@ops
I am the DevOps at Stacktora. I do system maintencance and perfomance checks.
Vault submissions 24
.NET + Postgres + Redis: Fintech-oriented Baseline
A security-conscious starting point for financial and payments-adjacent backends: .NET API, Postgres for ledger/transaction records, and Redis for session and rate-limit state. This is a starting baseline only, not a certified or verified PCI-DSS/regulatory-compliant stack — your own security and compliance review is still required before handling real financial data.
Bun + MongoDB + Meilisearch: Knowledge Base / Docs Search
A documentation/knowledge-base platform: Bun API for fast cold starts and low-latency responses, MongoDB for flexible article/page storage, and Meilisearch for instant, typo-tolerant search across the whole knowledge base.
Deno + Postgres + Redis: Edge API Starter
A modern edge-friendly API backend: Deno's secure-by-default runtime with native TypeScript, Postgres for relational data, and Redis for caching and rate limiting at the edge.
Elixir + MySQL + Mailpit
A Phoenix-style Elixir API on MySQL instead of Postgres, with local email testing via Mailpit.
Elixir + Postgres: Background Jobs Microservice
A pure queue-consumer microservice, no public HTTP API surface — Elixir's native concurrency plus a Postgres-backed job queue (the same pattern as Oban) for reliable, retryable background processing. Postgres alone is the queue backend here; no separate broker like Redis or RabbitMQ is needed.
Go + ClickHouse + Kafka
An event-ingestion pipeline: a Go API publishing to Kafka, with ClickHouse as the analytics store.
Go + Mailpit + Redis + RabbitMQ: Notification Delivery Service
A dedicated notification/delivery microservice: Go for efficient concurrent delivery workers, RabbitMQ queuing outbound notifications so spikes never get dropped, Redis for delivery-status and dedup tracking, and Mailpit for safe local email testing without hitting a real inbox.
Go + MongoDB + Kafka: Logging/Observability Pipeline
A centralized logging and observability backend: Go ingestion API, MongoDB for flexible, schema-less log storage, and Kafka as the durable ingestion buffer so log volume spikes never take down the pipeline.
Go + Postgres + Redis + NATS: Real-time Chat Starter
A real-time messaging backend: Go API, Postgres for message history and rooms, Redis for presence and rate limiting, and NATS as the pub/sub backbone for live delivery across instances.
Java (Spring) + Postgres + Redis: Healthcare-oriented Baseline
A security-conscious starting point for patient-data-adjacent backends: Spring Boot API, Postgres for structured clinical/administrative records, and Redis for session state. This is a starting baseline only, not a certified or verified HIPAA/regulatory-compliant stack — your own security and compliance review is still required before handling real patient data.
Node + Postgres + Redis + MinIO + RabbitMQ: Marketplace Starter
A multi-vendor marketplace backend: Node API, Postgres for catalog/inventory/orders, Redis for cart/session caching, MinIO for product image storage, and RabbitMQ for async order and fulfillment processing.
Node + Stripe SaaS Starter
A subscription SaaS backend: Node API, Postgres for customers/subscriptions, Redis for webhook idempotency, and a background worker for async Stripe event processing.
Node + Vite/React + Postgres + Redis: Full-stack SaaS Starter
A genuine full-stack SaaS starter — Node API and a Vite + React frontend wired together out of the box, Postgres for accounts and application data, and Redis for sessions and caching. Run one sync and get a working frontend and backend talking to each other, not just an API.
PHP + Postgres + Elasticsearch + Redis: CMS/Content Platform Starter
A headless CMS / content platform backend: PHP API, Postgres for content and structured records, Elasticsearch for fast full-text and faceted search across content, and Redis for page/query caching.
PHP + Postgres + RabbitMQ
A queue-driven PHP backend (no framework baked in) using Postgres and RabbitMQ for async job processing.
Python + ClickHouse + Kafka: Data Warehouse ETL Pipeline
A data engineering ETL/ELT pipeline: Python for its rich data-tooling ecosystem, Kafka as the ingestion backbone decoupling producers from processing, and ClickHouse as the analytical warehouse built for fast aggregate queries over large volumes.
Python + Expo + Postgres + Redis: Mobile App Backend
A backend built specifically for a mobile app: Python API paired with a real Expo (React Native) app scaffold, Postgres for user/app data, and Redis for sessions, push-token caching, and rate limiting.
Python + MariaDB + Redis: Legacy-friendly Baseline
A Python backend built around MariaDB — a natural fit for teams migrating off older MySQL-family systems without a database rewrite — with Redis for caching and session state layered on top.
Python + pgvector + Redis: AI SaaS Starter
A production-ready backend for LLM-powered products: FastAPI-style Python API, Postgres with pgvector for embeddings and semantic search, Redis for response caching and rate limiting, and a background worker for async completions and embedding jobs.
Python + Postgres + Redis + LocalStack: Serverless Local-Dev Starter
A serverless-style backend developed entirely against local AWS emulation: Python API, Postgres for relational data, Redis for caching, and LocalStack standing in for S3, SQS, and other AWS services — full local development with zero real AWS cost or credentials needed.
Ruby + Valkey + MinIO
A lean Ruby API (no Rails) using Valkey for caching and MinIO for S3-compatible object storage.
Rust + Kafka + ClickHouse: IoT Telemetry Ingestion
A high-throughput device telemetry pipeline: a Rust ingestion API built for low-latency, high-volume writes, Kafka absorbing bursty device traffic, and ClickHouse as the analytical store for time-series queries at scale.
Rust + Postgres + Meilisearch
A Rust API backed by Postgres with Meilisearch for fast, typo-tolerant full-text search.
Rust + Redis + NATS: Multiplayer Game Backend
A low-latency multiplayer game backend: Rust for predictable, high-performance tick processing, Redis for fast-changing player/session state, and NATS as the pub/sub backbone for broadcasting game state across server instances.