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.
By the end of this course, you will be able to:
- Implement Monitoring Systems: Configure Prometheus and Zabbix for observability
- Analyze Metrics with PromQL: Query, aggregate, and optimize performance data
- Automate Alerts and Instrumentation: Use Alertmanager and client libraries
- Build Visual Dashboards: Create interactive reports using Grafana
- Manage Centralized Logging: Deploy and operate ELK Stack pipelines
- Optimize System Reliability: Monitor, troubleshoot, and improve operations
Ideal for DevOps engineers, cloud professionals, system administrators, and IT practitioners seeking practical monitoring, observability, and logging skills.
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
显示有关单元内容的信息
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
Monitoring Tools
第 2 单元•小时 后完成
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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
显示有关单元内容的信息
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
Prometheus Fundamentals
第 3 单元•小时 后完成
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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
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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
Metrics & PromQL
第 4 单元•小时 后完成
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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
显示有关单元内容的信息
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
Instrumentation & Alerting
第 5 单元•小时 后完成
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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
显示有关单元内容的信息
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
Grafana Dashboards
第 6 单元•小时 后完成
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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
显示有关单元内容的信息
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
ELK Stack Logging
第 7 单元•小时 后完成
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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
显示有关单元内容的信息
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
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.
DevOps engineers, cloud professionals, system administrators, developers, and IT practitioners looking to build strong monitoring, observability, and logging skills for reliable, production-ready environments.
What will I be able to do after completing this course?
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.
What topics are covered in the course?
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.
Are there any prerequisites for this course?
No, it is a beginner-friendly course designed for learners new to monitoring, logging, and observability.
Will I receive a certificate after completion?
Yes, you will receive a certificate validating your expertise in Prometheus, Grafana, ELK Stack, monitoring strategies, and production-ready observability practices.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.