Bluetick Consultants Inc.

Agentic Graph RAG: Why It’s the Next Frontier for Enterprise AI

The enterprise AI landscape is littered with RAG systems that fail silently. Not the catastrophic, headline-grabbing failures the subtle ones. The answer that cites the right policy but the wrong effective date. The cross-domain question that gets a single-domain response. The hallucinated relationship between two very real entities. Retrieval Augmented Generation became the default enterprise AI […]

Continue Reading

LiveKit Egress Made Simple – Record & Stream

Building real-time apps video calls, live streams, voice AI agents is tough. You need sub-second latency, reliable scaling as participants join, and clean media handling across browsers and mobile. Then comes the hard part: recording sessions for compliance or playback, and broadcasting to YouTube or Twitch without breaking the live experience. LiveKit solves the infrastructure […]

Continue Reading

Building an Async Script Execution Engine Inside a Workflow System Using AWS Lambda

The platform in question is a B2B SaaS product with a visual workflow builder users drag and drop nodes onto a canvas, connect them, and automate business operations. A typical workflow might trigger on subscription creation, look up the associated customer, evaluate their tier, and generate an invoice. This covers the majority of automation use […]

Continue Reading

Rails 8’s Solid Trifecta: Do You Still Need Redis?

For a long time, Redis has been a default part of any serious Ruby on Rails architecture. It has powered critical components such as background job processing, application caching, and real-time updates. In most production environments, Redis was not something teams actively evaluated; it was simply assumed to be part of the stack, forming an essential […]

Continue Reading

.NET Applications with CQRS: A Practical Guide for High-Performance Systems

Introduction Scaling a .NET application is rarely about adding more features. The real challenge begins when the system starts handling more users, more data, and more complex workflows. At that point, performance issues, tightly coupled logic, and unclear boundaries begin to slow development down. Many teams try to solve this by reorganizing code or introducing […]

Continue Reading

React Data Fetching Best Practices: Why TanStack Query is Essential for Scaling

When React applications start growing, data quickly becomes the real challenge. Every project begins simply with a few components, some API calls, and a couple of useEffect hooks and everything works smoothly at first. But as the application scales, new features begin sharing data, multiple components start fetching the same APIs, and loading and error […]

Continue Reading