Detect and contextualize
Bring AWS alerts and operational signals together with Jira issues, service history, runbooks, and Confluence knowledge.
Infrastructure-led development for Amazon AWS environments. We design, build, and operate cloud-first products with reliability, security, and delivery speed at the core.
Everything currently live or in progress across the Busyrain ecosystem, newest first.
A tennis-ball-sized stage light on an ESP32: a custom PCB, a 3D-printed housing, servos for pan, tilt, and roll, and an addressable RGB LED, all controlled over Wi-Fi through a REST API and web dashboard.
A tiny desk weather display on an ESP32-C3 with a 0.42-inch OLED, pulling live conditions from OpenWeatherMap and alternating weather icons with temperature and humidity.
A desk-mounted Arduino display driven by host telemetry, showing live CPU load and system stats at a glance.
A local-first, Rust-powered mission control that shows what every AI agent on your machine is doing: live process metrics, an agent constellation, CPU history, process inspection, and an activity stream in a native desktop app.
A local pipeline that ingests free market, attention, and sentiment data into ClickHouse, then emits five-day directional signals from rule-based and LightGBM models with Grafana dashboards. A research tool, not financial advice.
A multi-tenant recruiter SaaS offering AI-assisted recruitment for niche industries, with separate recruiter and candidate journeys over a shared vacancy pipeline.
The Busyrain social feed: a running dispatch of posts, signals, and updates from across the ecosystem.
A creative project space for Noiseytess content and updates, now included in the Busyrain project ecosystem.
Event-focused platform delivering information, schedules, and updates for live and upcoming experiences.
Customer guidance and support resources hosted on S3 for fast access to help content.
Cooking videos reimagined in the style of Keith Floyd, with narration generated from source transcripts by a Bedrock-backed API.
A modern communications hub for managing messages and connections. Clear, focused, and built for real work.
A practical toolkit for quick access to common utilities and tools. Grab what you need without the friction.
A curated collection of useful links, tools, and resources. Discover hidden treasures and unlock new possibilities.
Paperclip AI connects Atlassian Rovo intelligence with AWS Systems Manager Run Command to turn operational issues into safe, traceable remediation workflows.
Bring AWS alerts and operational signals together with Jira issues, service history, runbooks, and Confluence knowledge.
Use Atlassian Rovo to investigate likely causes, connect related incidents, and recommend the most appropriate response.
Run approved remediation through AWS Systems Manager Run Command using controlled documents and least-privilege access.
Confirm service recovery, capture command output, and update the Atlassian work item with the result and audit trail.
AI governance by design: human approval gates, policy-based access, scoped AWS permissions, reusable runbooks, explainable recommendations, execution logs, and clear escalation paths keep automated decisions accountable, auditable, and reversible.
Production-ready n8n implementations connect business systems, cloud services, and AI agents through maintainable workflows that are secure, observable, and designed to scale.
Run n8n in a resilient AWS environment with managed networking, encrypted storage, backups, secrets management, and controlled access.
Integrate Atlassian, AWS, databases, SaaS platforms, webhooks, and internal APIs without creating fragile point-to-point scripts.
Coordinate AI-assisted workflows with structured inputs, human review, policy checks, deterministic tools, and traceable outputs.
Use retries, error workflows, alerts, execution history, versioned changes, and performance monitoring to keep automation dependable.
Implementation from prototype to production: workflow discovery, solution design, custom nodes, deployment, testing, documentation, and operational handover are delivered as one maintainable automation capability.
Busyrain provides infrastructure-led development in Amazon AWS environments. We build secure, scalable platforms and delivery pipelines that let products move from idea to production faster.
Our engineering approach combines cloud architecture, automation, observability, and operational excellence. Each Busyrain product is supported by resilient infrastructure designed for real-world usage.
All Busyrain properties run on production infrastructure secured with HTTPS. We prioritize availability, transparent operations, and accessible design across every experience.
Busyrain is an independent engineering practice covering the full delivery path: cloud architecture and automation on AWS, product front ends, and embedded hardware.
Recent projects include a multi-tenant recruitment platform with Cognito-backed sign-in, an LLM-driven video pipeline on Amazon Bedrock, and a portfolio of sites delivered through S3, CloudFront, and Route 53. Connect on LinkedIn