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Run OpenClaw more securely inside NVIDIA OpenShell with managed inference
A basic Express.js server that responds with "Hello, World!" on port 3000
The shared library contains reusable Groovy code for the pipeline stages (build, test, deploy).
In this project, we give a practical, end-to-end MLOps project that detects data / concept drift, exports drift metrics to Prometheus, visualizes & alerts in Grafana, Alertmanager, and Slack.
In this video, we walk you through a detailed tutorial on setting up a Jenkins Master using Docker and integrating it with a Docker container that serves as a Jenkins Build Agent. If you're looking…
In this project, we present a complete and practical DevOps project that shows how to run self-hosted GitHub Actions runners as Kubernetes pods that spin up on demand, execute a CI job, then termin…
In this video, we look at the importance of analyzing and measuring Time and Space Complexity for ML and AI Engineering.
In this project, we will build a practical intelligent document processing system that automatically extracts data from forms, invoices, receipts, contracts, etc. We will utilize Python, Amazon Tex…
In this project, we will build a secure system that uses HashiCorp Vault to dynamically generate secrets (e.g., database credentials), runs services in Docker and applies Zero Trust principles. We …
In this hands-on MLOps project, we will walk you through how to detect data drift in a machine learning model using Alibi Detect and automatically retrain the model using Apache Airflow.
In this project, we illustrate how the Kolmogorov Smirnov (KS) statistical test works, and why it is commonly used in Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI).
In this project, we build, deploy, and manage a Kubernetes cluster using RKE2 (Rancher Kubernetes Engine v2) using Cloud VMs (on Google Cloud Platform), enhance it with Rancher UI for web-based clu…
In this project, we deploy Machine Learning Models A (Logistic Regression) and B (Random Forest) to a simple Flask-based API behind an Nginx Reverse Proxy that routes traffic 50/50 to each model, s…
In this demo, we build an End-to-End Retrieval-Augmented Generation (RAG) AI System using LangChain for RAG framework, FAISS for vector store, Hugging Face model as LLM and Gradio for frontend UI.
In this hands-on DevOps tutorial, we’ll walk through building a full-fledged Jenkins CI/CD pipeline to deploy a Java application to Microsoft Azure Container Instance using industry-standard tools …
This is a terraform code to create my first EC2 Instance in AWS
Terraform_Backend_Locking_w_DynamoDB