDynamics ensures every team member's device is monitored to track connections to public, private, or secure networks.
We had several applications that were facing performance issues. To improve our observability, alerting, and monitoring of these performance problems, we onboarded the applications onto Splunk AppDynamics. This allowed us to gain better insights into the issues and identify the business transactions that were causing the problems. I haven't used the APM feature. It's primarily been configuring database collectors on a database.
I get information related to application transactions on a day-to-day basis and manage their capacity augmentation according to transaction details. We collect errors and exceptions from end-user applications, and we share the details with the application development team that works on the application errors and exceptions to resolve and create enhanced performance with the help of Splunk AppDynamics. We have been working with Splunk AppDynamics for the last six years.
Performance Engineer at a pharma/biotech company with 10,001+ employees
Real User
Top 10
May 15, 2025
Our use case is in the lower environment. We are not using it in the production environment. We are part of the performance testing team, so we monitor the users on this server through performance testing, and during that time, we use all the agents, install them on the server, and monitor any bottlenecks. We use Splunk AppDynamics for deep dive analysis and provide inputs to the team. That is our use case. We are using it only for the on-premises environment, but we are exploring options for Azure-hosted applications and AWS-hosted applications.
The main use cases for it are similar to APM from Broadcom. Splunk AppDynamics is very similar to APM. The part of the database is interesting since users can do many things with this dashboard, and the business dashboards are also very interesting. The main dashboard, showing all communication between components or business transactions, is very interesting as well. This is similar to APM from Broadcom. The most important thing is managing the performance of the application for critical business in organizations, and it's very important to do this with the solution you want. If you don't have this kind of application, it's impossible to know what happened with your critical business.
Normally, we require end-user monitoring for our digital banking services. Since we operate in the financial sector, we need monitoring for our mobile apps and web browsers, particularly for our online banking systems. This is our main use case.
Head, Production Assurance and Customer Care at a financial services firm with 1,001-5,000 employees
Real User
Top 5
Jan 16, 2025
We worked on the kernel, and being able to monitor our application is important. We have utilized some predictive analysis, and that seems to be the biggest advantage.
The performance and DevOps teams use the solution to drill down and find out the root cause if we are getting any high response time. In that condition, we have drilled down and checked out the calls and methods, which are taking too long.
We analyze data for performance and availability, which is produced by servers, infrastructure and cloud. However, it's not sufficient to only use Dynatrace because it makes a lot of data. This data is interpreted by AppDynamics automatically with technical data to understand the business impact, thus improving productivity. In Europe, enterprises widely use SAP, and AppDynamics effectively supports this by monitoring the core IT environment and the services around SAP, like CRM, Salesforce, and logistics systems.
Our primary use case is to comprehend infrastructure challenges when facing performance issues, we can easily correlate them to the hosting infrastructure for the application. Over the past two decades, the shift from physical servers to VMs has led to various infrastructure problems, such as shared resources like disk space, CPU, and memory, causing slowdowns. Customers often seek to determine whether the issue lies in the infrastructure's server side. Additionally, with the transition from VMs to container-based solutions, measuring metrics like CPU, memory, or disk usage in these dynamic container environments becomes challenging. Customers rely on this solution to gain insights into these complexities.
IT Manager at a tech services company with 11-50 employees
Real User
Top 20
Oct 30, 2023
We use the product to monitor servers and CPUs and the amount of storage through VPN connection for 55 branches of our customers distributed across countries.
We are using this solution because sometimes there is a technical requirement for a correlation between server assets and application assets. The end users are happy to use the solution for some applications related to .NET to get correct information.
Head, Production Assurance and Customer Care at a financial services firm with 1,001-5,000 employees
Real User
Top 5
Oct 12, 2022
Our company uses the solution to track abnormalities and check connections for critical applications. We had the solution on-premises but recently moved it to the SaaS platform.
Senior eCommerce Infrastructure Specialist, L2 at Mastek
Consultant
May 28, 2020
I have a B2B eCommerce website and we have some business transactions. For that, we have configured the business transactions in AppDynamics. Apart from that, we have a list of servers that we have configured in AppDynamics, to send us some sort of alert if there's something bad or the servers are in disguise or something. First, we use it to handle the business transactions alerting, and then the servers alerting. And second, we use it to create the dashboard so that we can get real-time updates on how the system is performing at around runtime.
Head of Architecture and DevOps at a financial services firm with 10,001+ employees
Real User
Sep 22, 2019
We use the on-premise deployment model of this solution. Our primary use case of this solution is for monitoring our critical applications. The automated data dynamics enables us to monitor the performance of an application and unknowns.
Head of Architecture and DevOps at a financial services firm with 10,001+ employees
Real User
Sep 22, 2019
We use the on-premise deployment model of this solution. Our primary use case of this solution is for monitoring our critical applications. The automated data dynamics enables us to monitor the performance of an application and unknowns.
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...
I use Splunk AppDynamics' data collection features with agent-based collection. I am using application performance monitoring with the agent-based application which is injected into the Java application or .NET application to see the response time, the business transaction itself, and snapshots for each business transaction. I have used Splunk AppDynamics for business transaction monitoring and we are totally depending on application performance monitoring using Splunk AppDynamics. I am seeing each service in our mobile app, from the login service, CD redemptions, and fund transfer, balance transfer impacting what I can prioritize.
We use real-time application monitoring for financial applications, basically API testing. Our software runs on Red Hat Kubernetes container platform. We monitor a few thousand APIs and it's integrated with a testing tool called LoadRunner Enterprise software. We extensively use it for banking systems in terms of how long it's taking to execute registration, user registration, or bringing up the transactions of the monthly period. If they want to see the monthly transactions, we monitor how long it's taking for this, or if they want to submit a service request, we monitor how long it's taking to get the notifications, all those kinds of things.
I am using Splunk AppDynamics for application support and production support. I have worked for an alert system, which monitors any failures in the application related to alerts, job failures, and any services not working, by setting up all the alerts in Splunk AppDynamics to ensure the application is running fine. If it is not running fine, we can identify which service is not running and why it is not running, allowing us to monitor every log from Splunk AppDynamics. In the first case, if you want to see logs, especially regarding what and how, just keep the keywords according to the exception, and you will get all the details related to that. It is very easy to find solutions based on those logs. Additionally, if the application is not stable and is expected not to run for another hour, we have the option to check for space-related issues or any database tablespace-related issues. Splunk AppDynamics allows you to set up every kind of alert to proactively monitor and stabilize the application.We are using the secure application feature in Splunk AppDynamics. To explain how that affects our ability to detect and protect against vulnerabilities, if anyone attempts to send an email to UPS.com using certain keywords related to transactions, Splunk AppDynamics immediately triggers and alerts for phishing attempts. This setup was also configured by the development team. I am aware of the features, such as if anything suspicious arises, many keywords need to be inserted to receive alerts, for instance, when someone tries to break into your security or network. I use two or three applications that can be accessed from mobile. Once I connect to any public network—such as TFL rail—my mobile disconnects immediately, preventing me from logging in for two hours, due to restrictions set up by my development team. The importance of providing my mobile's MAC address to the development team that has integrated everything into Splunk AppDynamics ensures every team member's device is monitored to track connections to public, private, or secure networks.
My main use cases for Splunk AppDynamics include APM, application performance monitoring.
We had several applications that were facing performance issues. To improve our observability, alerting, and monitoring of these performance problems, we onboarded the applications onto Splunk AppDynamics. This allowed us to gain better insights into the issues and identify the business transactions that were causing the problems. I haven't used the APM feature. It's primarily been configuring database collectors on a database.
I get information related to application transactions on a day-to-day basis and manage their capacity augmentation according to transaction details. We collect errors and exceptions from end-user applications, and we share the details with the application development team that works on the application errors and exceptions to resolve and create enhanced performance with the help of Splunk AppDynamics. We have been working with Splunk AppDynamics for the last six years.
Our use case is in the lower environment. We are not using it in the production environment. We are part of the performance testing team, so we monitor the users on this server through performance testing, and during that time, we use all the agents, install them on the server, and monitor any bottlenecks. We use Splunk AppDynamics for deep dive analysis and provide inputs to the team. That is our use case. We are using it only for the on-premises environment, but we are exploring options for Azure-hosted applications and AWS-hosted applications.
The main use cases for it are similar to APM from Broadcom. Splunk AppDynamics is very similar to APM. The part of the database is interesting since users can do many things with this dashboard, and the business dashboards are also very interesting. The main dashboard, showing all communication between components or business transactions, is very interesting as well. This is similar to APM from Broadcom. The most important thing is managing the performance of the application for critical business in organizations, and it's very important to do this with the solution you want. If you don't have this kind of application, it's impossible to know what happened with your critical business.
It is used as an APM. We utilize Splunk as a SIEM for security and infrastructure observability.
Normally, we require end-user monitoring for our digital banking services. Since we operate in the financial sector, we need monitoring for our mobile apps and web browsers, particularly for our online banking systems. This is our main use case.
We worked on the kernel, and being able to monitor our application is important. We have utilized some predictive analysis, and that seems to be the biggest advantage.
The solution effectively detects anomalies in the system.
The performance and DevOps teams use the solution to drill down and find out the root cause if we are getting any high response time. In that condition, we have drilled down and checked out the calls and methods, which are taking too long.
We analyze data for performance and availability, which is produced by servers, infrastructure and cloud. However, it's not sufficient to only use Dynatrace because it makes a lot of data. This data is interpreted by AppDynamics automatically with technical data to understand the business impact, thus improving productivity. In Europe, enterprises widely use SAP, and AppDynamics effectively supports this by monitoring the core IT environment and the services around SAP, like CRM, Salesforce, and logistics systems.
Our primary use case is to comprehend infrastructure challenges when facing performance issues, we can easily correlate them to the hosting infrastructure for the application. Over the past two decades, the shift from physical servers to VMs has led to various infrastructure problems, such as shared resources like disk space, CPU, and memory, causing slowdowns. Customers often seek to determine whether the issue lies in the infrastructure's server side. Additionally, with the transition from VMs to container-based solutions, measuring metrics like CPU, memory, or disk usage in these dynamic container environments becomes challenging. Customers rely on this solution to gain insights into these complexities.
We use the product to monitor servers and CPUs and the amount of storage through VPN connection for 55 branches of our customers distributed across countries.
We use the product to monitor some of our critical systems. We started using the solution for application performance monitoring.
We use AppDynamics Server Monitoring to keep track of live errors, loads, calls per minute, etc.
We are using this solution because sometimes there is a technical requirement for a correlation between server assets and application assets. The end users are happy to use the solution for some applications related to .NET to get correct information.
Our company uses the solution to track abnormalities and check connections for critical applications. We had the solution on-premises but recently moved it to the SaaS platform.
We're using AppDynamics Server Monitoring for the IT infrastructure and server of the customers.
We use AppDynmaics Server Monitoring to monitor and gain insight into what is happening in our infrastructure.
I have a B2B eCommerce website and we have some business transactions. For that, we have configured the business transactions in AppDynamics. Apart from that, we have a list of servers that we have configured in AppDynamics, to send us some sort of alert if there's something bad or the servers are in disguise or something. First, we use it to handle the business transactions alerting, and then the servers alerting. And second, we use it to create the dashboard so that we can get real-time updates on how the system is performing at around runtime.
We use the on-premise deployment model of this solution. Our primary use case of this solution is for monitoring our critical applications. The automated data dynamics enables us to monitor the performance of an application and unknowns.
We use the on-premise deployment model of this solution. Our primary use case of this solution is for monitoring our critical applications. The automated data dynamics enables us to monitor the performance of an application and unknowns.