Splunk AppDynamics Reviews

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's similar to ABM from Broadcom. It's important to have. You need to be able to manage the performance of the applications that are critical for business in an organization. If you don't have this kind of application, it's impossible to know what's happening with your critical business aspects. 

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.

Splunk AppDynamics helps us in identifying bottlenecks and providing fine-tuning recommendations. We have many sites. We do deployments and analyze products. Before, as a performance testing team, we were not in a position to tell the team where the issue was happening, only able to provide numbers. With Splunk AppDynamics, we can pinpoint exactly where we need to concentrate and provide recommendations for fine-tuning. Without it, it was a nightmare. We wouldn't have been able to provide this information. 

It is used as an APM. We utilize Splunk as a SIEM for security and infrastructure observability.

What I like the most about Splunk AppDynamics is the end-to-end observability for the application, along with traces. It enhances productivity and aids in cost avoidance.

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.

The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows. The application flow presents a streamlined interface, making it easy to navigate across different interfaces and troubleshoot applications. This interface is particularly valuable for identifying and resolving application issues effectively.

AppDynamics is used to monitor multiple applications in our company. Our company recently faced an issue with a mobile banking application. The tool conveyed that many people logged in successfully in the aforementioned application, and for others, the login failed. 

AppDynamics showed us at our company that the customers on a specific telecom carrier have a problem with the SSL certificate between the mobile device and our company's firewall.

In our company, we also had an issue with slow functionality in a mobile application that also belonged to the mobile banking category; AppDynamics showed us that it was an issue with the database, as found in database monitoring. Another use case of the solution is for basic server monitoring such as CBU, disk memory, Network I/O, and similar operations.

The transaction snapshots are the most valuable feature of AppDynamics. I find this feature valuable because for every transaction running through any application server that is detected by AppDynamics, you can check the code that makes the flow list and an issue, which can come from any functionality, and in our company, we can utilize the saved time for troubleshooting and reduce the time to repair and the developers can enhance the security and functionality. 

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.

The solution's most valuable feature is the response time from the end-to-end server. The solution is user-friendly and easy to use for everyone.

I'm familiar with agent-based database monitoring. It easily integrates and monitors various databases like Oracle, SQL Server, MySQL, and PostgreSQL, with minimal configuration. There are also some advanced, AI-infused use cases.

It's better to enable additional metrics and custom metrics if needed, depending on the specific application.

It's made a difference. The correlation between database and application performance allows us to proactively identify issues that could impact the user experience. This helps the application team improve the user experience and reduce the impact of any problems. The proactive monitoring from AppDynamics definitely helps.

For business purposes, the analytics side is a very unique part of the APM solution. There are lots of different APM products in this ecosystem, but other than AppDynamics, there is no business insight or very limited capacity. Other APM solutions on the business side are limited. Most of our bank customers and fintech customers use the Analytics side with very high priority.

From the C-level perspective, they mostly do not care about the operational metrics, for example, response time, CPU memory, or different kinds of technical metrics. They focus on the business side. The business impact of their application: Is it good? Is it healthy? Is their revenue increasing or not? Or stable? With the business analytics side, we provide a hundred percent of this business info. Before their end-to-end process, we provide real-time business metrics. 

For example, one of our banking customers uses business analytics to measure real-time ATM transactions, how much their customers withdraw or deposit from the ATM machine, or maybe POS machine, or in Europe, SEPA and SWIFT transactions. Customers manage their transactions from another site. We also measure real-time money transfers.

From each level, for example, ATM side, Internet banking side, mobile banking side. The business analytics side is the further version of an APM product for all APM products.

When you use the full AppDynamics product, for example, analytics and the performance measuring site, when you gather all this information correctly and fully, you can easily talk the same language between business and technical teams.

Most of the issue is not only the exact application problem or response time problem. Mostly, we face the issue of telling this problem or understanding the problem from the business side to the technical or operational team side. We cannot use the transition between this level. So AppDynamics gives us a good approach, good visibility, and a good language for both teams. 

For example, business, operational, software, and database teams use the same language to understand each other very easily. It decreases the meantime to resolution and TTR metrics, for example.