Redis at Shivacha
In-memory data store for caching, queues, rate limiting and real-time features.
Overview
Redis provides sub-millisecond data access for caching, sessions, rate limiting, queues, leaderboards and pub/sub. It is a standard part of our performance and real-time architectures.
Why we use it
- Very low latency
- Versatile data structures
- Pub/sub and streams
- Rate limiting
How we use it
Redis in our engineering work
Caching
Reducing database load.
Rate limiting
API protection.
Real-time
Pub/sub and presence.
Services
Services that use Redis
Backend Development
Scalable backend systems, services and data layers in Node.js, Python, Go, Java and .NET — reliable under real load.
Learn moreWebSocket & Real-Time Development
Real-time features with WebSockets and streaming: live dashboards, chat, trading feeds, collaboration and notifications.
Learn moreDigital Brokerage Platform
Digital brokerage platforms: account opening, real-time trading, market data, margin and back-office integration.
Learn moreAI Agent Development
AI agents that plan, use tools and complete multi-step business tasks — with scoped permissions, approvals and full audit trails.
Learn moreAgentic AI Development
Multi-agent and agentic systems that coordinate specialised agents across long-running workflows with supervision and control.
Learn moreAI Automation
Automate document-, email- and decision-heavy work by combining AI with rules, integrations and existing automation tools.
Learn moreProducts
Products built with Redis
Shivacha Agent Platform
Build, govern and operate AI agents that do real work across your systems.
Learn moreShivacha CRM
A configurable CRM platform you own — with AI built in.
Learn moreShivacha Marketplace
Multi-sided marketplace infrastructure — listings, matching, payments and trust.
Learn morePairs well with
What we combine with Redis
Relational, document, search and analytical data stores.
Insights
Related insights
Why most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreModular monolith first: when microservices are actually worth it
Microservices solve organisational scaling problems and introduce distributed-systems problems. Most products should earn them.
Learn moreBuilding an MVP you won't have to rewrite
Narrow scope, not low standards. The cheapest MVP is the one whose foundations survive product-market fit.
Learn more
Build with Redis.
Tell us about your project, or the engineers you need, and we will propose an approach.