Compliance-Ready Infrastructure Design In the current regulatory landscape, compliance is no longer a secondary checklist managed by legal departments; it has become a fundamental engineering requirement. For enterprises in finance, healthcare, and government sectors, the infrastructure layer is the first line of defense against both cyber threats and regulatory scrutiny. A failure in compliance
Three weeks later, backup verification jobs are silently failing. Monitoring dashboards are dark. The on-call team is operating without baselines. Nobody knows what normal looks like on the new platform. The VM conversion worked. The migration did not. This is the lift-and-shift KVM fallacy — and it isn't a KVM problem. It's a scoping problem. Most VMware-to-KVM migration plans capture the visible
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
In this guide, we will walk through the step-by-step process of installing Terraform and preparing your local environment for infrastructure automation. Install Terraform on Linux Install AWS CLI Configure AWS credentials Verify your setup Set up VS Code for Terraform development # Update package list sudo apt-get update # Install required packages sudo apt-get install -y gnupg software-propertie
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways
A recent conversation with Raymond Oyondi on Peerlist made me rack my memories a bit and reflect on how much software and infrastructure have changed over the years. I joined the industry back when cloud still felt more like a concept than a default. A lot of systems were still being built and maintained in environments where the infrastructure was very much in your hands. You knew the machines, t
In a previous post, I explored Codd's connection trap in PostgreSQL and MongoDB — the classic pitfall where joining two independent many-to-many relationships through a shared attribute produces spurious combinations that look like facts but aren't. The example followed Codd's 1970 suppliers–parts–projects model: we know which suppliers supply which parts, and which projects use which parts, but j