There is a tendency in the AI tooling space to reach for frameworks — LangChain, AutoGen, CrewAI, OpenClaw — the moment you want an AI that does more than answer one question at a time. Most of the time, that is the wrong move. The framework adds complexity, dependencies, and debugging surface area for problems that a few shell scripts and cron jobs solve perfectly well. Claude Code’s headless mode (-p flag) plus a markdown file for personality plus cron scheduling is a complete AI assistant stack.
Build Your Own DDNS Platform
If you run a home server — a Raspberry Pi, a NAS, a Kubernetes cluster in your garage — you have probably hit the same annoying wall: your internet provider gives you a different public IP address every few days, and suddenly nobody can reach your server anymore. This post explains how I solved that problem by building ddns.devops-monk.com, a fully self-hosted Dynamic DNS platform. I will walk through the idea from scratch, explain every moving part in plain English, and include full architecture diagrams for those who want the deep technical picture.
Getting Started With ChartMuseum
When you build custom Helm charts for your organisation, you need somewhere to store and distribute them. Public registries like Artifact Hub are not suitable for internal charts. ChartMuseum is an open-source Helm chart repository server that you can run on your own infrastructure — with support for local storage, AWS S3, GCS, Azure Blob, and more. How It Fits Into Your Workflow flowchart LR Dev[Developer] -->|helm package| Chart[chart.tgz] Chart -->|curl POST| CM[ChartMuseum Server] CM -->|stores in| Storage[Local / S3 / GCS / Azure] CI[CI Pipeline] -->|helm install| CM Cluster[Kubernetes Cluster] -->|pulls chart| CI ChartMuseum exposes a standard Helm repository API — any Helm client can add it as a repository and install charts from it exactly like any public repo.
Getting Started With Helm 3
Helm is the package manager for Kubernetes — the same idea as apt on Ubuntu or npm in Node.js, but for deploying applications to your cluster. Instead of writing and maintaining dozens of raw Kubernetes YAML files per application, you define a chart once, parameterise it with values, and deploy it consistently across every environment. Note: Helm 4 was released in 2025 with breaking changes. This guide covers Helm 3, which remains widely used and supported.
HashiCorp Certified Terraform Associate
Finally, HashiCorp has announced the general availability of some of their Cloud Certifications like Terraform and Vault (and others to come like Consul).The exam is taken online with a live proctor. Its a mix of multiple-choices and “fill in the blanks” test with 57 questions for 1 hour. Terraform associate is a foundational level of certification that evaluates your understanding of basic concepts and skills on Terraform OSS and the features exist on Terraform Cloud & Terraform Enterprise packages.
Kubernetes practice questions for CKAD exam ?
The CKAD (Certified Kubernetes Application Developer) is a performance-based exam from the CNCF/Linux Foundation. Unlike multiple choice tests, you work in a live Kubernetes cluster — you must know your kubectl commands cold and be able to write YAML from memory under time pressure. Exam details (2024/2025): Duration: 2 hours Format: Performance-based, hands-on in a live cluster (Kubernetes v1.31+) Pass mark: 66% Cost: $395 (includes one free retake) Current Exam Domains Domain Weight Application Design and Build 20% Application Deployment 20% Application Environment, Configuration and Security 25% Application Observability and Maintenance 15% Services and Networking 20% The Environment, Configuration and Security domain carries the most weight — ConfigMaps, Secrets, SecurityContexts, and resource limits are tested heavily.