Resilience4j - CircuitBreaker for creating fault-free services
foo
We'll show you a quick and easy way to implement CircuitBreaker to create a fault-tolerant service.
중급이상
resilience4j, Spring Boot, circuit-breaker
BEST
Log Management Required for Developers
From log recording to collection and utilization, it covers the whole cycle.
(4.9) 67 reviews
1,092 learners
3시간 만에 완강할 수 있는 강의 ⏰
이론 실습 모두
로그
log
Elasticsearch
logback
Logstash
Kibana
Spring Boot
Reviews from Early Learners
What you will gain after the course
Tips on what to log in applications.
Log Collection and Utilization Using ELK Stack
Are you still connecting to your server via SSH to view logs?
The method of logging directly into the server and checking the log file has several limitations. First, if you operate multiple servers, you have to access each server individually, which takes a lot of time and makes management complicated. Second, it is difficult to monitor logs in real time, making it difficult to respond quickly when a problem occurs. In addition, since log search and analysis are done manually, important information may be missed or it may take time to find errors. This method is especially inefficient in large-scale distributed systems, and can have a negative impact on the stability of the service and the user experience. Therefore, it is necessary to introduce a more systematic and automated log management method.
Log management is an important tool that goes beyond simply recording errors, but also understands the heartbeat of an application and predicts problems in advance. Especially in modern complex distributed systems, log management can determine the stability of services and user experience. In practice, the ability to quickly identify and resolve problems amidst a large amount of data and traffic is essential.
In this lecture, "Log Management for Developers," we will cover various strategies and tips that can be applied immediately in practice, from what logs to leave to how to utilize logs. You will systematically learn the entire process of log management from beginning to end, and experience firsthand how logs can be utilized in service operation.
First, we will cover the basic knowledge of logs. In this lecture, you will understand the basic concept and importance of logs, learn what information should be logged, how to use logs in exception handling, and learn the meaning and utilization of various log levels. Through this, you will recognize the importance of logs in the development process and learn how to leave logs effectively.
Secondly, we will cover Logback configuration. We will explain the basic concepts of Logback and its connection with Slf4j, and learn how to write an actual Logback configuration file through practice. You can learn the configuration techniques required in practice, such as separating logs into multiple files using various Appenders, managing logs by day, and compressing log files. You will also learn how to implement flexible log management by applying different Logback settings for each development environment.
Next, we will introduce the importance of log collection and how to use Elasticsearch and Logstash, which are tools for this. We will practice installing Elasticsearch and Logstash using Docker and forwarding logs to Elasticsearch through LogstashAppender. We will learn how to efficiently collect and manage logs in a distributed environment and also learn how to effectively check the logs collected in Elasticsearch.
Finally, we will cover log visualization and utilization methods. You will learn how to visualize log data using Kibana and monitor logs in real time through a dashboard. You will learn how to add service and host information to log data to improve the readability of logs and how to build a system that can respond quickly when errors occur through alarm settings. You will also learn how to receive alarms through Slack in conjunction with Jenkins to build a log monitoring environment that can be used immediately in practice.
This course provides essential content for developers and engineers who want to systematically learn from the basics of log management to advanced settings. It will be of great help to anyone who wants to improve the stability of the system through effective log management and develop the ability to respond quickly when problems occur.
Example Logback configuration file
< configuration >
< property name = "LOG_FILE" value = "application.log" />
< appender name = "LOGSTASH" class = "net.logstash.logback.appender.LogstashTcpSocketAppender" >
< destination > localhost:5044 destination >
< encoder class = "net.logstash.logback.encoder.LogstashEncoder" />
appender >
< appender name = "CONSOLE" class = "ch.qos.logback.core.ConsoleAppender" >
< encoder >
< pattern > %d{yyyy-MM-dd HH:mm:ss} %-5level [%thread] %logger{36} - %msg%n pattern >
encoder >
appender >
< appender name = "FILE" class = "ch.qos.logback.core.rolling.RollingFileAppender" >
< file > ${LOG_FILE} file >
< rollingPolicy class = "ch.qos.logback.core.rolling.TimeBasedRollingPolicy" >
< fileNamePattern > application.%d{yyyy-MM-dd_HH-mm}.log.gz fileNamePattern >
< maxHistory > 5 maxHistory >
rollingPolicy >
< encoder >
< pattern > %d{yyyy-MM-dd HH:mm:ss} %-5level [%thread] %logger{36} - %msg%n pattern >
encoder >
appender >
< root level = "trace" >
< appender-ref ref = "CONSOLE" />
< appender-ref ref = "FILE" />
< appender-ref ref = "LOGSTASH" />
root >
configuration >Log visualization example
Recommended for
these people
Who is this course right for?
Someone who wants to know what logs to record in an application.
A person tired of SSHing into servers every time to check logs.
Need to know before starting?
Spring Boot application development experience
5,735
Learners
263
Reviews
116
Answers
4.9
Rating
9
Courses
안녕하세요.
멘토링을 하면서 주니어 개발자들이 어려워 하는 개념들에 대해 어떻게 하면 쉽게 전달할 수 있을지에 대해서 많은 고민을 하고 있는 푸(Foo)라고 합니다.
잘 부탁 드리겠습니다.
이력
2019. 08 ~ 현재 : 카카오 자바 백엔드 개발자
2021. 08 ~ 현재 : programmers 백엔드 데브코스 멘토
2021. 12 ~ 현재 : F-Lab 자바 백엔드 멘토
책
이것이 취업을 위한 백엔드 개발이다 with 자바(링크)
기타 이력 및 타 플랫폼 강의들은 아래 GitHub 링크에서 확인할 수 있습니다.
GitHub - https://github.com/lleellee0
Curriculum
All
17 lectures ∙ (3hr 27min)
Published:
Last updated:
Reviews
All
67 reviews
4.9
67 reviews
parksangdonewsReviews 17
∙
Average Rating 4.8
5
100% enrolledIt's a perfect time to cool off for about 3 hours, so I started taking the course thinking I'd watch it on the weekend as a way to learn something new. ^^ I remembered how hard it was to distinguish between log4j, logback, and slf4j when I was a junior and how much trouble I had setting them up, so I bought it thinking many developers would find it useful. The content was well organized and explained in a story format, from the trial and error process to the monitoring stage, so it was more engaging than other lectures that explain each one separately. I thought of it as a junior learning from a mentor and kept looking at the development tips that came up here and there, and before I knew it, 3 hours had passed... If you're new to development, watch it. Watch it twice. ^^ Logs can sometimes save your life. (Sometimes they break, too...)
- fooInstructor
Thank you for your thoughtful review, Sang Do Park! I think you've done a much better job of highlighting the strengths of the class than the introduction to the class 😊😊😊😊 Thank you so much for listening to the class!! The things you wrote will be of great help to others as well~
- khd16927573
Reviews 12
∙
Average Rating 5.0
Edited
5
100% enrolledI really enjoyed the lecture! I was using logback and @Sl4jf without fully understanding them, but now I've learned about their concepts! However, this lecture didn't just stop at simple principles or knowledge; it allowed me to process logs, and if one has experience handling logs for purposes like CS response, there were many points that resonated deeply. Thus, I found myself nodding along throughout the lecture. In any case, it was incredibly helpful, and I hope you'll create lectures on a wider variety of topics 😊😊 (Or, lectures that integrate various technologies or cover an entire specific domain would be even better.)
- fooInstructor
Yoni, thank you for attending the lecture! It's great you shared what you liked during the lecture. :) The various lectures you mentioned likely include the recently opened one ( https://inf.run/XHEvJ ), and I'll also try to create lectures on other topics! Thank you~!
- smh12052571
Reviews 2
∙
Average Rating 5.0
- oottagiya
Reviews 26
∙
Average Rating 3.8
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