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Serverless AWS Lambda Development · Pelajaran

S3 untuk Penyimpanan File dan Peristiwa

Perdalam pemahaman Anda tentang penggunaan Amazon S3 untuk menyimpan dan mengambil objek berukuran besar, serta cara peristiwa S3 dapat memicu Lambda untuk pemrosesan.

S3 untuk Penyimpanan File dan Peristiwa adalah pelajaran Serverless AWS Lambda Development gratis di CoddyKit. Ini adalah pelajaran 2 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 Serverless AWS Lambda Development, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Serverless AWS Lambda Development mencakup 4 pelajaran total.

Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.

S3 & Lambda: Event Power

Welcome! In this lesson, we'll dive into how Amazon S3, a powerful storage service, works hand-in-hand with AWS Lambda.

You'll learn to store and retrieve files, and critically, how S3 can trigger your Lambda functions automatically when something happens to your data.

Amazon S3: Cloud Storage

Amazon S3 (Simple Storage Service) is a highly scalable, durable, and available object storage service.

  • It stores data as objects within buckets.
  • Objects are files (images, videos, documents) and their metadata.
  • Buckets are like top-level folders, globally unique names.
  • S3 is perfect for storing large amounts of unstructured data.

Storing Objects in S3

You can easily put objects into an S3 bucket. Each object has a key, which is its unique identifier within the bucket.

  • Console: Upload files directly via the AWS Management Console.
  • CLI: Use the AWS Command Line Interface for scripted uploads.
  • SDKs: Programmatically upload from your application using AWS SDKs (e.g., Python Boto3, Node.js SDK).

Retrieving Objects from S3

Getting your data back from S3 is just as simple. You reference the bucket name and the object's key.

S3 also offers features like versioning to keep multiple versions of an object, and pre-signed URLs for temporary, secure access to private objects.

S3 Event Notifications

One of S3's most powerful features for serverless is Event Notifications. S3 can notify you when specific events occur in your buckets.

These events include:

  • Object creation (PUT, POST, COPY)
  • Object deletion
  • Object restoration from Glacier

These notifications can be sent to various AWS services, including Lambda functions!

Configure an S3 Trigger

Setting up an S3 trigger for Lambda is done via the S3 console or infrastructure-as-code tools.

You specify:

  • The event type (e.g., ObjectCreated:Put).
  • The destination (your Lambda function).
  • Optional prefix or suffix to filter events (e.g., only trigger for files in the images/ folder or .jpg files).

Lambda Processing S3 Events

When an S3 event occurs, Lambda invokes your function and passes the event details as a JSON payload to your handler. Let's see an example in Python.

import json

def lambda_handler(event, context):
    print("Received S3 event!")
    for record in event['Records']:
        bucket_name = record['s3']['bucket']['name']
        object_key = record['s3']['object']['key']
        event_name = record['eventName']

        print(f"Bucket: {bucket_name}")
        print(f"Object Key: {object_key}")
        print(f"Event Type: {event_name}")

        # In a real scenario, you'd download and process the object here
        # using the bucket_name and object_key
        print(f"Processing '{object_key}' from '{bucket_name}'...")

    return {
        'statusCode': 200,
        'body': json.dumps('S3 event processed successfully!')
    }

Understanding Event Payload

The event object passed to your Lambda function's handler contains crucial information about the S3 event.

  • Records: A list, as multiple events can be batched.
  • s3: Contains details about the bucket and object involved.
  • bucket.name: The name of the S3 bucket.
  • object.key: The full path/key of the object that triggered the event.
  • eventName: Describes the specific S3 action (e.g., ObjectCreated:Put).

Common Use Case: Image Resize

A classic serverless pattern is image processing. Imagine a mobile app where users upload photos:

  1. User uploads a high-res image to an S3 bucket.
  2. S3 triggers a Lambda function (e.g., ObjectCreated:Put event).
  3. Lambda downloads the image, resizes it to various thumbnails.
  4. Lambda uploads the thumbnails to a different S3 bucket.

This is highly scalable and cost-effective!

S3 Event Triggers Check

Which of the following statements are TRUE about S3 Event Notifications for Lambda?

Recap: S3 Events for Lambda

Great job! You've learned how S3 acts as both a storage solution and a powerful event source for Lambda.

  • S3 stores objects in buckets, offering high durability and scalability.
  • S3 Event Notifications allow specific actions (like object creation/deletion) to trigger Lambda functions.
  • Lambda functions receive a JSON payload with event metadata, not the full object.
  • This pattern enables powerful serverless workflows like image processing or data transformations.

Pertanyaan yang Sering Diajukan

Apakah pelajaran “S3 untuk Penyimpanan File dan Peristiwa” gratis?

Ya — teks lengkap “S3 untuk Penyimpanan File dan Peristiwa” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Serverless AWS Lambda Development, upgrade ke CoddyKit PRO. Kursus Serverless AWS Lambda Development mencakup 4 pelajaran total.

Apa yang akan aku pelajari di “S3 untuk Penyimpanan File dan Peristiwa”?

Perdalam pemahaman Anda tentang penggunaan Amazon S3 untuk menyimpan dan mengambil objek berukuran besar, serta cara peristiwa S3 dapat memicu Lambda untuk pemrosesan. Kamu berlatih Serverless AWS Lambda Development 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 Serverless AWS Lambda Development?

Tidak diperlukan pengalaman sebelumnya. Serverless AWS Lambda Development 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 2 dari 4.

Berapa lama pelajaran “S3 untuk Penyimpanan File dan Peristiwa” 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 Serverless AWS Lambda Development ini?

Ya. Setiap pelajaran Serverless AWS Lambda Development 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

  1. Mengintegrasikan DynamoDB
  2. S3 untuk Penyimpanan File dan Peristiwa
  3. Memilih Penyimpanan Data yang Tepat
  4. Penyimpanan Cache dengan Amazon ElastiCache dan DAX
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