Notes

Introduction Databases are at the heart of virtually every software system — from web applications to financial platforms to machine learning pipelines. But how do they actually work? What happens when you run a SELECT query? How are rows stored on disk? How do multiple transactions run concurrently without corrupting data? This post is a comprehensive guide to database theory, covering the full lifecycle of database design and operation: from conceptual modeling to physical storage, from SQL queries to concurrency control. Whether you are studying for an exam, preparing for a systems design interview, or simply curious about what happens beneath the ORM layer, this guide has you covered. ...

Introduction Computer networks are the backbone of modern computing. Every time you browse a website, send an email, or stream a video, you rely on a complex stack of protocols, algorithms, and hardware working together. This post is a comprehensive guide to how computer networks work — from the physical transmission of bits to the application-layer protocols you use daily. We will walk through the layered network models (OSI and TCP/IP), dive into each layer’s responsibilities, explore routing and addressing, examine transport-layer reliability, and cover essential application-layer protocols. We will also touch on security, cloud computing, peer-to-peer systems, and distributed architectures like blockchain. ...

Basic Application Architecture Developer Perspective A typical application is composed of: Build & Deploy Layer — CI/CD pipeline Server Layer — handles incoming requests Storage Layer — persists application data (can be external) Logging Storage Server — logs all events Metric Storage Server — logs all metrics Alert Server — alerts when something goes down User Perspective Users simply make requests to the server and receive responses. Scaling Vertical Scaling: add more physical resources (CPU, RAM) to a single server Horizontal Scaling: add more servers to distribute the load Load Balancer: distributes traffic between multiple servers ...

Core concepts Cluster Architecture Master node: orchestrate nodes → schedule, monitor, worker, state, manage cluster Worker node: host applications as container Master node components: ETCD: database of the state of the cluster KUBE-SCHEDULER: schedule pods to worker nodes CONTROLLER-MANAGER NODE-CONTROLLER: orchestrate nodes REPLICATION-CONTROLLER: orchestrate replication groups KUBE-APISERVER: expose k8s cluster from external thought api Worker node components: CONTAINER RUNTIME: container runtime engine KUBELET: agent that run in every node, for receive api call from api server KUBE-PROXY: manage communication between container, nodes Container runtime interface Container runtime interface CRI: allow to use k8s with all container runtime ...

Introduction Passing the Kubernetes and Cloud Native Associate (KCNA) exam was a great milestone in my cloud journey. In this post, I’ll walk you through the strategy I used to prepare and pass the exam on the first attempt. I focused on hands-on experience, curated courses, and repeated quiz practice to reinforce core concepts. Why KCNA? KCNA is a foundational certification offered by the Cloud Native Computing Foundation (CNCF). It’s designed to validate your understanding of Kubernetes, cloud-native principles, container orchestration, and open-source tools in the CNCF landscape. ...