Log dan Grup Log CloudWatch
Gabungkan, pantau, dan simpan log dari berbagai layanan AWS serta aplikasi khusus untuk pemecahan masalah dan audit.
Log dan Grup Log CloudWatch adalah pelajaran AWS for Backend Developers (EC2, S3, RDS, Lambda) 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 AWS for Backend Developers (EC2, S3, RDS, Lambda), dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus AWS for Backend Developers (EC2, S3, RDS, Lambda) mencakup 4 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
CloudWatch Logs Intro
Imagine trying to fix a problem in your application without knowing what happened! That's where logs come in.
CloudWatch Logs is an AWS service that helps you collect, monitor, and store logs from your applications and various AWS services.
It's crucial for troubleshooting, auditing, and understanding how your systems are performing.
Log Groups Explained
At the core of CloudWatch Logs is the concept of a Log Group.
Think of a Log Group as a dedicated folder or container for logs that share the same characteristics, like logs from a specific application or service.
For example, all logs from your 'WebApp-Production' service might go into one Log Group.
Log Streams within Groups
Inside each Log Group, you'll find Log Streams.
A Log Stream is a sequence of log events from a single source within that Log Group.
- For an EC2 instance, each instance might have its own Log Stream.
- For a Lambda function, each invocation or version could generate a Log Stream.
They help you pinpoint the exact source of your log data.
Setting Up Log Groups
Many AWS services automatically create Log Groups for you when they generate logs, like AWS Lambda or AWS Fargate.
For custom applications, you'll typically create a Log Group manually and then configure your application or the CloudWatch Agent to send logs to it.
You can create and manage Log Groups via the AWS Management Console, AWS CLI, or SDKs.
Ingesting EC2 Logs
To send logs from applications running on an EC2 instance to CloudWatch Logs, you use the CloudWatch Agent.
- Install the agent on your EC2 instance.
- Configure it to monitor specific log files (e.g.,
/var/log/myapp.log). - The agent then streams these logs to a specified Log Group and Log Stream in CloudWatch Logs.
Lambda's Automatic Logs
AWS Lambda automatically integrates with CloudWatch Logs! Any output your Lambda function generates (e.g., using print() in Python or console.log() in Node.js) is sent to CloudWatch Logs.
Try running this simple Python Lambda function and check its logs:
import json
def lambda_handler(event, context):
print("INFO: Lambda function execution started.")
# Simulate processing an event
if 'detail' in event and 'message' in event['detail']:
print(f"DEBUG: Processing message: {event['detail']['message']}")
else:
print("DEBUG: No specific message in event.")
# Simulate an error condition based on input
if 'statusCode' in event and event['statusCode'] >= 400:
print("ERROR: An error status was detected in the input event!")
return {
'statusCode': event['statusCode'],
'body': json.dumps('Error processed!')
}
print("INFO: Lambda function execution finished successfully.")
return {
'statusCode': 200,
'body': json.dumps('Hello from Lambda!')
}Finding Info in Logs
Once your logs are in CloudWatch Logs, you can easily search and filter them.
- Search: Look for specific keywords, phrases, or patterns across all your log events.
- Filter: Narrow down results by time range, Log Stream, or even specific fields if your logs are structured (e.g., JSON).
This helps you quickly diagnose issues or find relevant events.
Managing Log Retention
Logs can consume a lot of storage, and you might have compliance requirements for how long to keep them.
Log Retention Policies allow you to define how long CloudWatch Logs should store your log events.
- Options range from 'Never Expire' to 1 day, 30 days, 1 year, etc.
- Setting appropriate retention helps manage costs and adhere to data policies.
Log Metrics Filters
Beyond just viewing logs, you can extract meaningful data from them using Metric Filters.
A Metric Filter defines a pattern to look for in your log events (e.g., the word "ERROR" or a specific status code).
When the pattern is matched, CloudWatch increments a custom metric, which you can then use to create alarms (as seen in the previous lesson!).
Log Group Basics
Time for a quick check on CloudWatch Logs!
Which statement best describes the relationship between CloudWatch Log Groups and Log Streams?
Logs Recap
Great job! You've learned the essentials of CloudWatch Logs.
We covered:
- Log Groups for organizing logs.
- Log Streams for individual log sources.
- How to ingest logs from services like EC2 and Lambda.
- How to search and filter logs efficiently.
- Configuring retention policies and creating metric filters from logs.
Next, we'll explore CloudTrail for event-driven monitoring and auditing.
Pertanyaan yang Sering Diajukan
Apakah pelajaran “Log dan Grup Log CloudWatch” gratis?
Ya — teks lengkap “Log dan Grup Log CloudWatch” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus AWS for Backend Developers (EC2, S3, RDS, Lambda), upgrade ke CoddyKit PRO. Kursus AWS for Backend Developers (EC2, S3, RDS, Lambda) mencakup 4 pelajaran total.
Apa yang akan aku pelajari di “Log dan Grup Log CloudWatch”?
Gabungkan, pantau, dan simpan log dari berbagai layanan AWS serta aplikasi khusus untuk pemecahan masalah dan audit. Kamu berlatih AWS for Backend Developers (EC2, S3, RDS, Lambda) 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 AWS for Backend Developers (EC2, S3, RDS, Lambda)?
Tidak diperlukan pengalaman sebelumnya. AWS for Backend Developers (EC2, S3, RDS, Lambda) 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 “Log dan Grup Log CloudWatch” 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 AWS for Backend Developers (EC2, S3, RDS, Lambda) ini?
Ya. Setiap pelajaran AWS for Backend Developers (EC2, S3, RDS, Lambda) 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
- Metrik dan Alarm CloudWatch
- Log dan Grup Log CloudWatch
- Pemantauan Berbasis Peristiwa dengan CloudTrail
- Membangun Dasbor CloudWatch