Whatever I Build.
I Host Here.
An experimental lab of DevOps, Infrastructure, and GenAI projects by Suraj Vishwakarma.
What is whatever.codes?
This is my personal sandbox for DevOps and AI experiments. Here I build, break, and rebuild everything from CI/CD pipelines to LangChain agents, Docker deployments to K8s clusters, monitoring dashboards to intelligent automation systems.
DevOps Automation
CI/CD pipelines, Docker containers, and infrastructure as code
Cloud Infrastructure
AWS deployments, Kubernetes orchestration, and monitoring
GenAI Experiments
LangChain agents, AI workflows, and intelligent automation
Full-Stack Development
Modern web apps with robust backend architectures
Projects Showcase
Real-world implementations of DevOps, Infrastructure, and AI solutions
LangChain-powered automation agents with Docker deployment and monitoring
Complete observability setup with Prometheus, Grafana, and custom dashboards
Infrastructure as code across AWS, GCP with automated deployments
Streaming data processing with ML inference and auto-scaling
High-performance API with Lambda functions and DynamoDB
RAG-based document analysis with vector embeddings and chat interface
How I Deploy & Scale
See how I deploy, monitor, and scale AI and web apps — powered by EC2, Terraform, GitHub Actions, and enterprise-grade monitoring.

Cloud Infrastructure
Multi-region AWS deployment with auto-scaling EC2 instances, load balancers, and RDS databases managed through Terraform.
Monitoring & Observability
Complete observability stack with Prometheus metrics, Grafana dashboards, and custom alerting for proactive issue resolution.
Security & CI/CD
Automated deployments with GitHub Actions, security scanning, and zero-downtime deployments with proper rollback strategies.
DevOps & AI Notes
Real experiences, lessons learned, and technical deep-dives from the trenches
How I optimized Docker builds for ML workloads, reducing image size by 60% and build time by 40% using multi-stage builds and layer caching.
Real-world challenges and solutions when deploying LangChain agents at scale, including error handling, rate limiting, and cost optimization.
Setting up comprehensive K8s monitoring with custom application metrics, alerting rules, and Grafana dashboards for better observability.
Tools & Technologies
The technologies I use to build, deploy, and scale modern applications
Infrastructure & Cloud
AI & Machine Learning
Monitoring & Observability
Development & Databases
Always learning, always experimenting with new tools and technologies