Dynatrace Reviews

The primary use case is to monitor and make sure all the crown jewel applications are up and running. If there is an error, then I will pinpoint what the error is, take it to the application team and developers, and ask them to fix it.

It is performing well, so far. So well that we actually had a company program wherein we wanted to promote Dynatrace for as many applications as we can. We have our hands on all the tools of Dynatrace, and whichever is the best fit based on the application, we go ahead. 

I can get everything on a single page. 

That varies from product to product. Every product has its charms. I like AppMon a lot. The new solution that they have, the Dynatrace solution, which is integrated with the browser plugin and agentless monitoring. That is pretty exciting. 

I would like to see AppMon also integrated in the Dynatrace portal. There are certain features, which I am not saying are not there in Dynatrace, but I am used to in AppMon. I would like to see something a bit familiar in terms of UI. It could be five to six clicks away (I don't mind), but something familiar would be helpful. 

Stability is pretty good. Comparatively, I do not see too many downtimes, and the response time is good. The communications for any downtime is also pretty much on time.

No scalability issues.

I have used technical support a lot of times, mostly for technical stuff. For example, on challenges that I am facing for configurations based on technical tools. 

They have been pretty helpful and very responsive, Compared to other tools that I have used in the past, Dynatrace's support has always been responsive. 

They were all scattered, because we were getting a lot of information from different tools, but no integration. Also, there were a lot of redundancies, so that is why Dynatrace is good, but there is still a bit of redundancy in Dynatrace as well. A little bit of it across platforms, but overall, it has been better than the other tools that I have used in past. 

Dynatrace has so many different tools, so some of them are a bit complex, like AppMon. However, your OneAgent, your browser plugin, and so on are pretty simple setups. 

We get access to the early access programs. So, we evaluate. We do PoCs, and based on our customer feedback, then we proceed. 

We were working with Catchpoint, because for the synthetic device management, it is simpler for Catchpoint. However, the setup and the configuration were so much easier than Dynatrace that we are still in a bit of debate on what to do. 

If you are looking to implement it, just go for it.

For cloud, AI has been pretty useful so far when it comes to IT's ability to scale. To manage performance problems, we have not actually used it.

If I had just one solution which could provide real answers, not just data, the immediate benefit would be continuous checks for a lot of hardware. There are a lot of applications, so if Dynatrace could provide this, that would be awesome. 

Most important criteria when selecting a vendor:  

• Performance
• Availability
• Scalability.

The company that I work for is huge, growing every day. So, I think availability and scalability were the primary parameters.

We have been working with Dynatrace primarily for observability. We utilize the solution across various industries, including retail, financial services, insurance, and manufacturing. Our focus is to provide comprehensive monitoring and observability as part of our managed service provider (MSP) offerings. We offer extensive customization and value addition to the data provided by Dynatrace.

The solution enables us to deliver tailored services to our customers, including generating customized measurements, KPIs, and dashboards. This enhances our ability to provide detailed and valuable insights to our clients.

The observability provided by Dynatrace is extremely valuable. It allows us to achieve transparency and gain comprehensive insights into our operations.

The pricing model of Dynatrace is somewhat confusing. Currently, the industry is adapting to a consumption-based pricing model instead of a traditional licensing model, which might take some time to get used to.

We have three years of experience working with Dynatrace.

The scalability of Dynatrace is extremely easy.

I cannot provide specific details about their technical support as I am not in charge of that aspect.

Positive

Our company adds substantial value to the solution, making the pricing fair and providing significant value-added services to our clients.

The shift to a consumption-based pricing model from a licensing model is something new. Customers need to adapt to paying per consumption.

The value of Dynatrace is in its observability feature, but understanding the pricing model can be intricate. Ensure you have a good grasp of how the consumption-based model works.

I'd rate the solution nine out of ten.

Dynatrace does application and platform diagnostics and monitoring and user experience management. Typically, in our region, we are seeing a lack of deep application platform management tools because most of the customers in our region don't use those tools.

We are using Dynatrace Managed and Dynatrace SaaS. It is the new Dynatrace. They had a legacy product called AppMon, but nobody is using that now.

Our customers mostly have on-prem deployments. In terms of the version, I always use its latest version.

The most valuable features are ease of deployment, UI, and collected data. Its deployment is really easy. In just a few hours, you can have a very good outcome, and you can see everything, which is very valuable. It collects a good amount of data.

It is one of the most easily deployed monitoring products that I have seen in terms of scalability and installation. In 60 minutes, it is installed, and if you want to scale it, there are no issues. You just add another node, and in 15 minutes, it is done.

It is very stable. Our customers didn't have any issues with it in the last four to five years.

The licensing part is complicated or not transparent. It is very difficult to assess the number of licenses for a prospect. You have to do a PoC, and calculating the number of licenses for two years or three years is sometimes very difficult. It also depends on each case. There are multiple types of licenses. Sometimes, you need only one of them, and sometimes, you need all of them. This is an area for improvement.

I have been using this solution for five years.  I'm a certified professional for Dynatrace, and I work for a Dynatrace partner in Europe.

Its stability is awesome and perfect. It is much better than the competitors that we have evaluated.

Its scalability is awesome. It is really easy to scale in any direction. For SaaS, you don't have to think about scalability, and for on-prem, it is very easy.

It is mostly on-prem, and we have the largest US companies as our customers. The largest deployment has 200 to 300 users. They are not concurrent users.

Their support is awesome. I get valuable answers from their support for all my tickets.

I mainly have experience with IBM products. We stopped partnering with IBM because it was not suitable for this market. IBM is ten years behind Dynatrace. You can't compare them.

Its deployment is really easy. It is one of the most easily deployed monitoring products.

Its maintenance is minimal. I worked with competitive products for more than 15 years. So, I can compare them. With Dynatrace, one agent is required. From time to time, there are issues that are typically very specific to the monitored environment. We have customers who have been using all the updates of all the agents for five years, and they have had no issues. Typically, when we have an issue in one of our environments, it is tied to the monitored application platform. We had no issues with Dynatrace.

Its licensing is complicated or not transparent.

I would definitely give it a nine out of 10.

We use Dynatrace as an analytics and monitoring tool. It is on-premise at the moment. We're looking at using the cloud-based one in the next year or so. We're in the process of migrating over to the cloud-based one.

The Davis artificial intelligence built-in program is valuable. It keeps all the information about the systems, connections, service calls, and requests in its database. It looks at response times and keeps everything in check with baseline figures. If anything goes outside of that baseline, it reports based on that. If the performance starts degrading, it reports on that. Before something breaks, it tells you that it is going to break, and that's the most useful feature of Dynatrace.

It is useful for analytics, web performance, end-to-end coverage of a user experience, and database analytics. It is absolutely a monitoring tool that is worth having. The visibility that it provides is a unique feature of this product.

Its price, for sure, should be improved. Its price is quite high. Other than the price, there are always improvements to be made as technologies change. When we move into cloud-based technologies, Dynatrace will also have to adapt so that they can monitor those as well. It should have the adaptability to quickly transform to monitor those new technologies.

I have been using Dynatrace for the last six years.

Currently, we have around 2,000 to 3,000 users. It is very extensively used. We are covering all our production systems and major revenue systems with Dynatrace. It is our primary monitoring system.

Their technical support is brilliant. They are online 24/7. You go into a chat window, and you talk to their support people. They can connect directly with your system and monitor it. They even tell you if something is wrong. It is the best support that I've ever had on any monitoring system. It is not just you monitoring it; it is them monitoring it as well at the same time.

Its installation is extremely easy. You just install an agent on the server. You can just follow the default installation. As long as you've got your system set up and your architecture set up to connect those agents into your Dynatrace cluster, everything is done within minutes.

I do it by myself. I'm a systems administrator. I take care of its deployment and maintenance. I build the system, and I connect the system to other systems. Any user who is trained on how to do it will also be able to do it.

Its price is quite high. Although it is worth it, it would be better if its price is reduced.

They base their prices around licensing. Their prices are based on agent licensing and consumption licensing. Both of these can be a bit cheaper, but if they are the best in the market, as I consider them to be, I assume that their prices will be higher. They are delivering the product for that price.

I would absolutely recommend this solution. There is no better product on the market. 

I love Dynatrace. I might be biased, but I would give it a nine out of ten.

Dynatrace is an extremely helpful APM solution in large, complex environments, whenever we need to have an integrated vision of our users, infrastructure, and applications. It excels when we need to do all this with the lowest resources possible, with the best data quality, across all layers, and with the least management overhead. 

The first time I came across Dynatrace, I simply remember the WOW factor. Being a performance enthusiast since the mid 80's, I cannot remember more than a handful of such technical experiences!

Dynatrace excels in troubleshooting scenarios. You do not get samples or gaps. You get the real thing. That is absolutely important when troubleshooting the strangest situations.

Focus on root cause analysis has dropped significantly for the importance of alerts. I was used to be drowning in alerts, but now have refocused. I still have them, of course, but now they are about minor things. I see myself getting rid of them very soon.

The most valuable feature is Dynatrace's commitment to bringing in new features. It is very difficult to keep pace with the new developments that are always occurring.

The OneAgent technology is one of the most important features. You install it, no configuration, and it just does all the stuff for you. It automatically detects whatever is happening, and even gets to automate JavaScript injection across different web server technologies. You can have tag management, but you can even forget that, because that is fully automated, too!

Given the full-stack approach, you are able to view from the end user perspective, almost down to the bare metal. It gives you all the way from the user perspective, network experience, web and application server view, application detail, process detail, operating system detail, and you even get to manage virtualization and datacenter support.

Dynatrace is capable of following all user actions across all monitored infrastructure, even to systems not monitored, but interconnected. This technology is known by the name PurePath, and being able to do this sometimes feels like magic. I have been told, time and time again, by very knowledgeable IT personnel, that this is not possible. Sometimes, you have to see it, to believe it.

One of the most promising features is the AI capability. I have seen some of its capability in production environments, and it is pretty impressive! It is not a marketing buzzword being abused, but it actually works. Being able to offload problem handling and root-cause analysis, and get to the point analysis of complex systems is something that I have not seen with my eyes, and in this depth, in any other IT solution to date. 

Dynatrace's online presence in APM "education" is second to none. Viewing the YouTube online videos, hearing the PurePerformance Podcast, getting to learn in Dynatrace University, and following the documentation is like being in performance heaven! You just can't grasp it all!

In the new Dynatrace solution, support for legacy applications is still not there. Given there is excellent support of legacy applications and protocols in the Appmon & DC RUM offers, they have the knowledge to put it there. Knowledge that their competition simply doesn't have.

One to three years.

Not seen one stability issue since I been dealing with it.

No issues with scalability. The solution is multi-tenant and based in Big data technology.

What impresses me more is the ability to be able to analyze 100% of all activity going on, and do that with so low overhead. I have not been able to observe more than 1% overhead, despite Dynatrace saying that it can be slightly higher in some situations. I sometimes get the impression that overhead might be negative (underhead?), because you can get rid of inefficiencies like log dumping, that typically have high (disk and CPU) overhead.

Support is just great. Part of it is public, so everyone can check it out. Dynatrace direct support is even better, and you sometimes get direct answers from the teams that are implementing the functionality.

I have worked with other APM, IT, and UX monitoring solutions before. None of them is even near what Dynatrace has to offer.

Never seen anything so complex be so simple to install.

Directly implemented.

Pricing can be high, especially for Portuguese standards. But as one says, you get what you pay for.

Setup cost is very low considering that it is an almost totally, automatic process. Installing SaaS or Managed is only some minutes away. Given that there is no configuration involved in the agents, you can develop how many you want per hour. It only depends on your IT deployment strategy. TCO is thus much lower than expected. Licensing is very interesting, as you pay only for what is being monitored. A lot of things are given away for no additional cost. If you have a great IT consolidation, it will be pretty cheap. If you have a lot of servers, it will be heavier.

Since you cannot manage what you cannot measure, I do give the most importance to data quality. This is priceless. If you manage based on bad or incomplete data, you are leaping into the bad decisions direction.

The return might just be immediate. You install it and after minutes you are getting the full data in. The other day I compared Dynatrace to another APM solution, and the other person had been struggling nine months to get the data out. When he saw what Dynatrace did out-of-the-box, he simply could not believe it.

Finally, be prepared to be surprised! It is very fast pace. The Session Replay and the Augmented Reality are just two recent examples. Almost every day I get some new perspective in this field, like AIOps, and it just keeps getting faster! 

When we first got Dynatrace, it started just as a developer's tool. As we used it more and more, we started using it not only for applications but for hardware. Now we're using it for servers. it's evolved over time.

The use cases are monitoring, alerting, triaging, and for statistics and dashboards.

It's basically used to make sure that everything is running okay. You can check dashboards in each group. The DevOps group can use the dashboard and say, "This is how my code is working." So it's more peace of mind, and to keep things available, which is really important to us: availability and reliability. That's what it's being used for.

At product start-up, it was not very visible at first. But now, since people have actually been using the product, and they've actually seen the visibility and what it can provide, it's doing well. So that's why we're deciding to upgrade.

We've had the product for about eight years now. They started using it more and more, so the company decided to invest in it more and more.

Right now in an AppMon, when you have DevOps teams looking to see where transactions are going through from business transactions, and they want to set up measurements to see how things are. And dashboards - dashboards are extremely important now. Thresholds are important.

After today, at the Perform 2018 conference, I can say more because I can see, even though we're AppMon 6.5 now, and we're going to Dynatrace, I was really impressed with everything I saw. The fact that I was impressed, and I was seeing everything, what the future looks like, made us feel like we made the right choice as to what's going on.

Dashboards is one, troubleshooting is another. I come from the monitoring perspective, so the ability to triage quickly is important, and the ability to alert and tell people where the problem is, that's what I really like about the product.

I haven't had a chance to go through all of it, but I would like to see the ability, from an administrative standpoint, for it to collect statistics. I want to be able to see the servers that the agents are installed on. I want it to be able to start doing collections for me by platform: How many Linux servers do I have? How many Windows servers do I have? Statistically give me the information of how things are performing, but I want that in a dashboard, where I can look at a dashboard and I can look at a section. So the ability for me to drill down will make it easier for me.

Ours is pretty stable, being that we have AppMon. We have collectors and DTs in there, they're load-balanced all over the place. And every now and then we have issues, but it's been pretty stable. It has to be, because it's being relied upon more and more. If it was not stable then management wouldn't say, "Okay, we're going to go this direction." 

Stability is extremely important because when you're in my business, you need to have data available 24/7. If I have systems that take a hit, and I can't depend on my dashboard to pull up data, then that's a problem. And if they can't triage, then that's a problem.

We have encountered downtime. When we have downtime we look at it and say, "How quickly can you get it up?" The good thing is that when we had downtime, we also had load-balancing in place. If you have that in place that really helps out, because then you go from one to another. It doesn't mean that it wasn't down, but it wasn't down long.

We can't afford to be down, because being down costs money. Everything is equated to money, to some degree. If this tool is not available during this time, how much money am I losing because I can't triage it? How many resources am I using? We've had some downtime, but not much. Even when you do maintenance, it's done a certain way.

Nothing is 100%, but it's pretty reliable. It had to be impressive enough for our management to allow us to invest into it going forward.

It scales pretty well. I'm from a pretty big company. The solution started out small and scaled out, because we have a lot of collectors.

We scaled up. The good thing is, that's where Dynatrace SaaS is going to come in, when you look at what it's costing us to maintain the hardware on-prem, and do the analysis. 

Scalability: We're always building more applications. And the fact that we can get rid of a lot of hardware and run that tool is really important.

Scalability is really important with growth. You need something that can scale quickly and not have to go through this whole process. It's one thing to look at it and do an analysis and say, "Okay, I need to scale." But, it would be easier if you could look at something and put in a formula and say, "Alright, we can scale based on this." Or something that could tell us. "You're at a point where you need to scale," so that would help out.

It's easier when you can get to a level-2. We've had guardians on site for a while. Because we've had guardians on site they made it easier for us to get to support. So we know how to navigate support. 

From my perspective, support has been quite satisfactory, because it's not like we're a novice going at this. We understand, these are the people you need to talk to. And they recognize the urgency when you're calling. So, I feel comfortable with saying support has been pretty good for us.

I wasn't involved in the initial setup, but since then we've upgraded so many times. The upgrade is pretty easy. Complexity comes in when you have to schedule things. If I have a DevOps team that's in prod, once we were able to actually cookie cut the upgrade process, it was easier.

It also depends on the different platforms you're dealing with. You're dealing with Windows versus Linux, and you have to inject code into certain places, that's an issue. 

I'm glad when Dynatrace says they have a different agent, because I wasn't crazy about the agent, the way we were deploying it. Not only me, but you have people who are quite protective of their code, and if you've got to inject an agent, they're not really comfortable with that. But with the new agent, that makes it easier for me too. That's another reason I was happy, that's one of the things I asked about: How are we doing the agent? Even though we were automated, there were still some configurations. But with this new product, it seems like deploying agents is going to be awesome.

I'm excited because I like the AI piece. I want to get rid of the thresholds piece. That's part of the excitement as to where we are going to go, because a lot of the conversation occurs when you have to say, "What's the real threshold based on the applications that we have?" We have over 500 applications, easily. Each one has its own behavior. Then everyone wants to discuss a threshold. Now, I'm thinking, with Dynatrace SaaS, we don't have to do that anymore. Bit it will be awhile before we get there.

AI is really important. We're on-prem right now for hybrid to go to the cloud. So when you have the numbers and trends based on what AI can do, it helps you along the way. I can run reports and see the things that I need that will satisfy my customer, that will make it easier for me. We are looking towards the cloud, we do have applications up there. It becomes a sizing issue, as far as what do you need, because you have to pay to be in the cloud. So AI is really important because it will not only help us troubleshoot, it will actually predict some of the things we need to help us get there. I can't put a number on the importance of AI right now.

It's going to change a lot of analysis and things that you have to do. The one thing I would like to see is what's involved in setting up the AI. Because I'm excited about it, I want to see what's involved in setting it up, and see that component.

Regarding siloed monitoring tools, portability is one of the challenges. Siloed monitoring tools make it really hard to port out to other places. You get data, but you can't necessarily use it as far as fitting it into other areas. That's the problem with siloed monitoring tools. If you're good for that scope then you're okay, but when it's time to go beyond that scope... Going enterprise-wide is important. So, where siloed monitoring tools were okay at the time, they're just not keeping up what's going on now. The monitoring field is evolving. It's more than about just monitoring. Monitoring is one thing, alerting is another thing. But the AI part puts it together, makes it easier, not only for you to do your job, but the self-healing piece that goes with it. That's really exciting, when things can self-heal and then just report on it. That makes life a lot easier.

If we had just one solution that could provide real answers, and not just data, the benefit would depend on how you look at a benefit. First of all, we would be more efficient. However, I'm not sure if it would help from a resource standpoint, because then I'm not going to need all those resources, if I have a tool that's going to do everything I need. But, it would help in the sense that, if I can resolve something like that, and things fall into place. That would greatly help. And not only that, then I could just depend one tool. Right now, people look at a solution as, "I need a tool for this, and a tool for that." But if I can move towards one tool that will provide me everything I need, then that would be great.

Our most important criteria when working or selecting a vendor: Of course, there's always cost. Stability is another. The amount of time they have been in the market. Then we do a PoC and see if they can meet the use cases that we have. We have a standard, some 125 use cases that we put out there. We see they perform based on those use cases. It's completely agnostic. I don't care who the vendor is. Can they meet my use cases? Do they have stability? Do they have the reputation? And then we negotiate cost.

Right now, the solution we have in place, I would give it about an eight out of 10. Things are changing, technology needs to change. It's been doing a job, but I mentioned the things I asked for. I'm looking for more, so that's probably why an eight. It's doing the job, but I'm looking for it to go further. 

They have a new product that's going to go further, so that's how we do it. Now, the new solution, I'm not sure how we're rating it yet. I have to see what it's going to do. 

But would I recommend it? Yes. Because we have the experience, it has done this and this for me. Can I depend on it? Yes.

If a colleague at another company was looking to implement a similar solution I would need to know they were looking for before I could advise them. I would tell them from my perspective, this is what the tool has done for us. If they ask me the questions, I'll tell them exactly what I think. At this point, would you recommend this solution? Sure, because it does this for me. If you're looking into looking at code, at that part, yes it does that for me. If you're looking for monitoring, yes it does that for me. I would recommend it. 

We are using Dynatrace for application monitoring. 

In the past, we would spend more time on identifying the root cause and finding the solution. After implementing Dynatrace, we easily see that we are capturing all the exceptions. Just build on the error message, then we usually quickly fix it.

Dynatrace is performing well so far.

We have identified some critical issues, which are not available or recreatable in the Dev or QA environment. They are only happening in production, and they are easy for us to identify in the production environment. We can usually identify issues and fix them.

The data monitoring is good for us, and also the performance monitoring. We have been using both extensively for the last three to four months. We have been capturing all the information and evaluating whether it can be improved or not.

Since we have been receiving alerts from Dynatrace, we go ahead and fix them without the user knowing about them. Sometimes the users never know that they are having issues and they are stuck. So, in 10 minutes, we fix it and business runs as usual without any problem.

I am able to identify issues very quickly.

I just heard about the management zone. I also got some hands-on with the early version. I feel it is a good feature to handle integrating all the services together in one place.

So far, the stability has been good.

Not yet, we started just six months before. Right now, we are on six to seven applications been monitored. 

We started implementing microservices. Microservices means now it is hundreds of services. In the future, maybe in three to six months, we are expecting thousands of services will be implemented. In this way, the solution will definitely help us to identify the entire thousands of services that need to be monitored. So, it will gives us some alert and we build on it.

We did use technical support in the initial phase when we were struggling to get into the tool. We felt they were knowledgeable.

They do have a salesperson we can contact in India.

Our switch to Dynatrace was very internal. We got a different management team, and the new management team came in and decided that we needed Dynatrace now. They had experience with it already. They knew that where we were facing issues on monitoring side.

There were some other monitoring tools, like SolarWinds. However, the new management team felt that Dynatrace would be the perfect for us.

We were and still are using SolarWinds as a monitoring application.

I was not involved in the initial setup or upgrades.

I would recommend doing a PoC.

Before adopting Dynatrace, we were evaluating multiple systems, such as AppDynamics and SolarWinds.

I am not much into the area of AI, but I still see it removing some of the non-value added work which we are doing daily, such as sitting and monitoring the server, which is not a value addition. AI is an area where we get somebody to watch it, we get alerts, then we act on them instead of just going through all the locks. Especially IoT side, even though I am on the development side, still we concentrate on AI and IoT, where we see more focus and we just started learning all those things, and implementing them in our company.

If I had a solution which would give me a real answer, not just a data, the immediate benefit would be a global application and support, because we are working in Asia. Sometimes we get incidences during the US morning when we are not at the office. If I can get the benefit of a solution, which can alert us and solve itself. It is an automation thing where we do not want to wake up late at night and work on the application.

Most important criteria when selecting a vendor: A vendor should be reachable at any time.

We are using it in an operational mode, when we have trouble easily getting the root cause, getting the application back up and running. 

Based on that, the product has worked very well for us. We are happy with it.

It's really opened our eyes. We had point solutions where we could see different elements of the stack, and Dynatrace ties everything together. Before, we could never get that full-stack monitoring. It prevents that, "Oh, it's your problem. No, it's your problem," type of an issue, and it allows us to get to that problem.

It also helps us get us the context of the customer experience. What's the business impact of those problems? And we've never had that before. That has been good.

• Ease of use
• The full stack - Everything from the browser, all the way back to the database, and being able to see everything, and really narrow in very quickly on what is the root cause. That's the biggest bang for us.

Where we are struggling is being able to pull that information out and combine it with other contextual information that we have in other sources. Mining that data in a big-data environment, and joining it together and coming up with larger types of analysis on it. Big-data types of issues. We're still blazing a trail, trying to figure that out. But it's not as easy as some of the other things we've been able to do with the product.

Very stable. Very happy with it.

We have a lot of our infrastructure on it, so it's meeting our needs, for our enterprise. We have thousands of agents that are out there in over a thousand applications, and it's meeting our needs with that.

I think it's good. They are very responsive and get back to us. They try to give us workarounds and follow up with us. So, we're happy with that.

We have an infrastructure group and I'm more on the business-unit side, but I was part of our PoC as we brought it in, and stood it up. Generally, it was very easy to get it set up and get going very quickly. It was pretty easy. We used some of the Dynatrace sales team and the engineers to help us get it set up, but in short order, we had it going.

AppDynamics and New Relic were the other two.

We were never able to get AppDynamics working in our PoC. We couldn't get it working on our web servers. New Relic didn't meet some of our shortlist criterion.

Regarding the nature of digital complexity, I think the role of AI is becoming more critical when it comes to IT's ability to scale in the cloud and manage performance problems. It's because of the complexity and the number of elements that are out there, and being able to completely understand what the problem is. There was a good quote from one of the last keynote presentations here at the Perform 2018 conference: "Let's not chase $500 issues. Using AI allows us to go for those bigger issues," and look for more value, rather than worrying about all the little things that happen. AI would give us the ability to handle that low-level work, very quickly - the auto remediation - get that back up and going. It would buy us time to do higher-level work.

We've used a lot tools at our company, including siloed monitoring tools. Some of the main things we're seeing with them are gaps in the ability to handle emerging technology; things like single-page applications, Angular applications, single sign-on applications, those types of things.

When looking at purchasing an APM solution, we wanted something that was a proven leader. We looked at industry review rankings. Did it support the technologies we develop our applications on? Can it give us that full-stack view into our architecture? Can it tell us what's going on with the customer experience? Those types of things.

If I had a friend looking to adopt an APM solution, I'd really have him take a look at Dynatrace. It's an industry leader. We've had a great experience with them. It meets our needs. They're future-looking. Even though we're not where they are in terms of the capabilities they have, we know we're going to need those capabilities in the future. Great product.