Episode Details

This conversation covers:

• How Bloomberg is demystifying bond trading and pricing, and bringing transparency to financial markets through their various digital offerings.
• Andrey’s role as CTO of compute architecture at Bloomberg, where he oversees research implementation of new compute related technologies to support kind of our business and engineering objectives.
• Why factors like speed and reliability are integral to Bloomberg’s operations, and how they impact Bloomberg’s operations . Andrey also talks about how they impact his approach to technology, and why they use cloud-native technology.
• How Andrey and his team use containers to scale and ensure reliability.
• Why portability is important to Bloomberg’s applications.
• Bloomberg’s journey to cloud-native. 
• Some of the open-source services that Andrey and his team are using at Bloomberg.
• Unexpected challenges that Andrey has encountered at Bloomberg.
• Primary business value that Bloomberg has experienced from their cloud-native transition.

Links

• Bloomberg
• Bloomberg GitHub
• Follow Andrey on Twitter
• Connect with Andrey on LinkedIn

Transcript
Emily: Hi everyone. I’m Emily Omier, your host, and my day job is helping companies position themselves in the cloud-native ecosystem so that their product’s value is obvious to end-users. I started this podcast because organizations embark on the cloud naive journey for business reasons, but in general, the industry doesn’t talk about them. Instead, we talk a lot about technical reasons. I’m hoping that with this podcast, we focus more on the business goals and business motivations that lead organizations to adopt cloud-native and Kubernetes. I hope you’ll join me.

Emily: Welcome to The Business of Cloud Native, I'm your host Emily Omier. And today I'm chatting with Andrey Rybka from Bloomberg, thank you so much for joining us, Andrey.

Andrey: Thank you for your invitation.

Emily: Course. So, first of all, can you tell us a little bit about yourself and about Bloomberg?

Andrey: Sure. So, I lead the secure computer architecture team, as the name suggests, in the CTO office. And our mission is to help with research implementation of new compute-related technologies to support our business and engineering objectives. But more specifically, we work on ways to faster provision, manage, and elastically scale compute infrastructure, as well as support rapid application development and delivery. And we also work on developing and articulating company’s compute strategic direction, which includes the compute storage middleware, and application technologists, and we also help us product owners for the specific offerings that we have in-house. 

And as far as Bloomberg, so Bloomberg was founded in 1981 and it's got very large presence: about 325,000 Bloomberg subscribers in about 170 countries, about 20,000 employees, and more news reporters than The New York Times, Washington Post, and Chicago Tribune combined. And we have about 6000 plus software engineers, so pretty large team of very talented people, and we have quite a lot of data scientists and some specialized technologists. And some impressive, I guess, points is we run one of the largest private networks in the world, and we move about a hundred and twenty billion pieces of data from financial markets each day, with a peak of more than 10 million messages a second. We generate about 2 million news stories—and they're published every day—and then news con