Share your experience using AppPulse Suite [EOL]

We're a bank. We do use the predictive tools for the different products of the bank and the application which the bank utilizes.

AppD improves the productivity of Application Engineers, development teams, and other integrated items. Slowness or leak issue is a nut for the team now. Also, the team resolves or understands the network and query path every easy and resolves efficiently.

Our application uptime, increased by 10%, and overall productivity up by 30%.

Ticket or issue down by 12% over five years of use and experience.

Open to be applied and test any area and suite.

The tracing is the most important aspect of the solution. The way it traces the information within the particular application or within the particular infrastructure is great. That actually helps. Apart from that, all of the data that's in the production APM is good.  

Technical support is helpful.

The solution scales well.

The stability is good. 

We do have a combination of areas that need improvement. We do have the integration, such as end-user integration and experience that could be better. It is not just from the response point of view; it is more from the error and error detection point of view. This is due to the fact that these are all the banking applications as used by the banking staff, not by the end-user directly. Based on the banking staff feedback, based on the staff security or maybe dealing with the capital market, there needs to be some improvement.

They do provide the input growth on a daily basis in terms of what is coming in and how we receive the applications and how many we have. We've now started looking for a particular product that can make sure that it should connect with files and statements inside the product. 

The IO ratio, which we are looking for in terms of a report, is one of the concerns. We do monitor those details from AppDynamics, however, reporting and monitoring could be better.

There needs to be more analytics. That is what we are missing from the tool point of view. We need more information geared more towards helping us in making better decisions. When you do the coding that's for a banking situation or maybe in the incidents or capital market, it becomes very important that how much time I'm investing inside the transaction. A transaction which needs to be carried out for either confirming the payments or maybe either releasing the payments - these kinds of things. What I have seen with the use, as of now, is a bit of a lag when we are running on the global cloud or the public clouds, like Azure or the Google platform. 

Right now, we are fighting between three different stakeholders. With the networks, we have a different chat, with the vendors we have a different chat, and with the application team, we have a different chat. This approach doesn't provide a holistic view. Everyone has their own excuses and everyone has their own reasoning and conditions. 

If it can be able to intelligently provide all the things we need to look at, from a data point of view, that would be very useful.

I would say that I have between seven and eight years of experience, hands-on. However, later on in the time frame, over the last four or five years, I have not has as much hands-on experience with the tool. I'm more involved in various solution discussions and strategy building with the platform on top of the tool.

I would say it's very steady and for now, it's very reliable as well. It's stable. We don't have issues with bugs or crashes. 

The solution is very scalable so far in any testing scenario. It performs very well and gives us the expected output which we are looking to improve. 

We are using the solution for more than 600 small and big applications. We have around 78,000 people, including the back-end staff and the development team, that use the solution.

Overall, technical support has been very good. We're very satisfied with their level of support. So far, it's been very good for the bank.

Positive

We have used HPE BSM (now called MF APM). 

Due to these factors, we switch:

1. Costly

2. Implementation complexity

3. Multiple products and Integration

4. Not end-user friendly. 

I was not involved in the initial implementation. Nowadays, the way we approach the teams, sometimes it's very easy when it's an application with a known language like Python or maybe with Ruby or a kind of Java application. In terms of gateways inside the product, sometimes it is very tough, and sometimes it is very easy to get deployed. We're not using any out-of-the-box security. 

We have used model Train for the trainers and enforced all employees with operational training.

We achieve a great number, in terms of applications user availability increase by 30%. In treading, and agents, needs a smooth performance before the market starts. AppD provide a depth to measure any performances challenges, leak issue or even a chain linked issue story.

The pricing is a mixed bag. In some areas they are reasonably priced, however, in others, it's a bit expensive. 

We look for ease of implementation, diagnostics information shared, and controls to the team for working.

We're just an end-user of the product.

We're using the latest version of the solution. 

The deployment model depends on the solution or the size of the product which we are using, as the banks do have private and public clouds. In public clouds, we don't have much of the production instances. It's mainly the development. The free cloud and the cloud environment are completely on a private or in-house, on-premises solution with different ecosystems.

If a proper study has been done, and the solution makes sense for the company, I would recommend the solution. 

I would like to rate the solution at a seven out of ten. That consideration is mainly due to the fact that it covers a large portfolio of the product. It does have support for many other ERP tools. A lot of open customization is available and the product support team can help to customize the product. I've found this tool very useful and helpful on that.

I use the solution in my company for predominantly API response time. It is used to measure API response time.

New Relic is very slow, and the app is a bit frustrating to use, which is something that has been happening a lot in the past year. During the last six months, I have noticed that it has become extremely laggy. The irony stems from the fact that a tool used for performance measurement itself has so many performance issues. I think it has also become too crowded with too many features. I have been using New Relic for ten years, and over a period of time, it has added a lot of new tools and new profiles, which are great, but now the tool has become too crowded. Around 80 percent of the time, I use the tool only for basic use cases, which were all there even ten years ago. The tool has definitely improved the interface, which is good, but apart from the basic features that I need, there are all these features in the tool that crowd the tool's entire user interface, which becomes complex. I like Sentry because its main interface for error reporting and handling has always been very clean and focused while not being crowded with too many things, but I don't know about the solution's future. With New Relic, the tool seems crowded when it comes to its interface, which has too many features.

I have been using New Relic for ten years. I use the solution as an end customer.

It is a scalable solution. The product operates as a third-party or SaaS tool, so I believe that it has intra-scalability options.

The technical support for the solution is very good. I rate the technical support an eight out of ten.

Positive

My company has been using Sentry for error reporting, alerting, and monitoring.

The product's initial setup phase was very easy.

One person can manage the product's deployment phase. Once the product is installed, it doesn't require much maintenance.

The solution is deployed on a cloud-based infrastructure.

The solution can be deployed in less than a day.

I rate the product price a five on a scale of one to ten, where one means cheap, and ten means very expensive. I don't remember the product's exact price, but I know my company pays around 500 USD a month for two or three products.

For monitoring purposes, I would say that the product has a good interface for quickly finding performance bottlenecks.

The tool gives a detailed audit of every piece of code, like how much percentage of time it takes, making it very easy for me to first locate the APIs that offer the poorest performance and then go deep dive into those APIs to see which part of the code base of that API is causing performance bottlenecks. Instrumentation becomes quite straightforward and easy with the tool's features.

I don't use the alerting system in New Relic.

My company uses New Relic only when we want to instrument APIs and for performance improvements, but we don't use it for error handling and error reporting since we prefer Sentry for such areas.

I rate the tool an eight out of ten.