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所在平台: Udemy |
课程主页: https://www.udemy.com/course/monitoring-apis-and-services-in-production/
课程评论：没有评论
课程名称：在生产环境中监控API和服务 课程概述：本课程将全面讲解在真实生产环境中监控API和服务所需的所有知识。无论您是开发人员、DevOps工程师还是系统管理员，了解如何有效监控和优化API及服务的性能对确保应用程序和系统的顺利运行至关重要。我们将从监控基础开始，介绍评估API和服务健康及性能的关键指标和KPI（关键绩效指标）。您将学习如何设置监控工具和仪表板，以实时洞察API和服务的行为，并创建自定义警报和通知，以快速应对出现的任何问题。 课程还将深入探讨分布式追踪、日志聚合和异常检测等高级主题，为您提供识别和解决分布式系统中复杂性能问题所需的知识和技能。您将探索微服务架构的监控最佳实践，并学习如何利用APM（应用性能监控）工具深入了解服务性能。此外，我们还将讨论混沌工程的概念及其如何用于主动识别API和服务基础设施中的弱点和潜在故障点。您将理解如何进行受控实验，以验证您的系统在真实条件下的韧性和可靠性。 通过本课程的学习，您将掌握实施全面监控策略的专业知识，从而确保API和服务在生产环境中的可靠性、可用性和性能。无论您使用的是RESTful API、SOAP服务、GraphQL或其他任何类型的面向服务架构，本课程都将为您提供优化应用程序性能和稳定性所需的知识和工具。
In this comprehensive course, you will learn everything you need to know about monitoring APIs and services in real-world production environments. Whether you are a developer, a DevOps engineer, or a system administrator, understanding how to effectively monitor and optimize the performance of APIs and services is crucial for ensuring the smooth operation of your applications and systems. We will start by covering the fundamentals of monitoring, including the key metrics and KPIs (Key Performance Indicators) that are essential for evaluating the health and performance of APIs and services. You will learn how to set up monitoring tools and dashboards to gain real-time insights into the behavior of your APIs and services, and how to create custom alerts and notifications to quickly respond to any issues that may arise. The course will also delve into advanced topics such as distributed tracing, log aggregation, and anomaly detection, providing you with the knowledge and skills needed to identify and troubleshoot complex performance issues in distributed systems. You will explore best practices for monitoring microservices architectures and learn how to leverage APM (Application Performance Monitoring) tools to gain deep visibility into the performance of your services. Moreover, we will cover the concept of chaos engineering and how it can be used to proactively identify weaknesses and potential points of failure in your API and service infrastructure. You will understand how to conduct controlled experiments to validate the resilience and reliability of your systems under real-world conditions. By the end of this course, you will have the expertise to implement comprehensive monitoring strategies that ensure the reliability, availability, and performance of your APIs and services in production environments. Whether you work with RESTful APIs, SOAP services, GraphQL, or any other type of service-oriented architecture, this course will provide you with the knowledge and tools needed to optimize the performance and stability of your applications.
