LectureHSE · May 23, 2026
Cloud Technology Basics
A basic introduction: what cloud is, which service models exist, and why it matters for AI business
/ Cloud Technology Basics · HSE 2026
Slide contents
1. Cloud Technology Basics
A basic introduction: what cloud is, which service models exist, and why it matters for AI business
2. Alexander Polomodov
Technical Director & Fellow, T-Technologies
Architecture and engineering practices
AI in SDLC and R&D
Basic vocabulary for cloud
3. From cloud mechanics to financial markets
Four cloud layers
Why platforms attract
Cloud in financial markets
Edge and blockchain
4. 01. Cloud technologies
A resource pool, four layers, and three service models
5. The cloud is a dynamic resource pool
A consumption model, not hardware ownership
Resources available on demand
Configuration changes dynamically
Pay-per-use charging
Provider commits to an SLA
6. Each layer screens off the complexity below
Hardware → Infrastructure → Platform → Application
7. The service model sets the responsibility boundary
8. 02. Why cloud is attractive
Business needs the top; the platform owns the base
9. Business only needs the top layer
10. Kubernetes screens off lower layers
Declarative deployment description
Large community and ecosystem
Fully managed in public clouds
Open source lowers vendor lock-in
11. Platform frees product at a cost
Product team
Focus on business features
Fewer infrastructure details
Platform team
Reliable foundation
Platform development and support
12. 03. Cloud in financial markets
BaaS, nine services, and four market roles
13. BaaS sells a ready business process
14. The regulator counted nine cloud services
From infrastructure to a cloud marketplace
Infrastructure, security, data exchange
Accounting and payment access
Blockchain applications and RegTech
Financial supermarket and marketplace
15. Roles differ by their core competence
16. Rules are catching up with technology
Adoption was low in 2018
Risk-management rules were missing
Restrictions later became softer
Hybrid choice remains contextual
17. Five constraints shape the capacity mix
CapEx versus OpEx
Resources in the required region
Non-functional requirements
Regulation and migration cost
18. 04. Additional context
Edge computing and distributed ledgers
19. Compute stretches from devices to the cloud
20. Blockchain registers and validates transactions
Some nodes initiate transactions
Other nodes validate them
Logically there is one chain
Immutability simplifies replication
21. The difference is the trusted third party
22. 05. Further reading
Sources explicitly named in the talk
23. Four anchors for continuing
van Steen, Tanenbaum — Distributed Systems
Bank of Russia — cloud in finance
Maslow's hierarchy of needs
Blockchain Basics — book review
24. Cloud moves responsibility upwards
Layers separate apps from hardware
Platforms free product teams
BaaS abstracts a business process
Finance constrains choices through risk
Edge and ledgers widen distribution