We have a platform that is like an automation of DevOps. The company is getting into the DevOps environment and the primary hurdle for them is to choose the right tools. Our customers do not know if they get stuck with one tool if they could not easily move to another one.
Our platform, what it does, is we give them all the tools that connect to what they want. In that process, initially we integrated the options, like ELK and Nagios into our platform. Then, some of our clients also wanted Dynatrace in it. That is how we got Dynatrace also on our platform. So, we integrated their APIs into our application, so now all our clients can use Dynatrace too.
The most valuable feature is that I am getting business. My clients ask me something, I go to my technical team and tell them, "They want this and this." From my clients' perspective, Dynatrace below the dashboard is very good compared to other monitoring tools. The dashboards are a really cool feature when I get to talking to clients. I ask them, "Why Dynatrace?" Because I need to push the tools that I have in my application. Then, they explain the monitoring of Dynatrace, saying the rate of the updates and features. They want to go with Dynatrace.
Introduce a cool feature called "all monitoring", or something like that. It briefs an entire session for you, monitoring and replaying that entire session, so it becomes very easy. A cool feature which I can sell to my customers, which can drive more customers to Dynatrace.
For stability, our customers have no complaints.
We increased our Client to experiment with the tools, so we could find the right tools. Some of my previous customers whom we encourage them to switch to Dynatrace, they had no complaints.
I do not talk to technical support. Our clients talk to Dynatrace. All our clients inquiries are directed to Dynatrace.
My job is not to rest because my whole platform's aim is to move on to next to the tools, like finding out what is right for their environment. Initially, if I would ask them to go for Dynatrace. Then, after using it for approximately one month, I can tell them to find out what they like and what they do not like. They can go on from there.
AI is very important. The world is moving toward an automation. In the future, it is going to be a new Ops world. There is no resource for sitting on the operations side, so there will be an AI which will be doing all the work.
When we implement the solution, the developers just supply the code and all the automation that happens behind them. That is what they expect. For example, it needs to do its work in a formulation, then determine what kind of resources you need for that and what kind of servers we need for all that. Thus, AI is going to be a big thing.
If I had just one solution that could provide real answers and not just the data, the immediate benefit for the team is they do not have to spend time. So, the first thing is I don't have to bang my head about what is happening and where to find the solution. If I have something to use, which solves my problem. My life becomes easier.
Most important criteria when selecting a vendor: They should be very stable. Like most of the products in market, when they do updates, they break down. This will usually cause a slow down briefly to customers. This is where we will see if the product is stable or not.
The vendor should avoid rapidly giving updates every month without doing testing, because if you see in the past with AWS (for example) when they released the patches for the Spectre and the Meltdown problem, it affected almost every company around 20 to 30 percent of the parts went down. The companies did not know that the patch was up like that. Transparency is important, and also, test the solution before you actually implement it.