Distributed Systems

Distributed Data Migration Framework

Migration and compatibility patterns for distributed data systems, including dual-read and dual-write flows, TTL propagation, failover-aware clients, schema-aware transitions, and operational tooling.

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Architecture

System map

Editable project architecture map showing the main surfaces, services, data layer, runtime, and operational signals.

interface

Users & Admins

01

api

Web / API Edge

02

service

AI Platform Services

03

database

Cassandra + Redis + Postgres + Elasticsearch

04

infra

Cloud Runtime

05

ops

Observability Stack

06

Flow

Users & Admins→Web / API Edge

requests

Web / API Edge→AI Platform Services

routes

AI Platform Services→Cassandra + Redis + Postgres + Elasticsearch

reads/writes

AI Platform Services→Cloud Runtime

deploys

Cloud Runtime→Observability Stack

signals

AI Platform Services→Observability Stack

logs/metrics

Low-downtime data transitions

Migration and compatibility patterns for distributed data systems, including dual-read and dual-write flows, TTL propagation, failover-aware clients, schema-aware transitions, and operational tooling.

System role

Distributed Data Migration Framework is framed as a living system case study. Expand this page with the architecture, decisions, operational tradeoffs, constraints, outcomes, and screenshots that best explain the work.

Stack

CassandraRedisPostgresElasticsearchTypeScriptFailoverMigration tooling