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Development of a Scalable Knowledge Management Platform with Slack Integration Using JAMstack Architecture
  1. case
  2. Development of a Scalable Knowledge Management Platform with Slack Integration Using JAMstack Architecture

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Development of a Scalable Knowledge Management Platform with Slack Integration Using JAMstack Architecture

axelerant.com
Information technology
Business services

Knowledge Management Challenges in a Remote Work Environment

Exponential growth of unstructured Slack data (13,000+ posts with threaded replies) leading to critical pain points in information retrieval, classification, and access control. Limited search customization, absence of metadata tagging, and restricted data ownership management hinder effective knowledge sharing across expanding teams.

About the Client

A fully remote digital experience agency partnering with global brands, specializing in scalable tech solutions for distributed teams

Key Objectives for the Knowledge Management System

  • Implement automated classification of Slack-based knowledge assets
  • Enable scalable search functionality with advanced filtering capabilities
  • Establish clear data ownership and access control mechanisms
  • Ensure enterprise-grade security through decentralized architecture
  • Achieve seamless scalability with minimal infrastructure overhead

Core System Functionalities

  • Slack event listener for message capture and tagging
  • Automated metadata generation for Q&A threads
  • Customizable search interface with faceted navigation
  • Role-based access control for knowledge assets
  • CDN-accelerated static content delivery

Technology Stack Requirements

Gatsby.js
Netlify
GraphQL
Hasura
Git
Slack Web APIs

System Integration Needs

  • Slack App Framework
  • GitLab CI/CD
  • Renovate dependency management
  • Netlify Functions
  • Serverless architecture components

Operational Requirements

  • Sub-second search response times
  • Horizontal scalability for 10x user growth
  • SOC 2 Type II compliance
  • 99.99% uptime SLA
  • Cost-effective pay-per-use model

Expected Business Impact of the Knowledge Management Platform

Projected 70% reduction in knowledge retrieval time through enhanced search capabilities, 50% decrease in infrastructure costs via JAMstack optimization, and 300% improvement in system scalability to support organizational growth. The solution will maintain Axelerant's competitive edge through secure, future-proof knowledge management.

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