This Advanced Monitoring and Logging Training develops strong skills in designing, implementing, and managing modern monitoring and logging systems using Prometheus, Grafana, and the ELK Stack. You learn monitoring fundamentals, metrics collection, alerting, visualization, and centralized logging through hands-on labs and real-world demos. The course covers PromQL, instrumentation, Alertmanager, dashboard creation, log ingestion, and automation. It shows how to improve visibility, detect issues early, and maintain reliable, production-ready environments.
通过 Coursera Plus 提高技能,仅需 239 美元/年(原价 399 美元)。立即节省

您将学到什么
Implement end-to-end monitoring using Prometheus and Zabbix for real-time observability.
Query and analyze metrics with PromQL to detect performance issues early.
Configure instrumentation, alerts, and dashboards using Alertmanager and Grafana.
Deploy and manage centralized logging pipelines with the ELK Stack for reliable operations.
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有7个模块
Build strong monitoring and logging foundations in this DevOps-focused module. Learn core concepts of observability, continuous monitoring, and evaluation using tools like Prometheus and Zabbix. Explore real-world business use cases, industry applications, and system components. Gain hands-on experience setting up infrastructure monitoring to improve performance, reliability, and operational visibility in modern IT environments.
涵盖的内容
12个视频1篇阅读材料3个作业
12个视频•总计45分钟
- Kickstarting DevOps Monitoring Essentials with Prometheus•5分钟
- Learning Objectives•1分钟
- Monitoring and Logging: Overview•5分钟
- How Industries Utilize Monitoring and Logging•2分钟
- Business Use Cases•3分钟
- Understanding Continuous Monitoring and Its Components•2分钟
- Understanding Evaluation in DevOps•2分钟
- Difference Between Monitoring and Evaluation•1分钟
- Components of a Monitoring System•2分钟
- Continuous Monitoring Tools•4分钟
- Demo: Setting up Basic Infrastructure Monitoring Using Zabbix - Part 1•12分钟
- Demo: Setting up Basic Infrastructure Monitoring Using Zabbix - Part 2•5分钟
1篇阅读材料•总计10分钟
- Course Syllabus•10分钟
3个作业•总计130分钟
- Assessment for Monitoring Foundations•60分钟
- Quiz on Monitoring Basics•15分钟
- Quiz on Continuous Monitoring Essentials•55分钟
Learn how to use modern monitoring tools to track performance and reliability in this practical module. Explore types of monitoring, key metrics, alerts, and dashboards for real-time visibility. Understand how to design effective monitoring strategies, evaluate benefits, and select the right tools for different use cases. Build skills to optimize system health, detect issues early, and support data-driven operations.
涵盖的内容
7个视频3个作业
7个视频•总计19分钟
- Types of Monitoring•5分钟
- Terminologies: Metrics, Alerts, and Dashboards•1分钟
- Metrics: Introduction, Types and Use Cases•3分钟
- Deep Dive Into Alerts and Dashboards•2分钟
- Metrics, Alerts, and Dashboards: Benefits•1分钟
- Choosing the Right Monitoring Tools•3分钟
- Choosing the Right Monitoring Tools: Use Case•3分钟
3个作业•总计130分钟
- Assessment for Monitoring Tools•60分钟
- Quiz on Types, Metrics & Dashboards•15分钟
- Quiz on Alerts, Tooling & Selection•55分钟
Master Prometheus fundamentals to implement powerful monitoring and observability solutions. Learn Prometheus architecture, core components, key terminologies, and how it compares with Zabbix. Explore real-world monitoring case studies, configuration best practices, and UI usage. Gain hands-on experience configuring metric scraping and running Prometheus as a Docker container for scalable application monitoring.
涵盖的内容
13个视频3个作业
13个视频•总计36分钟
- Introduction to Prometheus•2分钟
- Terminologies in Prometheus•2分钟
- Prometheus vs Zabbix: A Comprehensive Comparison•2分钟
- Prometheus Architecture•3分钟
- Working of Prometheus•1分钟
- Components of Prometheus•5分钟
- Case Study: Enhanced Web Application Monitoring with Prometheus•3分钟
- Prometheus Configuration•1分钟
- Prometheus Configuration File•1分钟
- Basic UI Elements of Prometheus Server•1分钟
- Demo: Configuring Prometheus to Scrape and Visualize the Metrics•5分钟
- Key Takeaways•1分钟
- Lesson-End Project: Running Prometheus as a Docker Container for Monitoring•9分钟
3个作业•总计130分钟
- Assessment for Prometheus Fundamentals•60分钟
- Quiz on Prometheus Basics•15分钟
- Quiz on Prometheus Setup & Usage•55分钟
Build advanced monitoring skills with Metrics and PromQL in this hands-on module. Learn metric types, exporters, relabeling, and Node Exporter setup for efficient system monitoring. Master PromQL fundamentals, aggregation, functions, and query optimization to detect patterns and anomalies. Apply practical demos and projects to monitor Apache server metrics and extract actionable insights using Prometheus.
涵盖的内容
28个视频7个作业
28个视频•总计110分钟
- Learning Objectives•1分钟
- Introduction to Metrics and Their Uses•2分钟
- Types of Metrics•6分钟
- What Are Exporters?•1分钟
- Exporters for Efficient Monitoring•2分钟
- How Exporters Work?•2分钟
- Essential Prometheus Exporters for System Monitoring•1分钟
- Importance of Exporters•2分钟
- Categories of Exporters•3分钟
- Relabeling Pipeline in Prometheus Ecosystem•2分钟
- Relabeling Rules•1分钟
- Advanced Exporter Configurations•2分钟
- Demo: Setting up and Monitoring with Node Exporter Part 1•6分钟
- Demo: Setting up and Monitoring with Node Exporter Part 2•9分钟
- Understanding PromQL: Core Concepts, Elements and Data Types•2分钟
- Selectors and Matchers: Types and Combinations•3分钟
- Binary Operators: Arithmetic, Comparison,Logical and Set Operations•5分钟
- Filtering Labels with ignoring and on Keywords•1分钟
- Aggregation Operators•2分钟
- Functions: Types and Use Cases•5分钟
- Querying for Patterns and Anomalies•5分钟
- Optimizing Queries for Performance•2分钟
- Demo: Writing Basic Queries in PromQL•9分钟
- Demo: Writing Advanced Queries for Real-Life Use Cases•6分钟
- Demo: Writing PromQL Queries to Extract Specific Metrics from a Sample Dataset•12分钟
- Key Takeaways•2分钟
- Lesson-End Project: Monitoring Apache Server Metrics Using Prometheus - Part 1•7分钟
- Lesson-End Project: Monitoring Apache Server Metrics Using Prometheus- Part 2•10分钟
7个作业•总计190分钟
- Assessment for Metrics & PromQL•60分钟
- Quiz on Metrics Basics•15分钟
- Quiz on Exporters in Prometheus•15分钟
- Quiz on Relabeling & Setup•15分钟
- Quiz on PromQL Fundamentals•15分钟
- Quiz on PromQL Advanced•15分钟
- Quiz on PromQL Practice•55分钟
Master instrumentation and alerting with Prometheus in this advanced monitoring module. Learn how to instrument applications, use client libraries, and implement recording rules for efficient metric processing. Configure alert rules, manage notifications with Alertmanager, and integrate Pushgateway for custom metrics. Gain hands-on experience through demos and projects to build proactive, reliable, and production-ready monitoring systems.
涵盖的内容
30个视频5个作业
30个视频•总计110分钟
- Kickstarting Advanced DevOps Monitoring with Prometheus and Grafana•5分钟
- Learning Objectives•1分钟
- Instrumentation in Monitoring•2分钟
- Instrumentation Process and Its Role in Monitoring•2分钟
- Types of Instrumentation•3分钟
- Instrumentation Techniques•4分钟
- Client Libraries•3分钟
- How to Implement Instrumentation•1分钟
- Demo: Adding Instrumentation to Java Application•12分钟
- What Are Recording Rules ?•1分钟
- Key Elements of Recording Rules•1分钟
- The Role of Recording Rules in Prometheus•1分钟
- Writing Effective Recording Rules: Best Practices•6分钟
- Alerting: What It Is and How It Works•2分钟
- Defining and Configuring Alert Rules•2分钟
- Understanding Alert States and Managing Alerts with Alertmanager•3分钟
- Alert: Routing, Grouping, and Inhibition•2分钟
- Alertmanager Notification Channels: Email, Slack, and PagerDuty•1分钟
- Routing Rules•0分钟
- Demo: Configuring Alertmanager for Email Notifications•13分钟
- Introduction to Pushgateway•1分钟
- Role of Pushgateway in Prometheus Ecosystem•1分钟
- Setting up Pushgateway and Pushing Metrics with Examples•2分钟
- Automating Metric Pushing Using Client Libraries and Deployment Tools•1分钟
- Integrating Applications with Examples•2分钟
- Using Pushgateway: Challenges•1分钟
- Demo: Automating Metric Pushing with Cron Jobs•13分钟
- Key Takeaways•2分钟
- Lesson-End Project: Monitoring MySQL Database Using Prometheus and Setting Up Alerts - Part 1•11分钟
- Lesson-End Project: Monitoring MySQL Database Using Prometheus and Setting Up Alerts - Part 2•11分钟
5个作业•总计160分钟
- Assessment for Instrumentation & Alerting•60分钟
- Quiz on PromQL Practice•15分钟
- Quiz on Instrumentation in Practice•15分钟
- Quiz on Recording Rules & Alerts•15分钟
- Quiz on Pushgateway Implementation•55分钟
Master Grafana dashboards and data visualization for modern monitoring systems in this hands-on module. Learn Grafana features, installation, and data source integration with Prometheus. Build interactive dashboards, configure panels, and set up alerts for critical metrics. Gain practical experience using PromQL in Grafana and monitoring applications through real-world demos and projects.
涵盖的内容
21个视频5个作业
21个视频•总计94分钟
- Learning Objectives•1分钟
- Grafana and Its Key Features•3分钟
- Why is Grafana Important?•1分钟
- Different Types of Monitoring with Grafana•3分钟
- Metrics and Visualizations in Grafana•3分钟
- Differences between Grafana and Prometheus•3分钟
- Grafana Installation Platforms•1分钟
- Connecting Data Sources•2分钟
- Creating Dashboards and Panels in Grafana•2分钟
- Visualizing Data•5分钟
- Alerting and Notifications in Grafana•4分钟
- Demo: Setting up a Grafana Instance•7分钟
- Demo: Building a Multi-Panel Dashboard in Grafana•6分钟
- Demo: Configuring Email Alerts for Critical System Thresholds•12分钟
- Configuring Grafana to Connect to a Prometheus Instance•1分钟
- Utilizing PromQL Directly within Grafana Panels•3分钟
- Demo: Creating a Grafana Dashboard Using PromQL Queries to Visualize Specific Application Metrics•10分钟
- Demo: Setting up Docker Monitoring Using Prometheus and Grafana•10分钟
- Key Takeaways•2分钟
- Lesson-End Project: Monitoring Python Web Application Using Prometheus and Grafana - Part 1•10分钟
- Lesson-End Project: Monitoring Python Web Application Using Prometheus and Grafana - Part 2•6分钟
5个作业•总计160分钟
- Assessment for Grafana Dashboards•60分钟
- Quiz on Grafana Overview•15分钟
- Quiz on Grafana Setup•15分钟
- Quiz on Dashboards & Panels•15分钟
- Quiz on Grafana + Prometheus•55分钟
Build strong centralized logging and monitoring skills with the ELK Stack in this comprehensive module. Learn Elasticsearch, Logstash, and Kibana architecture, log ingestion, indexing, and visualization. Explore structured logging, Filebeat integration, container logging, and Kafka pipelines. Gain hands-on experience creating dashboards, automating workflows, and configuring alerts for real-time, scalable, and enterprise-ready DevOps log management.
涵盖的内容
34个视频8个作业
34个视频•总计128分钟
- Kickstarting Centralized Logging and Monitoring (ELK)•5分钟
- Learning Objectives•2分钟
- Learning Logging: Key Concepts and Practices in DevOps•6分钟
- Overview, Components, and Architecture of the ELK Stack•4分钟
- Common Use Cases of ELK Stack•1分钟
- Creating Custom Log Message Formats for ELK•3分钟
- Structured vs. Unstructured Logs: Concepts, Examples, and Benefits•5分钟
- Centralized vs. Distributed Logging: Comparison, Challenges, and Selection Guide•4分钟
- Elasticsearch: Overview, Features, Use cases, and Functionality•6分钟
- The Indexing Process in Elasticsearch•2分钟
- Demo: Setting up and Configuring Elasticsearch for Log Storage•6分钟
- Overview, Features, and Components of Logstash•5分钟
- Demo: Building Logstash Pipelines for Centralized Log Collection•5分钟
- Introduction and Key Features of Kibana•2分钟
- Combining Kibana and Elasticsearch•1分钟
- Steps for Creating Dashboards in Log Data Exploration•2分钟
- Kibana in Action Uses Real-Time Monitoring and Alerting•2分钟
- Demo: Building Dashboards and Visualizations in Kibana•8分钟
- Advanced Log Collection and Management with the ELK Stack and Filebeat•2分钟
- Integrating ELK Stack with Containers and Microservices•4分钟
- Advanced Log Collection Techniques and Why They Matter•2分钟
- Demo: Configuring Filebeat to Collect Logs from Applications and Systems•8分钟
- Integrating the ELK Stack and Automation: Introduction and Advantages•1分钟
- Integration of ELK Stack with CI/CD Pipeline•5分钟
- Apache Kafka and ELK Stack: Streamlined Log Processing and Core Components•2分钟
- Steps to Integrate Kafka with Logstash•2分钟
- Elasticsearch and Kibana: Configuration Steps•1分钟
- Alerts and Notifications Based on Log Data•1分钟
- Demo: Building an Automated Log Processing Pipeline with Kafka and ELK Stack - Part 1•9分钟
- Demo: Building an Automated Log Processing Pipeline with Kafka and ELK Stack - Part 2•6分钟
- Best Practices for Effective DevOps Logging with ELK Stack•1分钟
- Centralized Logging and Monitoring: Case Study•2分钟
- Key Takeaways•2分钟
- Lesson-End Project: Implementing Jenkins Logging using ELK Stack•13分钟
8个作业•总计205分钟
- Assessment for ELK Stack Logging•60分钟
- Quiz on Logging Foundations•15分钟
- Quiz on ELK Architecture•15分钟
- Quiz on Log Ingestion•15分钟
- Quiz on Visualization & Monitoring•15分钟
- Quiz on Advanced ELK•15分钟
- Quiz on ELK Automation•15分钟
- Quiz on Alerts•55分钟
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师

提供方

提供方

Simplilearn is a global leader in digital upskilling, offering highly specialized training in emerging technologies and processes shaping the digital economy's future. We focus on innovations transforming the digital landscape while significantly reducing costs and time compared to traditional methods. More than one million professionals and 2,000 corporate training organizations have benefited from our award-winning programs to achieve their career and business goals.
从 Software Development 浏览更多内容
SSimplilearn
课程

课程

课程
SSimplilearn
课程
人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
常见问题
DevOps engineers, cloud professionals, system administrators, developers, and IT practitioners looking to build strong monitoring, observability, and logging skills for reliable, production-ready environments.
Design and implement monitoring systems using Prometheus and Zabbix, analyze metrics with PromQL, configure alerting and instrumentation, build Grafana dashboards, and manage centralized logging with the ELK Stack.
Monitoring foundations, Prometheus architecture, PromQL, Docker-based setup, Apache server monitoring, client libraries, alert rules, Grafana dashboards, data visualization, Elasticsearch, Logstash, Kibana architecture, and Kafka pipelines.
No, it is a beginner-friendly course designed for learners new to monitoring, logging, and observability.
Yes, you will receive a certificate validating your expertise in Prometheus, Grafana, ELK Stack, monitoring strategies, and production-ready observability practices.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金,
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。


