Topic
LLM costs · FinOps · MLOps · Infrastructure10 posts
LatestAI Cost Efficiency
The model is only about 10% of AI. The other 90% is the infrastructure that keeps it fast, safe, and affordable. Here is the map: eight building blocks you'll find in almost every AI platform, and where each one lives on AWS, Azure, Google Cloud, and on-premises.
7 min read
6 min read
Your dashboard shows what you spent, not what a finished task costs, how much went to failed runs, or what one stuck loop would cost overnight. costcheck measures all three with three lines of Python. Free, open source, and nothing leaves your computer.
4 min read
A tool built to keep your Cloud, DevOps, SRE, FinOps, AI/ML, Robotics, and Quantum Computing concepts fresh, five minutes a day, so nothing you've already learned quietly fades before the interview that needs it.
14 min read
Companies are sitting on billions in AI investment and cannot ship it. Not because the models are bad, but because they lack the engineers. Here is what AI and ML are actually doing in FinTech and Healthcare right now, and why this is the moment to build these skills.
8 min read
Two groups of people keep telling themselves the same lie that AI is only for people with computer science degrees. The door is already closed. I am here to tell you it is not true. And I am going to prove it.
6 min read
Most cheat sheets show you what to write. This one shows you why every line is there. Covering Python, JavaScript, Go, Bash, and YAML, with real use cases and line-by-line explanations, this is the reference every developer, DevOps engineer, and cloud professional needs to have saved.
7 min read
I build systems for a living, cloud infrastructure, DevOps pipelines, and secure architectures. But the most important system I'll ever build isn't in the cloud. It's inside me. A weekly framework for builders and solutions architects.
4 min read
Every resilient system begins with disciplined thinking. Before platforms run in the cloud, before automation scales infrastructure, and before artificial intelligence predicts failures, someone must design the architecture carefully and intentionally. Great systems are not accidents. They are designed.
5 min read
Modern digital platforms operate at massive scale, supporting millions of users across distributed cloud environments, enterprise data centers, and global networks. This guide covers designing enterprise-grade infrastructure with OpenShift, multi-cloud (AWS, Azure, GCP), GitOps, Helm, and infrastructure-as-code.
4 min read
Part 2 of the FinTech Series: how to design secure, reliable financial systems across AWS, Azure, and GCP — covering environment separation, infrastructure as code, secrets management, incident response, disaster recovery, and drift detection.
