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Explore Architectures

Interactive distributed system diagrams with animated data flows

Browse by Topic

Databases

Redis, ClickHouse, PostgreSQL, OpenSearch -- internals, clustering, HA

Message Brokers

Kafka, RabbitMQ -- streaming, pub/sub, broker internals

Design Patterns

Circuit Breaker, Saga, CQRS, Cache-Aside and other distributed patterns

Networking

Load Balancing, API Gateway, Service Mesh

Infrastructure

Kubernetes, CI/CD, container orchestration

Distributed Systems

Consensus algorithms, capacity planning, load simulation

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[S3] ClickHouse over S3

ClickHouse with S3-backed SharedMergeTree: disaggregated storage, zero-copy replication, local SSD cache, background merges on S3

E-Commerce Microservices

Full e-commerce platform with API Gateway, Auth, Cart, Payment, and Notification services. Features 4 animated scenarios.

Big Data Architecture

Complete big data pipeline with Kafka, HDFS, Spark, and BI tools

Design URL Shortener

Классический системный собес — спроектировать TinyURL/bit.ly. Разбираем стратегии генерации ID, cache-aside паттерн, узкие места при масштабировании. Пилотный кейс нового /cases формата.

Design Rate Limiter

Классический system design — спроектировать rate limiter для защиты API. Token bucket, Redis-backed, atomic Lua. Пилот #2 нового /cases формата.

[DEEP] Raft Consensus Algorithm

The algorithm behind etcd, Kafka KRaft, ClickHouse Keeper: leader election, log replication, split votes, partitions

Kubernetes Cluster

K8s cluster: control plane (apiserver/etcd/scheduler/controller-manager/cloud-controller), workers (kubelet/kube-proxy/containerd), Service objects (ClusterIP/NodePort/LoadBalancer), workload types (Deployment/StatefulSet/DaemonSet/Job), CNI, RBAC + ServiceAccount, CRD + Operator + Helm, storage. 5 scenarios incl. service routing through kube-proxy and operator reconciliation. ADRs on apiserver/etcd/Service for k8s-vs-alternatives, managed-vs-self-hosted, etcd quorum, Service type.

[PROD] ClickHouse Production Architecture

Complete production-ready ClickHouse with Keeper, proper scaling, failure scenarios, and best practices

Cloud Data Platform (v1 -> v2 -> v3) RU

Облачная Data Platform на русском: эволюция v1 Lakehouse Core -> v2 Full Platform (CDC, Notebooks, BI) -> v3 Enterprise (Flink, Metadata Hub, Advanced Governance). Без IAM. Переключение слоёв.

[DEEP] PostgreSQL + Patroni HA

Production HA: Patroni + etcd consensus, streaming replication (sync/async), HAProxy failover, WAL archiving

Kafka Streaming Pipeline

Kafka producers, 3-broker cluster with ZooKeeper, Flink stream processing, and multi-sink delivery

[SYSTEM DESIGN] Instagram

Full Instagram architecture: post upload, feed generation (fan-out on write), social graph, engagement. Covers pre-signed URLs, cache-aside, CQRS, event-driven patterns.

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