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All Practice Series

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Introduction This is a comprehensive page about the technologies I have shared in series format. You can view brief introductions and links to directly access each series you are interested in. In the field of software development, to deploy a product from the initial idea to its release, the standard process typically involves several stages as follows: Database : Designing and implementing the database according to business requirements, storing data during the system's operation. Backend : Handling the main logic of the system, communicating with the database and services. Frontend : Building the interface for users to interact with the system, which could be a desktop, mobile, or web application. This usually includes implementing UI/UX and integrating APIs from the backend. DevOps : Deploying the system for use, which can be done on a server or in the cloud. Testing : Applying testing methods to ensure the product meets the standards for release. Of course, these are just stan...
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Kubernetes Deployment for Zero Downtime

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Introduction In Kubernetes (K8s) , a Pod is the smallest resource unit used to run one or more containers during deployment. There are several ways to create a Pod : you can create it directly, use a ReplicationController , or a ReplicaSet . However, the most commonly used resource for managing Pods is the Deployment . When you use a Deployment , it actually creates a ReplicaSet to manage the Pods but comes with many additional benefits that support the deployment process. Some Advantages of Deployment : Ensures Pod Availability : It guarantees that the specified number of Pods are always running according to the configuration, automatically deploying additional Pods if any failures occur. Supports Restart and Undo Deployment : Allows you to easily restart or roll back to previous versions of your Deployment . Zero Downtime Deployment : When updating configurations or scaling Deployments , zero downtime is crucial. This means that new Pods are created while the old Pods are stil...
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Deploying a NodeJS Server on Google Kubernetes Engine

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Introduction to GKE Google Kubernetes Engine (GKE) is a managed Kubernetes service provided by Google Cloud Platform , facilitating simple and efficient deployment of Docker images. We only need to provide some configuration for the number of nodes, machine types, and replicas to use. Some Concepts Cluster A Cluster is a collection of Nodes where Kubernetes can deploy applications. A cluster includes at least one Master Node and multiple Worker Nodes . The Master Node is used to manage the Worker Nodes . Node A Node is a server in the Kubernetes Cluster. Nodes can be physical servers or virtual machines. Each Node runs  Kubernetes , which is responsible for communication between the Master Node and Worker Node , as well as managing Pods and containers running on it. Pod A Pod is the smallest deployable unit in Kubernetes . Each Pod contains one or more containers, typically Docker containers. Containers in the same Pod share a network namespace, meaning they have the ...
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Setting up Kubernetes Dashboard with Kind

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Introduction In a previous article, I guided you through using Helm to deploy on Google Kubernetes Engine . However, if you want to cut down costs by using Kubernetes in your local environment instead of relying on a cloud provider during development, then Kind is your go-to. There are several tools to help set up Kubernetes locally, such as MiniKube , Kind , K3S , KubeAdm , and more. Each tool has its own pros and cons. In this article, I'll walk you through using Kind to quickly set up a Kubernetes cluster on Docker . Kind stands out for its compactness, making Kubernetes start up quickly, being user-friendly, and supporting the latest Kubernetes versions. Working with Kind Firstly, follow the instructions here to install Kind according to your operating system. If you're using Ubuntu , execute the command: [ $( uname -m ) = x86_64 ] && curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.23.0/kind-linux-amd64 chmod +x ./kind sudo mv ./kind /usr/local/bin/ki...
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React Practice Series

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Introduction React is a JavaScript library created by Facebook , often referred to as the most popular frontend framework today. This page aims to gather articles related to ReactJS , covering topics such as theory, features, and commonly used packages in the process of building ReactJS applications. I will update this series with more articles in the future as new ideas for content come up. The articles are arranged in increasing order of difficulty, so if you have time, it's recommended to start from the beginning of the series. This will ensure you grasp the essential knowledge and information needed for the subsequent articles. Here are some key topics in the series that you need to explore to effectively use ReactJS : Fundamental : React Hook, React Reconciliation. State management : redux, mobx, recoil, zustand, xstate, etc. Middleware libraries : redux-thunk, redux-saga, redux-observable, etc. Popular packages : tasnstack query, immer, styled-components, etc. Rendering te...
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Monitoring with cAdvisor, Prometheus and Grafana on Docker

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Introduction Monitoring a system is crucial after deploying a product to a production environment. Keeping an eye on system metrics like logs , CPU , RAM , disks , etc, helps identify the system's status, performance issues, and provides timely solutions to ensure stable operations. While cloud providers like Google , Amazon , or Azure offer built-in monitoring systems, if your company needs to manage multiple applications/systems/containers and desires a centralized monitoring system for easier management, using cAdvisor , Prometheus , and Grafana is a sensible choice. These three popular open-source tools are widely used by DevOps teams, especially for monitoring container applications. cAdvisor Developed by Google , cAdvisor is an open-source project used to analyze resource usage, performance, and other metrics from container applications, providing an overview of all running containers. Find more details here Prometheus Prometheus is a toolkit for system monitoring and a...
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DevOps Practice Series

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Introduction DevOps is a combination of development (Dev) and operations (Ops), aimed at uniting people, processes, and technology to enhance the software development lifecycle. Here are some key aspects of DevOps: Collaboration and Communication: DevOps fosters a culture where development, IT operations, quality engineering, and security teams work together seamlessly. Continuous Integration and Continuous Delivery (CI/CD): These practices automate the integration and delivery of code changes, ensuring faster and more reliable software releases. Infrastructure as Code (IaC): This approach involves managing and provisioning computing infrastructure through machine-readable scripts, rather than physical hardware configuration. Monitoring and Logging: Continuous monitoring and logging help teams to detect issues early and maintain system reliability. Automation: Automating repetitive tasks reduces errors and increases efficiency, allowing teams to focus on more strategic work. By impleme...
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Using Kafka with Docker and NodeJS

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Introduction to Kafka Kafka is an open-source , distributed messaging system that functions on a publish/subscribe model. It is widely used by numerous large companies for high-performance , real-time data streaming. Developed by LinkedIn since 2011, Kafka has grown into the most popular distributed streaming platform. It can handle vast amounts of records with high efficiency. Advantages of Kafka Open-source : Freely available and continuously improved by a large community. High-throughput, high-frequency : Capable of processing large volumes of data across topics continuously. Automatic message storage : Allows for easy message retrieval and verification. Large user community : Offers extensive support and shared resources. Basic Concepts If you're new to Kafka and Message Queues, here are some key concepts to understand: Producer : Creates and sends data to the Kafka server, where data is sent as messages in byte array format. Consumer : One or more consumers subscribe to...
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A Handy Guide to Using Dynamic Import in JavaScript

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Introduction In JavaScript, when we import a file, the process usually happens synchronously, known as static import. However, as our applications grow, this synchronous loading can lead to slower initial page loads due to larger JavaScript bundles. Moreover, there are times when imports are necessary only under specific circumstances, leading to unnecessary loading times for users who might not even utilize those features. Details Instead of burdening all users with unnecessary imports, dynamic imports come to the rescue. They allow us to load modules or files only when they are needed, thus improving performance and user experience. Dynamic imports are invoked using the import() function and return a promise. When using default exports, the exported data can be accessed through the default field, while other data can be accessed through fields with matching names. Here's how you can use dynamic imports: import ( "ramda" ). then ( module => { const moduleDefaul...
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