Standardizing AWS Cleanup Across Accounts

https://knowledge.businesscompassllc.com/standardizing-aws-cleanup-across-accounts/

Managing AWS multi-account cleanup becomes a nightmare when each account follows different rules and processes. Cloud engineers, DevOps teams, and AWS administrators know the pain of discovering forgotten resources draining budgets across dozens of accounts.

How We Built a Minimal AI Pipeline for Production

https://knowledge.businesscompassllc.com/how-we-built-a-minimal-ai-pipeline-for-production/

Building a minimal AI pipeline production system doesn’t require complex enterprise solutions or massive infrastructure investments. This podcast walks data scientists, ML engineers, and startup technical teams through creating a streamlined, production-ready system that actually works in the real world.

Highly Available AWS Infrastructure as Code with Terraform

https://knowledge.businesscompassllc.com/highly-available-aws-infrastructure-as-code-with-terraform/

Building highly available architecture on AWS doesn’t have to be overwhelming when you have the right Infrastructure as Code approach. This podcast walks you through creating resilient, scalable AWS systems using Terraform infrastructure as code that can handle failures gracefully and scale automatically based on demand.

Building Reliable Notification Systems with AWS SNS

https://knowledge.businesscompassllc.com/building-reliable-notification-systems-with-aws-sns/

Modern applications need instant communication with users, systems, and services. AWS SNS (Amazon Simple Notification Service) gives developers a powerful platform to send messages across multiple channels without managing complex infrastructure.

Automating EBS Snapshot Cleanup Using AWS Lambda

https://knowledge.businesscompassllc.com/automating-ebs-snapshot-cleanup-using-aws-lambda/

Managing EBS snapshots manually becomes a nightmare as your AWS infrastructure grows. Those forgotten snapshots pile up, driving storage costs through the roof while cluttering your environment.

Serverless Backend Architecture for iOS Apps on AWS

https://knowledge.businesscompassllc.com/serverless-backend-architecture-for-ios-apps-on-aws/

Building a serverless backend for your iOS app on AWS can slash your infrastructure costs and eliminate server management headaches. This podcast is designed for iOS developers who want to create scalable, cost-effective mobile backends without dealing with traditional server setup and maintenance.

Cloud-Native File Processing and Analytics with AWS Services

https://knowledge.businesscompassllc.com/cloud-native-file-processing-and-analytics-with-aws-services/

Modern businesses generate massive amounts of data daily, and traditional file processing methods can’t keep up. Cloud-native file processing with AWS services offers a scalable, cost-effective solution that transforms how organizations handle data workflows.

Implementing Circuit Breaker in Microservices Systems

https://knowledge.businesscompassllc.com/implementing-circuit-breaker-in-microservices-systems/

Microservices failures can cascade through your entire system in seconds, bringing down critical business operations. The circuit breaker pattern microservices solution acts like an electrical circuit breaker in your home—it automatically stops the flow when something goes wrong, protecting your distributed systems resilience from complete outage.

Secure AWS Access from GitHub Actions Using IAM Roles

https://knowledge.businesscompassllc.com/secure-aws-access-from-github-actions-using-iam-roles/

Deploying to AWS from GitHub Actions while keeping your credentials secure can be tricky. Traditional methods like storing AWS access keys as secrets create security risks that could expose your entire infrastructure if compromised.

Understanding the End-to-End Machine Learning Life Cycle

https://knowledge.businesscompassllc.com/understanding-the-end-to-end-machine-learning-life-cycle/

The machine learning lifecycle can feel overwhelming when you’re staring at raw data and wondering how it becomes a working ML model that actually solves business problems. Many data scientists, ML engineers, and product managers jump straight into model training without understanding the complete end-to-end ML pipeline – a mistake that leads to failed projects and models that never see production.