Business Compass LLC

Stop Babysitting Your Servers: Build a Self-Healing AWS Infrastructure with Terraform If your web app goes down every time traffic spikes, you don’t have an infrastructure problem — you have a design problem. This Terraform AWS tutorial is for developers and DevOps engineers who want to build a highly available web architecture that scales automatically, recovers from failures on its own, and doesn’t require you to be on-call every weekend. No manual clicking around the AWS console. No single points of failure. Just clean, repeatable AWS infrastructure as code that actually holds up under pressure. Here’s what we’ll walk through together: Building a secure network foundation — VPCs, subnets, and routing that give your app room to grow without exposing it to the open internet Setting up an Application Load Balancer — so traffic gets distributed evenly across your instances and unhealthy servers get pulled out of rotation automatically Configuring Auto...

From Architecture to Deployment: Designing a Complete Serverless System on AWS Building a serverless system on AWS sounds straightforward until you’re knee-deep in Lambda timeouts, runaway costs, and a deployment pipeline held together with duct tape. This guide is for backend developers, cloud engineers, and architects who already know the basics of AWS and want a practical, end-to-end roadmap for building serverless applications that actually work in production. Here’s what we’ll walk through: How to design a scalable serverless architecture that handles real traffic without falling apart under pressure How to lock down your serverless application security so you’re not leaving doors open at the IAM, API, or data layer How to set up a serverless CI/CD pipeline and pair it with solid monitoring and debugging so you can ship fast and fix problems before your users notice them No fluff, no hand-waving. Just the decisions, patterns, and AWS serverless ...

Agentic AI on AWS: How to Build, Deploy, and Scale Autonomous AI Agents AI agents that can reason, plan, and act on their own are no longer a research experiment — they’re running in production right now, handling real business workflows without someone clicking buttons at every step. If you’re a cloud architect, ML engineer, or engineering lead who wants to build autonomous AI agents on AWS, you’re in the right place. This guide walks you through what agentic AI actually is and why it’s different from a standard chatbot or API call. You’ll get a clear look at the core AWS services — including Amazon Bedrock — that make building and deploying LLM agents on AWS practical today. And you’ll see how to design an AI agent architecture that holds up when you move from a proof of concept to a production system serving real users at scale. No fluff. No theory for theory’s sake. Just a practical breakdown of how to get autonomous AI agents running on...

Beyond Traditional Monitoring: Unlock Deep Kubernetes Observability with eBPF on AWS If you’re running Kubernetes in production on AWS and your monitoring setup still feels like you’re flying blind, you’re not alone. Traditional tools give you surface-level metrics — CPU usage, memory consumption, pod restarts — but they miss what’s actually happening inside your cluster. When something breaks at 2 AM, those numbers rarely tell you why . This guide is for platform engineers, DevOps teams, and SREs who manage Kubernetes workloads on AWS and need more than dashboards that look good but deliver little signal when it matters most. Here’s what we’ll cover: Why traditional Kubernetes monitoring falls short — and the blind spots it leaves in your production environment What eBPF brings to Kubernetes observability — how this Linux kernel technology gives you deep, real-time visibility into network traffic, system calls, and application behavior with...

Build a Real Sales Analytics Pipeline on AWS Without Managing Servers If you work with sales data and spend too much time wrangling spreadsheets or waiting on your data team, this project is for you. Data engineers, cloud developers, and analytics-focused developers who want hands-on AWS experience will get the most out of this guide. We’re building a fully functional AWS serverless data pipeline that pulls in raw sales data, cleans it up, and turns it into dashboards your team can actually use — no servers to babysit, no infrastructure headaches. Here’s what we’ll walk through together: How the pipeline fits together — you’ll see the full sales analytics AWS architecture before writing a single line of code, so nothing feels random later Getting data in and transforming it — we’ll use AWS Lambda, S3, and AWS Glue data processing to move raw sales records from messy to query-ready Turning data into decisions — Amazon Athena handles the queryin...