The solution effectively detects anomalies in the system.

The solution's most valuable features are its end-user monitoring and AI functionalities.

The solution's pricing could be improved and made more competitive.

I have been using AppDynamics Server Monitoring for four years.

I rate the solution’s stability an eight out of ten.

The solution is more suitable for enterprise businesses. Around 2,000 users use the solution in our organization.

I rate the solution’s scalability an eight out of ten.

The solution provides good and helpful technical support.

The solution's initial setup depends on the environment. Our deployment was challenging and took a while because our environment is a bit complex.

AppDynamics Server Monitoring is an expensive solution. The solution costs 5,000 per user.

Dynatrace is the solution's main competitor. We chose AppDynamics Server Monitoring because of its flexibility and ease of deployment.

The solution was deployed on the cloud for our organization. We use the solution's alerting system for server management, and it works fine. I would recommend the solution to other users.

Overall, I rate the solution an eight out of ten.

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.

The solution’s pricing is high and could be reduced. The solution’s setup is a bit complex.

I have been using AppDynamics Server Monitoring for five years.

The solution provides good stability.

I rate the solution’s stability a nine out of ten.

The solution's scalability depends on how many user licenses you are taking. The solution is charged per user, team, or domain.

We have to pay a yearly licensing fee for the solution. We can raise concerns or send mail regarding issues or difficulties we face, and the support team will contact us. They provide support to configure things or to learn more about their product.

The solution’s initial setup is a bit complex. It took around seven to eight days to set up everything, including the agent and server name.

AppDynamics Server Monitoring is an expensive solution.

We are not using the alerts as we have different mechanisms called resilience testing or kiosk testing. The DevOps team uses the alerts. During production, they will get alerts when they see the CPU utilization going beyond the 60% or 70% benchmark they have set.

AppDynamics and Dynatrace are the only two tools that provide accurate or stable end-to-end response time. These two tools can show you everything that's going on from the back end. If we are doing performance testing or any testing, these two tools can provide us with every detail about what's happening in the back end from the server side that we can't see.

Overall, I rate the solution a nine out of ten.

The tool provides more insights, but maybe if in the recommendation section, we can use some AI tool for the optimization of the database, then it would be helpful.

With AI, it would be good if the tool could help us with the database optimization part. If my company can get product support, it would be great since the tool has the ability to make predictions based on the database performance that something may be going wrong and notify us of the precautions to be taken.

I have been using AppDynamics Database Monitoring for two years.

Stability-wise, I rate the solution a nine out of ten.

Scalability-wise, I rate the solution a nine out of ten.

The tool is used by four to five people.

Whenever my company interacted with the solution's technical support or engineers, we had a better experience compared to the ones we had with other tools. I rate the technical support a nine out of ten.

The product's initial setup phase is easy since a separate machine is required, and it is not directly installed on a database as it is a type of proxy. We collect the logs, which is a model that is pretty easy to handle.

The solution is deployed on an on-premises model.

The solution can be deployed in a day or two.

Cost saving in terms of not an HR-based perspective, but I know that some performance improvements are there. The tool helps in overall cost optimization. Maybe we are not making decisions to increase the database and its resources. Once we know that there are some performance issues, then we can fine-tune the tool and save on the costs. The costs for my company have been reduced by 15 to 20 percent using the solution.

The tool is expensive. If one is expensive and ten is low price, I rate the product price as seven out of ten.

I know about two products. AppDynamics Transaction Analytics was already a part of AppDynamics solution when my company bought it with an enterprise-level licensing, so it provides some business analytics dashboards. The other product I use is not related to analytics, so I didn't use it much.

In terms of optimizing our company's data operations, the tool provides insights on whether there are any challenges in databases or if there is something related to queries, which is helpful. One can monitor the performance and see if there are any delays that occur in the databases when we are dealing with the queries, and it helps to find out what the issues are.

I don't know what the features of the tool are for performance analysis, but when any application generates codes to extract particular information from a database, it sometimes gets stuck on some queries. At the query level, monitoring and providing more insights are beneficial.

A scenario where the real-time monitoring aspect of AppDynamics was crucial for our team was when we were adding a new application and testing it with our production environment or in the UAT; the tool was helpful because we could fine-tune the application and optimize it. If there are certain issues, we can easily identify such issues with the tool, especially when adding a new application since the product helps a lot.

Speaking about how the alerting system in AppDynamics helps in preventing potential database issues, I can say that from my observation, if there is some problem at a certain point in time, we get alerts, but I am not sure if prevention to help us identify issues is available or not in the tool. It would be good if we can identify the issues before it affects our company. There are some slow performance areas that need to be identified.

My company often takes care of the maintenance of the tool. One engineer can maintain the tool.

I recommend the tool to others.

I rate the tool a nine out of ten.

There are certain limitations with the agents in the solution. For some applications, AppDynamics Server Monitoring provides agents only for Linux-based machines.

When our organization deals with environments where only Windows-based applications are running, we face challenges using AppDynamics Server Monitoring. Some community-based agents are available with a solution that utilizes the CPU and memory of the hardware devices in excess.

The vendor should make changes to support Windows-based applications or develop single agents to support all applications. Recently, a single agent feature was announced; if it's easy to use, then the solution will have an edge over others and simplify the deployment process.

I have been using AppDynamics Server Monitoring for one or two years.

I would rate the stability a nine out of ten.

There are about 15 users of AppDynamics Server Monitoring in our organization. At our company, we try to avoid frequent or regular maintenance of the solution as it can disturb daily operations. I would rate the scalability a ten out of ten. If the deployed environment grows, there are no challenges in increasing the resources in the solution, hence the solution can be easily scaled.

The tech support from the vendor is satisfying. I would rate the tech support an eight out of ten.

There are some complexities in the initial deployment process of AppDynamics Server Monitoring. It's an agent-based solution, so there are different agents for varying apps, the compatibility of the agent with the app is not straightforward. When our company's team is installing the agents, they are facing some challenges related to agent compatibility and product performance. The main controller setup of the solution is comprehensible.

The installation of AppDynamics Server Monitoring takes more than a week in total. The main controller can be installed within a day, but the agent installation for different applications takes around a week.

The licensing cost is fairly high. I would rate the pricing an eight out of ten. There are no additional costs to the standard licensing fees for AppDynamics Server Monitoring.

Customers of our company use the solution to monitor servers in digital banking, online banking applications and other financial entities. AppDynamics Server Monitoring is a user-friendly solution. The dashboard, flow providing maps of varying applications and the back-end calls are easy to understand in the solution.

The alerting mechanism works satisfactorily and efficiently as other solutions. Notifications are provided in the dashboard, or they can also be sent to users via email or SMS by AppDynamics Server Monitoring, other solution don't have multiple alerting options.

After implementing the solution, we haven't witnessed any operational cost reduction, but performance improvements have been identified. The solution has provided exceptional root cause analysis and technical solutions for problem identification and resolution.

The correlation feature available with AppDynamics Server Monitoring is absent in other competitive solutions. The aforementioned feature helps evaluate the impact of one application's issues on the other, pinpoint the error location, and check the dependency between applications. Compared to the NMS, the APM can provide more information on user monitoring.

Some security features and threat loophole identification features can be included in AppDynamics Server Monitoring by the vendor. As the solution also maintains baselining, it can take a proactive approach based on historical data to gain AI capabilities. If AI features are included, then AppDynamics Server Monitoring will probably be able to predict upcoming application failure by analyzing some metrics that have gone down.

I would recommend AppDynamics Server Monitoring to other users due to its user-friendliness. A Competitor solution from Dynatrace provides almost the same features as AppDynamics Server Monitoring, but their dashboards and overall usability are quite complex. Many financial sector companies and government organizations often prefer an on-prem version, which is provided by AppDynamics Server Monitoring, but other solutions like Datadog are available as SaaS. I would rate AppDynamics Server Monitoring as nine out of ten.

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.

The alert mechanism in AppDynamics enhances server management tasks by using agents installed on each server. These agents capture numerous metrics, collaborate to describe specific transactions, and allow us to monitor each transaction based on user interactions. We can see where any transaction might falter in the SAP server, application server, or presentation database, helping us identify the exact point of failure or degradation in transaction time, extract anomaly detection, or pinpoint real failures in SAP or other applications. This mechanism is very similar to Dynatrace, but AppDynamics is currently the best option for SAP.

AppDynamics Server Monitoring lacks investment in new technologies like Kubernetes and cloud solutions. Dynatrace has received significant investment in these areas and is better suited for cloud-native applications. However, AppDynamics still holds value for traditional applications used in banks or larger companies.

I've worked with AppDynamics Server Monitoring for five to six years. My experience in monitoring systems started around 2020-2022, focusing on serviceability for SAP ERP environments.

Regarding stability, I would also rate it at nine out of ten as it is highly stable.

I'd rate the scalability of AppDynamics Server Monitoring at nine out of ten, indicating it's highly scalable.

AppDynamics Server Monitoring is deployed based on the organization's needs. For instance, installing it on a single server is better for a few clients for on-premises deployment. On the other hand, different solutions are available for cloud monitoring applications. The trend is shifting towards new paradigms like DevOps. AppDynamics adheres to these standards and can be used for both on-premises and cloud environments, depending on the specific requirements and business model of the organization. Maintenance requires a dedicated team, which can be extensive, especially in large organizations like banks.

I would rate my experience with the initial setup of AppDynamics as seven out of ten.

The return on investment with AppDynamics Server Monitoring has been significant in certain areas, especially for SAP environments. However, there hasn't been as much focus on the broader market due to their emphasis on cloud messaging applications. It ultimately depends on the customer's specific needs and how well the solution aligns with them.

The pricing for AppDynamics is expensive, but it is possible to negotiate special pricing through bids.

AppDynamics Server Monitoring is integrated into the infrastructure through agents installed on the servers, and it utilizes REST APIs for process control and integration with other solutions. In terms of AI usage, AppDynamics uses AI for anomaly detection and resource forecasting.

AppDynamics Server Monitoring is recommended, especially for SAP environments or cloud-native applications. However, the recommendation depends on the specific needs of the organization.

Overall, I would rate AppDynamics Server Monitoring as seven out of ten.

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.

It’s a very centralized solution from the analytics perspective. So, when users expand their licenses, they can expand their visibility. For example, they measure the license count from the analytics perspective, daily transactions. They measure daily transactions, for example. One transaction analytics license gives visibility to one million transactions per day.

So if users want to expand the visibility, if users want to expand their usage of the Analytics site, they need to expand the license also, based on your transactions per day. So it’s easy.

The premise has its own AI capabilities, both on the SaaS and the on-prem side. So, if users want to use this AI feature, other than the other APM product, for example, Dynatrace, users can easily use it as a disconnected on-prem application. This means there is no need to communicate with the Internet connection or product owners, only the communication between the data center and the Internet site. So users can easily use it as a disconnected on-prem, which is the only solution in the APM ecosystem. For example, the big competitor in this area is Dynatrace. Dynatrace has its own daily static analytics features, which need a source connection.

So, even if users use an on-prem solution, if they want to use the AI options, they need to communicate with their analytics units via an Internet connection. This is important from a technical perspective.

Another thing is it’s totally free when users own this product with different kinds of agents. Users can also own these AI features. For example, when someone looks at the Dynatrace site, they need to pay for daily data units. So it’s cost-based. It’s a transaction-based cost with another product, but in AppDynamics, there is no additional cost. So this is one of the advantages.

AppDynamics and the other APM products are really, really much further than other products. So, with this perspective, there are some minor enhancements that can be made, but for the major sites, there is no negative impact or any alternative application.

For example, some cosmetic enhancements. We live in Turkey, so we have our currency, we have some number formats, or something like that. Sometimes, we can face issues getting the business metric and using or calculating it because of this format or some locality issue. So, I’m specifically talking about this kind of enhancement to enhance its localization capabilities.

I have been using it for more than 12 years now. I have been using it since the beginning. I use it both on cloud and on-premises.

More than as an application performance management [APM] site other than AppDynamics, I have used APM products for more than twenty years.

It has been super stable. I can easily rate it a ten out of ten because there is no overhead or something like that. There’s no code application, and no code declaration is needed here, so it’s very superior.

From an analytics perspective, when users expand their visibility, there’s no need to expand the license level other than, for example, there’s no additional code application, no additional technical improvement, or something like that. Users only need to expand the license based on their daily transactions. So it’s super easy.

I would rate the scalability a ten out of ten. It has been stable, scalable and manageable.

In Turkey, we are working with more than 75 different companies. We are also responsible for the EMEA region, including Qatar and Austria. So, these are medium to larger organizations.

This is a global company, so there are lots of different support teams all over.

I used to work with lots of different APM products in my personal career. More than maybe six different products, for example, Dynatrace, CUI, HP Diagnostic (now Micro Focus APM solutions), and other free APM solutions, open-source APM services I used to work with.

We are an APM company. So we make PoCs with lots of different APM vendors throughout the years. For example, last year, I made maybe three different PoCs with other APM vendors.

But now, for the last nine years, my personal technical perspective and the customer needs in Turkey really align with AppDynamics because it’s a very unified platform. It’s very easy to understand, easy to use. So because of that, I’ve been working with AppDynamics for the last nine years.

We can divide it into two sections. One of them is the agent-based installation, and the other one is the platform-based.

This is a server-side application, so it has lots of different components. Based on my experience, it is easier than other APM solutions as a platform and data warehouse. But the agent side is very different because there are lots of different applications.

The agent side includes .NET agent, Java agent, Linux agent, Windows agents. There are different types of products on the agent side. It depends on the agent types you need. But from a general point of view, I used many different kinds of APM products, for example, NetTrace, Riverbed, Eternity, and HP Diagnostics. I have a license here too.

So, the initial setup has been simple for me.

AppDynamics delivered financial benefits to our clients. For instance, we are monitoring the money transfer services’ performance metrics, such as response time, how many calls per minute are in a specific time range, and how many other transactions are per minute in a specific time range. These are the technical metrics, the performance metrics specifically. But we are also measuring their business metrics inside the method parameters for HTTP data collectors.

So we can get this business metric data easily without any code application. This is a very important part. We don’t need any code declaration or development on the development side. We can measure parameters like the amount of money, the success of their transactions, and other business success metrics from these method parameters without any code declaration.

Another example is a loan team in a bank that measures their loan services from their clients. They track how many applications are processed within a specific time range, the success rate, and the correlation of their performance metrics, such as slowness or error rates, with their business outcomes.

For example, yesterday, they released a new application update to address performance issues. Today, we are monitoring their application performance. After this release, their performance went down, response time increased, and success rate decreased. By measuring these performance metrics, their C-level executives and business teams can correlate these performance issues with business impact.

Normally, there’s a baseline, for example, on Wednesday from 10 AM to 11 AM, where they process ten loan applications per minute. If this release negatively affects the business, they can see that response time is increasing, error rate is increasing, and it is impacting their loan applications. So, instead of processing ten applications per minute, they might only process five or three. They can easily measure this impact on their business.

The pricing is very competitive because the prices depend on the customer and customer priority. Based on my knowledge, if I can correlate the business effect and business opportunity to their price, I would rate it a nine out of ten, with one being not cost-effective and ten being very cost-effective.

I would recommend it to other users. Overall, I would rate it a nine out of ten.

Is to gain full visibility and performance insights across our infrastructure and applications.

We use it to monitor system health, analyze logs, and detect anomalies in real time, ensuring proactive incident management and minimal downtime.

The environment consists of hybrid infrastructure — on-premises servers, cloud workloads (Azure), and multiple business-critical applications.

We gained real-time insights into application and infrastructure logs, allowing faster incident detection, root cause analysis, and compliance reporting. AppDynamics complemented this by providing deep application performance monitoring, enabling us to identify bottlenecks, optimize transaction flows, and enhance user experience.

I am satisfied with the product. The most beneficial features are the ones that give us full visibility for the API integration. The real-time analytics is good. It enhances our operational decision-making. Before using the tool, we had issues between the network and application teams. The solution saves time and cost.

The infrastructure is not as good as other solutions. AppDynamics is designed for application performance. Some solutions also cover infrastructure and server performance. AppDynamics specializes only in application performance. The product is not easy to use.

I have been using the solution for eight months.

It works perfectly, and we haven’t faced any issues.

It works perfectly, and we haven’t faced any issues.

The technical support is amazing.

Yes, we have worked with various products, including Microsoft SCOM and other open-source solutions. However, we transitioned away from them due to limited capabilities in SCOM and the lack of adequate support for open-source tools.

The tool is not easy to deploy. It needs some experience. It is not difficult, but it is not easy. The time taken for deployment depends on the applications and the size of the environment.

It was through our team

It takes one year to get a return on investment.

The product is a bit expensive compared to other tools.

AppDynamics has the needed features, but it is not as good as NETSCOUT.

I am a partner and reseller. I will recommend the tool to other businesses that manage complex applications. It aids a little bit in AI-driven initiatives. Overall, I rate the product an eight and a half out of ten.

The most valuable feature of AppDynamics is that you can easily determine the load on the application. You can find out how many users are using it, whether there are any response time issues, whether any errors are going high for your application's transactions, etc.

The solution's user interface should be improved. Since it's a GUI tool, traversing from the error to the root cause can sometimes be difficult if you are not thorough with AppDynamics. This could slow down the tool, thereby causing you trouble.

I have been using AppDynamics since 2016.

Most financial services sectors, such as banking and insurance sectors, use AppDynamics. The solution's user base is very high.

The solution's initial setup is moderately easy. Installing the tool on old applications like Unix and Linux should be much easier. However, there could be some issues installing the solution on the cloud. The regular pre-defined agents might not work, and you will have to customize and then use them.

AppDynamics was initially a startup. Later, it was sold to Cisco, which has been quite aggressive in its pricing. I would say the solution is affordable because it is widely used across financial service sectors.

Currently, the solution is on the cloud as well. You can have your cloud applications onboarded to AppDynamics without any issues. AppDynamics has its own SaaS environment and SaaS controller on which you can onboard your application. You will need to install some of the AppDynamics agents.

I used to contact the tools team, and they used to answer our queries mostly. If not, they used to take it to the support and then come back with their solution. Users need to list all the servers related to their application on which they want the AppDynamics agents installed. Depending on whether your application is cloud-based or non-cloud, you need to list all your servers. Then, a further installation process would be recommended.

To use AppDynamics, you need to understand the different flows. If an issue is currently ongoing, you need to check which GUI flow is being used. If you want previous data, it will be in the history, and that's a different flow. Working with the tool is tricky, but two to three weeks of continuous work on it should bring you up to date.

Suppose you are working in a bank. For your application, you can configure everything regarding the business transaction. For balance transfers, you can have one business transaction that will monitor balance transfers. There can be another business transaction that can monitor credit cards. You can configure different flows and transactions within the flows in terms of business transactions. Wherever there is an issue, that exact business transaction will start developing.

The integration of AppDynamics within our CI/CD pipeline has positively affected our deployment frequency and application quality. Whenever there is a deployment or release, we see some hiccups in AppDynamics. There will be some things going on on that server, which we can easily identify in AppDynamics. Only after we validate that do we give the next go.

Overall, I rate the solution eight and a half out of ten.