Cloud Infrastructure

⚠️ This repository is actively evolving and continuously extended with new scenarios and improvements.

This repository contains a collection of practical cloud engineering implementations built on Yandex Cloud, covering real-world infrastructure, security, and platform design patterns.

The focus is on architecture, system design, and implementation decisions, rather than step-by-step tutorials.

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Overview

The repository demonstrates hands-on experience with:

• Infrastructure as Code (IaC) — modular Terraform design
• Serverless architectures — event-driven pipelines and API layers
• Managed Kubernetes — cluster design, operations, and scaling
• Cloud networking — load balancing, segmentation, and fault tolerance
• Data platforms — PostgreSQL and ClickHouse in production-like setups
• Cloud security — IAM, KMS, TLS, VPN, and network isolation
• Observability — metrics, alerting, and monitoring pipelines

All scenarios are designed as independent but composable building blocks of a modern cloud platform.

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Repository Structure

Core Infrastructure

• terraform/ — Modular Infrastructure as Code (VPC, VM, PostgreSQL)
• packer/ — Golden image build pipeline (Ubuntu + NGINX)

Compute & Platform

• k8s/ — Managed Kubernetes (cluster design, RBAC, networking, autoscaling)
• instance-group-and-load-balancer/ — Declarative HA deployment via Instance Groups
• high-availability/ — Failure handling across VM, zones, and application layers

Serverless & Event-Driven Systems

• serverless-api-project/ — End-to-end serverless architecture (API Gateway + Functions + DB)
• async-file-analysis/ — Event-driven pipeline (Object Storage → Queue → Functions)

Data & Storage

• databases/

  • ClickHouse analytics and ingestion patterns
  • Managed PostgreSQL (HA + schema deployment)

• object-storage/

  • Immutable archive design
  • Static website hosting

Containers & Images

• docker-container-registry/ — Private registry, image lifecycle, VM boot from container
• packer/ — Reusable machine images

Observability

• observability/

  • Custom metrics collection
  • Alerting (e.g., high traffic detection)
  • Prometheus → Grafana integration

Security

• security/

  • IAM — identities, roles, least privilege
  • KMS — key lifecycle and encryption workflows
  • Network security — segmentation and traffic control
  • VPN — site-to-site secure connectivity (IPSec)
  • TLS & certificates — HTTPS and secure endpoints

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Engineering Approach

This repository follows several core principles:

• Modularity — reusable components (Terraform modules, service patterns)
• Isolation — clear separation of concerns between services and layers
• Security-first mindset — least privilege, encryption, network boundaries
• Failure awareness — high availability and fault-tolerant design
• Production-oriented thinking — realistic architectures instead of simplified demos

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Notes on Implementation

Some implementations are adapted and extended from official documentation and training materials, including Yandex Cloud resources.

However, all solutions were:

• reworked and redesigned
• deployed manually
• validated in a real cloud environment

The goal is not replication, but engineering interpretation and improvement.

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Visuals & Documentation

Not all scenarios currently include diagrams or screenshots.

This is intentional at the current stage:

• priority is given to working infrastructure and reproducibility
• visuals are added progressively for complex flows (e.g., serverless pipelines, networking)

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Disclaimer

This repository represents engineering prototypes and reference implementations.

It does not aim to be a production-ready system, and may not include:

• full security hardening
• compliance configurations
• cost optimization for large-scale environments

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Future Improvements

• Architecture diagrams for key scenarios
• Expanded observability coverage
• Deeper Kubernetes operational cases
• Additional failure and chaos scenarios

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