서버리스 컴퓨팅에서 모니터링과 디버깅이란?

Monitoring and debugging in serverless computing is the process of finding and resolving problems in the cloud functions and any other services that they work with. This is important because functions can only run at the time of exectution in a serverless enviroment, which requires monitoring the function, the resources being used, as well as any errors.

The following are the main aspects of serverless monitoring and debugging:

• 분산 추적: 여러 기능, 서비스, 클라우드 리소스에서 요청 추적을 가능하게 합니다.
• 실시간 로그 및 메트릭: Provide information on function performance, what resources have been utilized, and if there have been any errors.
• Error Tracking and Alerting Finds and reports errors, initiating workflows for analysis and correction.
• Debugging and Troubleshooting Tools used to locate and correct bugs within serverless applications.
• 성능 모니터링 Evaluates user interactions within the application and how resources are being used.

Implementations:

• A B2B e-commerce platform where serverless functions manage tasks such as image and order processing as well as payment transactions. This is advised for understanding how customers are connecting and to give them consistent delivery service and can also identigy any problems. 
• IoT devices send data to the backend for analysis and is then stored for further use. Debugging supports the data accuracy and consistency, while minimizing errors of any kind.

장점과 단점은 다음과 같습니다.

장점:

• 선제적 문제 감지: 사용자 경험에 영향을 미칠 수 있는 잠재적 문제와 오류를 파악하고 평가합니다.
• 효율성 최적화: 효율성을 향상시킬 수 있는 리소스 성능 데이터를 수집하고 분석합니다.
• 간소화된 문제 해결: 분산 추적 및 로깅을 사용하여 오류 식별 및 문제 해결을 신속하게 처리합니다.
• 관찰 기능: 애플리케이션의 내부 작동과 동작을 관찰하여 더 나은 제어와 의사 결정을 가능하게 합니다.

제한 사항:

• 복잡성: As serverless solutions are typically multipurpose and highly diverse, it can take more time to identify problems with requests in comparison with simpler and less layered architectures.
• 비용: Monitoring and debugging tools may be an additional cost, especially for large applications.
• 툴링: It can also be quite complex, at some point, to determine the appropriate tools to apply and how to apply them to your functions.

Debugging code in the serverless cloud can be challenging and sometimes require several approaches outside the usual methods. This is due to the distribution an nature of serverless functions.

Use the tools that come with the cloud platform, such as Amazon CloudWatch or Azure Monitor, and also consider third-party tools for a thorough way of monitoring and debugging.

Monitoring serverless functions by using the tools offered by the cloud provider, third-party tools, and custom metrics and logs.

Each one serves a different purpose:

• Cloud Provider Tools Provide basic 모니터링 및 로깅 functions for your 클라우드 환경에서.
• Third-party offerings Provides advanced features and integrations that offer in-depth insights and statistics.
• Custom Metrics & Logs Allows you to analyze data related to application performance.

AWS 람다 reports metrics through Amazon CloudWatch for basic monitoring, where tools such as Lumigo deliver an enhanced experience.

Use the tools offered by your cloud provider to monitor cloud resources, and consider third-party tools as your workload expands.

가시성을 향상하려면:

• Implement Distributed Tracing Track any requests across functions and services for optimization and visibility of an integrated system.
• Centralize Logging 소프트웨어 전반의 다양한 기능과 서비스에서 로그를 수집하여 중앙 로깅 영역에 저장.
• Define and Collect Custom Metrics 애플리케이션 성능 및 동작에 대한 특정 정보 수집.
• Set Up Alerting and Anomaly Detection 가능한 문제에 대한 알림을 받고 머신러닝을 사용하여 규범에 부합하지 않는 패턴 분석.
• Observability is key 이 모드는 애플리케이션이 어떻게 실행되는지, 애플리케이션이 제시하는 문제에 대한 아이디어를 얻는 데 도움이 됩니다.

Consider open-source tools such as OpenTelemetry for distributed tracing and Prometheus for gathering metrics.

Use monitoring and debugging as best practices when working with 서버리스 애플리케이션. By doint this, the program’s performance and user experience is improved.