Raghav: I’m with Mike at the Microsoft Startup Showcase. What does your company do?
Mike: Sure. At Blue Medora we’re focused on IT performance monitoring. We’re separating out the data collection component from the data analytics piece in the IT monitoring space.
Raghav: Another question for you. If your company was an animal, what animal would that be?
Mike: If we were an animal, definitely a mountain lion.
Raghav: Why is that?
Mike: You know because we are very aggressive, you know, and we’re resourceful.
–transition to Mike’s demo presentation–
So 15 years ago, there was a major shake-up in Major League Baseball. It’s a story you may have heard before. It involves the Oakland Athletics. It was the early 2000s and they were really struggling. They had gone through a change in ownership, but more importantly, their budget was cut from down to about one third the budget of competitive Major League Baseball teams.
So they were desperate to find a solution. To find a way to maintain their competitive abilities in a league with limited resources. So what they ended up doing…and just to give you some context…Major League Baseball in 2000 was still very traditional. They were focused on subjective analysis. A lot of times they were looking at gut instinct from a scout to select a team. What (The Athletics) did instead, was go the opposite direction and take a very data-driven analytical approach to build a team.
It is probably no surprise to anyone in this room that if you take an analytical approach to an industry that is very data averse good things happen. And that was the case here. The Athletics won, or went to the playoffs, three years in a row. When this approach was taken to the Boston Red Sox, they won their first World Series in 90 years. This was a very successful change in the industry.
My question…when I’ve read about this…when I learned about this was… “why did it take so long?”
If you look at this guy, name is Bill James, and he was the founder of the analytics revolution in baseball and he started this 20 years earlier in the late 70s. So none of this was new, he came up with the analytical approach, he had the theories behind it. He developed new statistics and yeah it took 20 more years for this to happen. The reason is he didn’t have the data, the data wasn’t available in a reliable consistent way to teams and to others that were trying to to change the game. It wasn’t until Bill James created a new company that was called Stats Inc, it was focused entirely on gathering the data and providing it to teams, providing it to vendors and media. That’s when they were finally able to change the game of baseball.
My name is Mike Kelly I’m the CTO of Blue Medora, and at Blue Medora we’re focused on IT performance monitoring. Specifically we are changing the environment, we’re separating data collection which is what we do, from data analytics which is what our partners do.
And the story I just told you resonates a lot with me, in particular, because this is very similar to what we see in the IT monitoring space. So if you imagine you are a large corporation, you have a large IT environment. You have many data analytics platforms that you’re using to try and manage those, trying to understand the health of that environment. And we’re seeing massive changes and those those platforms, they’re using machine learning, they’re much much better than they were several years ago at identifying anomalies, and detecting performance issues inside of an environment.
But the challenge is still they only see a small amount of the data, they only see a small amount of the different technologies in a data center. So for example, you may have databases, you could have hardware, you could have business critical applications…looking at a cloud environment. All of those mix together and make up your IT environment and at this at this point they typically do a very poor job of getting all that data to your platforms.
But a blue Medora we’re changing that, specifically with a SAS platform called BindPlane and this is expanding the aperture of IT analytics. Our platform, it’s not an analytics platform, but it gathers over 100 integrations for different technologies again across database infrastructure like—compute and storage and network&mdash:across cloud providers, pulls them all together into a single solution. It’s best in industry and depth of data not just the breadth. So what you saw before we go far deeper into those different technologies, and not just that but we add on a layer of relationships and this is where it gets very interesting especially for analytics.
Let’s say that you’re running a database, a SQL server database, that’s running on maybe it’s a virtual machine inside of all inside of a data center, maybe it’s on compute and you have storage attached to it. Instead of showing those independently, we connect them all together and build a relationship map that shows you how all of those are tied together. And this is critical when you’re trying to analyze and identify where cascading failures could be an issue. And last of all since this is our entire focus, we’re able to make this very simple to configure, simple to manage updates.
So let me show you briefly how that works with a quick demo. This is our BindPlane SAS service. In this example, it’s an overview it shows you three different data centers that we’re monitoring, two cloud one on Prem, each of those has dozens of different technologies and it’s streaming data to three different analytics platforms. We’ve made it really easy to add any of those 100-plus integrations, you can do it in just a moment. You don’t have to go to a server and configure it, and even better you can add a new analytics platform. We’re gonna do that right here, we add one more analytic platform, where we’re gonna stream data to Microsoft OMS. The view clicks, just a couple minutes, you’ll see that this has been added. It shows up in the overview as a new analytics platform and all the data that was configured. It’s now getting sent to Microsoft OMS.
Now we’re jumping over to OMS this isn’t BindPlane, this is Microsoft Product and Azure. And all that those metrics are now available to you, in your preferred analytics platform on Microsoft whether that’s Postgres, you can monitor Postgres. We have an example of Kubernetes. But not just that, everything that I just showed you is all available now. So Blue Medora, we’re really trying to unlock the potential in IT monitoring by decoupling that data collection from data analytics. If this is something that’s interesting to you.
I’d love to chat with you after this talk maybe in the back, and thank you so much for your time.