Tech-Gen

 Kubernetes Kubelet Architecture — Explained Simply 🧠 This diagram shows what actually happens inside a Kubernetes Node. Flow: 1️⃣ API Server    → Sends PodSpec (desired state) 2️⃣ Kubelet Main Loop    → Continuously reconciles desired vs actual state 3️⃣ Pod Workers (Parallel)    → Handle pod lifecycle independently 4️⃣ CRI Layer    → Kubelet → CRI → Container Runtime (containerd / CRI-O) 5️⃣ Image Manager    → Pulls & garbage-collects images 6️⃣ Volume Manager    → Mounts / Unmounts volumes 7️⃣ PLEG    → Detects container state changes 8️⃣ Status Manager    → Sends Pod status back to API Server      (IP, Phase, Conditions) Core Concept: Kubelet is a reconciliation engine. It constantly ensures: Desired State = Actual State That’s how Kubernetes achieves self-healing.

 31 Open Source Projects Every DevOps Engineer MUST Know 1. Coolify: self-host your apps with a Heroku-like experience on your own VPS. https://github.com/coollabsio/coolify 2. Nextcloud: private file storage, collaboration, and team productivity stack. https://github.com/nextcloud/server 3. n8n: automate APIs, alerts, and workflows without writing glue code. https://github.com/n8n-io/n8n 4. Taubyte: deploy event-driven functions globally at the edge. https://github.com/taubyte/tau 5. PocketBase: lightweight backend with auth, database, and realtime in one binary. https://github.com/pocketbase/pocketbase 6. Dokku: deploy apps with git push on a single server. https://github.com/dokku/dokku 7. Appwrite: full backend server with auth, database, storage, and functions. https://github.com/appwrite/appwrite 8. Supabase: Postgres-based backend with auth and realtime APIs. https://github.com/supabase/supabase 9. Postiz: AI-powered social media scheduling platform. https://github.com/gitro...

 Terraform Made Simple: Day 4: Data Sources & Locals In Day 3 of this Terraform series, we learned how variables make configurations flexible. But Terraform configs often need two more things: - Fetching existing infrastructure data - Computing reusable internal values That’s exactly where Data Sources and Locals are used. 1. Data Sources:  A Data Source lets Terraform read information from your cloud provider without creating anything. Instead of manually looking up values (like an AMI ID or VPC ID), Terraform can query the provider and fetch it automatically. Common use cases: - Get the latest AMI ID - Fetch an existing VPC or subnet - Read information about already created resources Example: data "aws_ami" "example" - This tells Terraform to query AWS and return the latest AMI that matches the filter. - That value can then be used directly in your resources. - So instead of hardcoding an AMI ID, Terraform dynamically retrieves it for you. 2. Locals: Locals ar...

 Terraform Made Simple: Day 3 - Terraform Variables After learning the basics, it's time to understand Terraform variables. Variables are important because we don’t want to hardcode values directly in our configuration. Instead, we define variables and pass values when needed. This makes our Terraform code flexible, reusable, and easier to manage across different environments. Let's see how it works- 1. What are Terraform Variables? Variables act as customizable inputs that remove the need for static, "hard-coded" values in your files: > Parameterize Configurations: Use placeholders for values like regions or instance types. > Accept Values at Runtime: Pass data into your code from various sources when you run Terraform. > Enable Reusability: Allow the same configuration to be passed into different modules or environments. 2. Types of Variables & Values: There are three main ways to handle data within your project: > Input Variables: Accept values from...

 Terraform Made Simple: Day 2 - Terraform Providers Welcome to Day 2! Today it’s time to talk about Terraform Providers. If the terraform {} block is the foundation, Providers are the functional plugins that allow Terraform to communicate with external platforms. 1⃣ What is a Provider? A Provider is an interface plugin that translates Terraform configuration (HCL) into specific API calls for a target platform:  ➜ It contains the code required to manage resources for a specific cloud or service. ➜ It allows Terraform to interact with hundreds of platforms, including AWS, GCP, Azure, GitHub, and Kubernetes. ➜ It carries out the actions needed to create, update, or delete your infrastructure. 2⃣ Types of Providers: Providers are categorized based on who maintains and supports them: ➜ Official: Managed and supported directly by HashiCorp. ➜ Verified: Maintained by the platform itself (e.g., AWS or Azure) and verified by HashiCorp. ➜ Community: Open-source options developed and mai...

 Terraform Made Simple: Day 0 - FOUNDATION Let's lay the foundation: What is Terraform, why use it, and how does it work?  1. What is Terraform?  ➔ It is an Infrastructure as Code (IaC) tool created by HashiCorp. ➔ It uses a declarative configuration language (HCL). This means you simply define the goal (what you want to build), and Terraform figures out the steps to get there. ➔ It actively manages the full lifecycle of your resources from creation to destruction. 2. Why do we use it?  ➔ Speed & Repeatability: Instead of manually clicking through cloud consoles, you can spin up identical, error-free environments (Dev, Staging, Prod) in minutes using the same code. ➔ Version Control & Collaboration: Because your infrastructure is just text files, you can store it in Git. Teams can track history, review changes via Pull Requests, and instantly roll back mistakes. ➔ State Management & Locking: Terraform keeps a State file, which is a memory of exactly what ...