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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/monitoring-and-observability-for-development-and-devops
课程评论：没有评论
课程名称：应用与DevOps监控和可观察性 概述：应用程序开发者和DevOps专业人员必须确保他们的应用程序以最佳状态运行。然而，这些应用可能面临bug、速度慢或性能差的挑战。因此，专业人员需要持续监控和观察应用程序的性能。 应用监控涉及识别、衡量和评估应用程序的有效性。可观察性则指一个应用通过监控获得的数据，能够被多好地观察。监控和可观察性是开发和运维过程中至关重要的两个方面。 课程大纲： 1. **监控引论**：学习应用监控的基本概念、常用术语及其对开发者的重要性，了解监控的四个黄金信号，并区分监控和评估的过程及其组成部分。 2. **监控系统与技术**：探讨合成监控的重要性和工具，学习如何利用Prometheus和Grafana进行有效的应用监控，并了解警报系统的运作。 3. **日志学的方法与工具**：深入了解应用日志的重要性与分布式日志的概念，学习日志的格式、存储及保留最佳实践。 4. **可观察性与概念**：学习可观察性的优势、三大支柱及其在云原生环境中的应用，探索遥测和分布式追踪工具的区别及最佳实践。 5. **期末项目与评估**：通过实践项目运用监控和可观察性技能，设置Instana帐户，监控Robotshop应用的过程，增强监控应用性能的实战能力。 本课程旨在帮助参与者掌握监控与可观察性的核心技能，以优化应用性能和提升数据驱动的决策能力。
Name: Introduction to Monitoring for Applications
Description: This week, you will be introduced to application monitoring, common terms used in monitoring, and why monitoring matters to developers. You'll also learn about the types of monitoring that give you visibility into app performance and connected information technology (IT) systems. You'll become familiar with the four Golden Signals of Monitoring and learn to use the Golden Signals to improve your monitoring systems. Then, you will explore the differences between the Monitoring and Evaluation processes. You'll learn that monitoring is a routine, ongoing process, while evaluation is a long-term process. You'll learn more about the components of monitoring, including metrics, observability, and alerts. You'll also explore the importance of tracking host-based, application, network and connectivity, and server pool metrics. Finally, you'll learn about the need for application monitoring and its importance.
Name:Monitoring Systems and Techniques
Description: This week, you will learn about synthetic monitoring and its importance. You’ll also explore the synthetic monitoring tools, their uses, as well as features. You will gain insights into how application monitoring allows developers to observe applications and how monitoring can provide valuable insights into application performance. You’ll learn about Prometheus and the benefits of using an analytics tool. You’ll also learn about Grafana, which is typically used with Prometheus. You’ll explore how a visualization tool, like Grafana, can organize all of your monitoring data. Additionally, you’ll discover how the right visualization tool can help your organization and that visualization includes many options, like charts, graphs, and timelines. Finally, you’ll learn about alerting, the responsive part of a monitoring system, and you’ll learn about the metric, log, activity log, and smart detection alerts.
Name:Methodologies and Tools in Logging
Description:In this module, you will explore the concept of application logging and its importance. You will discover the benefits of using log monitoring tools and their features. Further, you will be introduced to distributed logging and tracing techniques. You’ll also learn about the key concepts in distributed tracing and the steps to implement distributed logging. You will explore how to implement logging and the different types of logs. You will gain insight into formatting, parsing, and retention of logs. Further, you will identify the major reasons to store log data. You will explore the analytical dimensions that suggest how long the retention period for log data should be. You will also learn about a few best practices for storing logs. Further, you will explore Mezmo, its use cases, and its features. Finally, you will be introduced to working with Mezmo and the methods for ingesting log data on the Mezmo platform.
Name:Observability and Concepts
Description: In this module, you will learn about observability, its benefits, and the three pillars of observability. You’ll explore the concept of cloud native observability, its tools, and the pillars of cloud enterprise observability Further, you will be introduced to the concept of sampling in logging and its advantages and disadvantages and also learn about Instana and its use cases. You will gain insights into Telemetry and explain its importance and benefits. You will discover the working of telemetry and the steps to implement it in application development. You will also differentiate between distributed tracing and telemetry while learning about popular telemetry and distributed tracing tools. You will explore why tracing for container applications is required and the best practices for implementing tracing in application development.
Name:Final Project and Assessment
Description:In this module, you’ll complete two practice projects where you'll be able to apply monitoring and observability skills using applicable tools. In the first part, you will create and set up an Instana account to explore the credentials for application and infrastructure monitoring. You will also get the opportunity to create an Instana dashboard and a website and save their credentials for future use. In the next part, you will explore Instana to monitor an application named Robotshop using Docker. You will delve into the process of connecting the Robotshop application with Instana for efficient monitoring and analysis. Using Docker commands in the terminal, you will establish a seamless connection between the Instana dashboard and the Robotshop application. This hands-on practice project will equip you with the knowledge and skills to monitor your application's performance effectively and make data-driven decisions to optimize its efficiency.
Application developers and DevOps professionals must ensure their app works at its best. However, these app may need help with bugs, slow speed, or subpar performance. Professionals need to monitor and observe its performance continually. Application monitoring involves identifying, measuring, and evaluating the effectiveness of an application. On the other hand, Observability refers to how well an app can be monitored by the data obtained from monitoring. Both monitoring and observability are
