Serverless dengan Kubernetes (Knative)
Pelajari cara platform seperti Knative memungkinkan fungsi serverless dan arsitektur berbasis peristiwa di atas Kubernetes.
Serverless dengan Kubernetes (Knative) adalah pelajaran Docker & Kubernetes for Developers gratis di CoddyKit. Ini adalah pelajaran 3 dari 4. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar Docker & Kubernetes for Developers, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Docker & Kubernetes for Developers mencakup 4 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
Serverless & Kubernetes
Welcome to the world of serverless on Kubernetes! Serverless computing allows you to run code without provisioning or managing servers, focusing purely on your application logic.
By combining serverless with Kubernetes, you get the benefits of both: the agility and cost-efficiency of serverless, backed by the robust, scalable, and portable infrastructure management of Kubernetes.
Knative: K8s Serverless
Knative is an open-source platform that extends Kubernetes to provide components for deploying, running, and managing serverless workloads. It simplifies the complexities of running serverless applications.
Knative has two main components: Knative Serving, which handles request-driven services, and Knative Eventing, for event-driven architectures.
Knative Serving Basics
Knative Serving is designed for deploying and managing stateless services. It takes care of:
- Rapid Deployment: Quickly deploys container images.
- Auto-scaling: Scales services up and down based on demand, even to zero instances when idle.
- Revision Management: Provides immutable revisions for easy rollbacks and traffic splitting.
It's perfect for web applications, APIs, and microservices.
Serving: Services & Revisions
Key concepts in Knative Serving:
- Service: The top-level resource, defining the desired state of your application.
- Revision: An immutable snapshot of your service's code and configuration at a specific point in time. New deployments create new revisions.
- Route: Manages network traffic to one or more revisions, enabling features like A/B testing or gradual rollouts.
These components work together to provide a robust deployment and scaling mechanism.
Defining a Knative Service
A Knative Service is defined using a YAML manifest, much like other Kubernetes resources. This example defines a simple 'hello-knative' service using a pre-built image.
Notice the serving.knative.dev/v1 API version and the kind: Service.
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
name: hello-knative
spec:
template:
spec:
containers:
- image: docker.io/knative/helloworld-go
env:
- name: TARGET
value: "Knative"Simple Serverless App
This is a basic Python Flask application that Knative would deploy. It listens for HTTP requests and responds with a greeting, using an environment variable for customization. Knative handles the containerization, deployment, and scaling of this app.
from flask import Flask
import os
app = Flask(__name__)
@app.route('/')
def hello():
target = os.environ.get('TARGET', 'World')
return f'Hello {target}!\n'
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080)Knative Eventing
Knative Eventing enables event-driven architectures on Kubernetes. It allows services to communicate asynchronously by sending and receiving events, decoupling the event producers from consumers.
This is crucial for building reactive systems that respond to various changes, like data updates, file uploads, or scheduled tasks.
Eventing: Sources & Brokers
Key components in Knative Eventing:
- Event Source: Generates events from various systems (e.g., Kafka, GitHub, CronJob, S3).
- Broker: A central messaging hub where event sources send events. It abstracts the underlying messaging system.
- Trigger: Filters events from a Broker based on attributes and routes them to a specific event consumer (often a Knative Service).
This flow enables flexible and scalable event processing.
Example Event Flow
Imagine you have a service that processes new images. You can set up an Event Source that monitors an S3 bucket for new image uploads.
When an image is uploaded, the source sends an event to a Broker. A Trigger, configured to filter for 'new S3 image' events, then forwards that event to your image processing Knative Service.
Your service processes the image, scales down when idle, and you only pay for the compute used during processing.
Knative Knowledge Check
Which Knative component is primarily responsible for automatically scaling services up or down based on incoming requests, including scaling to zero when idle?
Knative Recap
In this lesson, you explored how Knative brings serverless capabilities to Kubernetes. You learned about:
- Knative Serving: For deploying and auto-scaling request-driven services.
- Knative Eventing: For building event-driven architectures with sources, brokers, and triggers.
Knative empowers developers to build and run serverless applications with the control and flexibility of Kubernetes.
Belajar Docker & Kubernetes for Developers dengan tutor AI — gratis
Tulis dan jalankan kode asli di browser kamu, dapatkan bantuan instan dari tutor AI 24/7, dan lanjutkan di mana kamu tinggalkan di web atau aplikasi.
- Kursus
- 12
- Pelajaran
- 48
Pertanyaan yang Sering Diajukan
Apakah pelajaran “Serverless dengan Kubernetes (Knative)” gratis?
Ya — teks lengkap “Serverless dengan Kubernetes (Knative)” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Docker & Kubernetes for Developers, upgrade ke CoddyKit PRO. Kursus Docker & Kubernetes for Developers mencakup 4 pelajaran total.
Apa yang akan aku pelajari di “Serverless dengan Kubernetes (Knative)”?
Pelajari cara platform seperti Knative memungkinkan fungsi serverless dan arsitektur berbasis peristiwa di atas Kubernetes. Kamu berlatih Docker & Kubernetes for Developers dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.
Apakah aku perlu pengalaman untuk memulai Docker & Kubernetes for Developers?
Tidak diperlukan pengalaman sebelumnya. Docker & Kubernetes for Developers di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 3 dari 4.
Berapa lama pelajaran “Serverless dengan Kubernetes (Knative)” memakan waktu?
Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.
Bisakah aku menulis dan menjalankan kode dalam pelajaran Docker & Kubernetes for Developers ini?
Ya. Setiap pelajaran Docker & Kubernetes for Developers menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.
Semua pelajaran dalam kursus ini
- Definisi Sumber Daya Kustom (CRD)
- Pola Operator di Kubernetes
- Serverless dengan Kubernetes (Knative)
- Memperluas Server API dengan Admission Webhook