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#Engineering

Code of Leadership 35 - Interview with Eugene Kozlov about SDLC (Category Engineering)

#Engineering #Architecture #Software #ProductManagement #Management #Economics

In the next edition. podcast An interesting guest came to me, Evgeny Kozlov, with whom we work in T-Technology. Zhenya is Staff Software Engineer and leads the development of the Statist analytical platform. https://www.tbank.ru/career/technologies/statist/ This is where we went with other solutions like Amplitude, Adobe Site Catalyst and others. Zhenya is interested in high-load server systems, performance issues, database management systems, and data warehouses. Zhenya runs an interesting channel @careerunderhood

In an hour we discussed the following topics:

  1. Work on the platform product "Statist"
  2. Importance of professional communication and cooperation
  3. Personal history of Zhenya and his choice of career path
  4. Why we need fundamental education and how it helps in software development
  5. Career path: from Ruby to C#, and then to Go
  6. Why Ruby was good and why its popularity fell
  7. Feature of working with asynchronous backends, which Zhenya got acquainted with while programming on Ruby Transition to T-Bank and Skills Development
  8. The future of programming is important not to know the language, but to be able to solve problems with its use. n
  9. The importance of broad interests and knowledge base

Recommendations from Zhenya for study 1) The Pragmatic Programmer, 20th Anniversary Edition A book about the best approaches to software development, an updated version of the classic work for modern programmers. 2) Cloud Native programming. Microservices, Docker and Kubernetes (2- The publication, 2022) A compact book about creating cloud applications using microservices, Docker and Kubernetes.
3) Scalability Rules: Principles for Scaling Web Applications A guide for startup engineers on scaling web applications. 4) Fundamentals of Data Engineering: Building Reliable Data Systems A book on the basic principles of designing reliable data processing systems. 5) Database guide A detailed guide to the architecture and algorithms of modern database management systems

The podcast release is available in Youtube, VK Video, Podster.fm, Ya Music.

#Architecture #Software #Engineering #ProductManagement #Management #Economics