We may earn an affiliate commission when you visit our partners.
Course image
TechLink Selenium | DevOps | GenAI

“Master Grafana for Observability: Build Dashboards, Monitor Systems, and Automate Alerts Like a Pro. ”

Grafana is the go-to open-source platform for visualizing, monitoring, and analyzing metrics across diverse data sources. Whether you're an SRE, DevOps engineer, system administrator, or cloud architect, mastering Grafana can significantly boost your observability skills and streamline incident management.

Why Take This Course?

Read more

“Master Grafana for Observability: Build Dashboards, Monitor Systems, and Automate Alerts Like a Pro. ”

Grafana is the go-to open-source platform for visualizing, monitoring, and analyzing metrics across diverse data sources. Whether you're an SRE, DevOps engineer, system administrator, or cloud architect, mastering Grafana can significantly boost your observability skills and streamline incident management.

Why Take This Course?

This is a “Learn by Example” course where I not only explain concepts but also demonstrate them with real-world scenarios. You’ll see each concept in action and follow along by copying and pasting commands directly from my accompanying documentation to replicate the same results.

By the end of this course, you’ll not only understand the fundamentals of Grafana but also have a fully functional Grafana server in the cloud, equipped with SSL, a domain name, and multiple data sources configured—ready for advanced observability tasks.What You’ll Learn:

Installing Grafana using packages and setting up a secure server.Setting Up a Domain Name & SSL Certificate to secure your Grafana instance.Exploring Panel Types – Graphs, Stats, Gauges, Tables, Heatmaps, and Logs.Configuring Multiple Data Sources – MySQL, Zabbix, InfluxDB, Prometheus, and Loki.Setting Up Collection Agents – Telegraf, Promtail, Node Exporters, SNMP Agents, and more.Time Series vs. Non-Time Series Data – Learn key differences and best practices.Experimenting with Dashboards – Use community dashboards and create your own.Monitoring SNMP Devices – Using Telegraf Agents and InfluxDB Data Sources.Integrating Elasticsearch with Filebeat and Metricbeat Services for log management.Annotation Queries and Panel Linking – Link logs and graphs for correlated insights.Dynamic Dashboard Variables & Graphs – Create interactive, responsive dashboards.Using Value Groups/Tags to manage different data sources efficiently.Setting Up Alerts & Notifications – Configure contact points and detect offline devices.Receiving Email Alerts using a local SMTP server for real-time notifications.

Real-World Use Cases Covered:

  • Monitoring Kubernetes Clusters with Prometheus and Grafana.

  • Tracking System Performance with Node Exporters and Telegraf.

  • Configuring SNMP Device Monitoring with InfluxDB.

  • Analyzing Logs and Events from Elasticsearch and Loki.

  • Setting Up Alerting Systems with Email, Slack, and Webhooks.

What You’ll Achieve:

By the end of this course, you will:

  1. Have a dedicated Grafana server hosted in the cloud with SSL and a custom domain.

  2. Configure and manage various data sources and collectors with ease.

  3. Create dynamic dashboards and alerts for a complete observability solution.

  4. Be fully equipped to take your Grafana skills to the next level.

Join me in this hands-on journey where you’ll gain practical experience, sharpen your monitoring and alerting skills, and become a Grafana pro.

Enroll now and start mastering Grafana today.

Enroll now

What's inside

Learning objectives

  • Grafana basics & ui navigation
  • Connecting & managing data sources
  • Building stunning grafana dashboards
  • Query building & data transformation
  • Securing & scaling grafana
  • Real-world use cases & projects

Syllabus

Introduction to Grafana
Introduction - What you will Learn
Meet Grafana: The Artist of Metrics & Logs
Why Use Grafana? Key Features, Benefits, and Comparisons
Read more

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Activities

Coming soon We're preparing activities for Grafana Masterclass: Observability, Monitoring, Alerts. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Grafana Masterclass: Observability, Monitoring, Alerts will develop knowledge and skills that may be useful to these careers:
Monitoring Engineer
A Monitoring Engineer specializes in designing, implementing, and maintaining systems that track the performance, availability, and health of IT infrastructure and applications. This role is a direct fit for the Grafana Masterclass. The course provides comprehensive training in leveraging Grafana for visualizing metrics, logs, and traces from diverse sources, including Prometheus, Loki, InfluxDB, and Elasticsearch. Learners gain expertise in creating custom dashboards, configuring collection agents such as Telegraf and Promtail, and setting up advanced alerting and notification systems. This hands-on experience is fundamental for anyone aspiring to build, manage, and optimize sophisticated observability platforms.
Observability Engineer
An Observability Engineer focuses on creating comprehensive insights into the internal states of systems by collecting and analyzing metrics, logs, and traces. This role is a perfect match for the Grafana Masterclass, which emphasizes building a complete observability solution. The course covers integrating various data sources, including time-series data from InfluxDB and logs from Loki and Elasticsearch, and linking them for correlated insights using annotation queries. By mastering dynamic dashboard creation, query building, and advanced alerting, learners are excellently prepared to design and implement robust observability frameworks essential for understanding complex distributed systems.
Site Reliability Engineer
A Site Reliability Engineer ensures that software systems are reliable, available, and performant. This role deeply involves proactively identifying and resolving operational issues, often by leveraging comprehensive monitoring and alerting systems. This Grafana Masterclass is highly relevant, as it provides practical skills in building dynamic dashboards, configuring diverse data sources like Prometheus and Loki, and setting up real-time alerts. Mastering Grafana, as taught in this course, helps one excel in analyzing system metrics, logs, and traces to prevent incidents and respond effectively when they occur, directly contributing to maintaining critical service uptime and optimizing system health.
Application Performance Management Specialist
An Application Performance Management Specialist focuses on monitoring and managing the performance and availability of software applications. This involves tracking key metrics, identifying bottlenecks, and ensuring a seamless user experience. The Grafana Masterclass provides excellent preparation for this role, teaching how to configure Grafana with various data sources relevant to application components, such as databases and servers. Expertise in building real-time dashboards to visualize application health, analyzing logs, and setting up alerts for performance degradation or errors, as thoroughly covered in this course, is fundamental for proactive application management and rapid incident resolution.
DevOps Engineer
A DevOps Engineer streamlines the software development lifecycle, focusing on automation, infrastructure as code, and continuous integration and deployment. A core aspect of this role is ensuring the operational health and performance of deployed applications and infrastructure. This course equips future DevOps Engineers with hands-on experience in using Grafana for observability, monitoring Kubernetes clusters and system performance with agents like Telegraf and Node Exporters, and configuring robust alerting systems. These skills are essential for proactive incident management, performance optimization, and integrating monitoring into the CI/CD pipeline, making the course a foundational step for those aiming to excel in this dynamic field.
Infrastructure Engineer
An Infrastructure Engineer designs, builds, and maintains the fundamental technology components that support an organization's applications and services. A critical part of this responsibility involves ensuring the health and performance of the underlying infrastructure. The Grafana Masterclass offers practical skills in monitoring key infrastructure components, from servers to databases like MySQL and SNMP devices, using various collection agents. Learning to configure a secure Grafana instance, integrate multiple data sources, and create real-time dashboards and alerts is invaluable for proactively managing infrastructure health, optimizing resource utilization, and responding swiftly to operational issues.
Platform Engineer
A Platform Engineer builds and maintains the tooling, infrastructure, and services that enable development teams to build and deploy applications efficiently. Central to this role is ensuring the reliability and performance of the underlying platform components. The Grafana Masterclass provides crucial skills in establishing comprehensive observability for platform services, including Kubernetes clusters with Prometheus, and monitoring system performance with Node Exporters and Telegraf. Mastering dynamic dashboard creation, query building, and advanced alerting, as taught in this course, is vital for Platform Engineers to provide robust, self-service monitoring capabilities and maintain high operational standards.
System Administrator
A System Administrator is responsible for the upkeep, configuration, and reliable operation of computer systems, especially multi-user computers such as servers. Ensuring system stability, performance, and security heavily relies on robust monitoring capabilities. The Grafana Masterclass directly addresses these needs by teaching how to install and secure Grafana servers, configure data sources for various systems like MySQL and SNMP devices, and create insightful dashboards to visualize real-time server states. Developing expertise in setting up alerts for offline devices and performance anomalies, as covered in this course, is invaluable for maintaining efficient and resilient IT infrastructure.
Cloud Architect
A Cloud Architect designs and oversees the cloud computing strategy of an organization, including infrastructure, platforms, and software. In a distributed cloud environment, comprehensive observability is crucial for performance, cost optimization, and reliability. This course, by teaching how to host a Grafana server in the cloud with SSL and custom domains, and integrate with various data sources relevant to cloud services like Prometheus for Kubernetes monitoring, provides practical experience. Understanding how to build dynamic dashboards and configure alerts for complex cloud environments, as detailed in the Grafana Masterclass, is vital for designing resilient, scalable, and highly observable cloud solutions.
Data Visualization Specialist
A Data Visualization Specialist focuses on transforming complex data into clear, insightful visual representations that aid decision-making. Grafana is a powerful tool for this purpose, specifically for operational and time-series data. This Grafana Masterclass is highly relevant by teaching how to build stunning Grafana dashboards, explore various panel types like graphs, stats, gauges, tables, and heatmaps, and integrate multiple data sources. The course's emphasis on creating dynamic dashboards with variables and leveraging advanced querying for data transformation provides essential skills for anyone aiming to craft compelling and interactive data visualizations for monitoring or analytical purposes.
Network Operations Center Analyst
A Network Operations Center Analyst monitors network and system health around the clock, identifying and addressing issues to ensure continuous service availability. This role heavily relies on dashboarding and alerting tools to gain real-time insights into infrastructure performance. The Grafana Masterclass may be useful by teaching how to configure data sources for system performance, visualize time-series data, and set up alerts for critical events, including detecting offline devices. These skills help build a foundational understanding of how to interpret complex operational data and respond to automated notifications, which is essential for ensuring network and system uptime.
Operations Analyst
An Operations Analyst examines an organization's operational data to identify trends, inefficiencies, and areas for improvement. In technology-driven operations, this often involves interpreting system health and performance metrics. The Grafana Masterclass may be useful by providing practical skills in using Grafana to create dashboards for visualizing operational data, monitoring real-time system states, and configuring alerts for anomalies. This course can help build a foundation in data interpretation and visualization for operational contexts, enabling an Operations Analyst to better assess system performance, understand underlying issues, and contribute to data-driven operational decision-making.
Technical Support Engineer Level Three
A Technical Support Engineer Level Three handles complex technical issues, requiring deep diagnostic skills and the ability to interpret system behaviors. Analyzing logs, metrics, and performance dashboards is often key to resolving high-level problems. This Grafana Masterclass may be useful by teaching how to configure and interpret Grafana dashboards for monitoring system performance and analyzing logs from sources like Elasticsearch and Loki. Gaining proficiency in annotation queries and panel linking for correlated insights can significantly enhance a Technical Support Engineer Level Three's ability to quickly identify root causes and provide effective solutions for critical incidents.
Database Administrator
A Database Administrator is responsible for the performance, integrity, and security of databases. Proactive monitoring of database health and query performance is essential for maintaining efficient data operations. This Grafana Masterclass may be useful by providing hands-on experience in setting up Grafana for MySQL database monitoring, including preparing dashboards to visualize database load and performance metrics. Learning to integrate various data sources and configure real-time alerts can significantly enhance a Database Administrator's ability to identify bottlenecks, troubleshoot issues, and ensure the continuous availability and optimal performance of critical database systems.
Software Engineer - Backend
A Software Engineer Backend designs, builds, and maintains the server-side logic and databases that power applications. While primarily focused on code, understanding how to monitor the performance and reliability of these systems in production is increasingly important. This Grafana Masterclass may be useful by providing insights into visualizing application metrics, analyzing logs through Loki and Elasticsearch, and understanding how alerting systems function. These skills can help a Software Engineer Backend design more observable applications and collaborate effectively with operations teams, ensuring their backend services are robust, performant, and easily diagnosable in production environments.

Reading list

We haven't picked any books for this reading list yet.
Provides a comprehensive overview of observability engineering, covering concepts, best practices, and tools. It is helpful for understanding the fundamentals of observability and how to apply them in practice.
Logs are a fundamental signal in observability. focuses on practical logging with modern tools and environments like Kubernetes. It's a valuable resource for understanding and implementing effective logging strategies as part of an observability system.
While this book focuses on metrics, it also covers the role of metrics in observability. It provides guidance on how to collect, analyze, and visualize metrics to improve the performance and reliability of software systems.
While this book focuses on performance engineering, it also covers the role of observability in performance engineering. It provides guidance on how to use observability tools and techniques to improve the performance of software systems.
Is considered a foundational text in the field of observability. It provides a comprehensive overview of what observability is, how it differs from traditional monitoring, and its importance in modern software systems. It's highly valuable for gaining a broad understanding and must-read for anyone serious about the topic. The book also discusses the cultural shifts required for adopting observability practices within an organization.
Focusing specifically on distributed tracing, a key pillar of observability, this book provides practical guidance on instrumenting code, collecting data, and analyzing traces in microservices architectures. It's essential for deepening understanding of one of the core components of observability and valuable reference for developers and operations teams.
As OpenTelemetry is the emerging standard for cloud-native observability, this book is highly relevant for contemporary practices. It offers a practical guide to setting up and operating OpenTelemetry, covering tracing, metrics, and logging. It's a must-read for those implementing observability with open standards.
While not solely focused on 'observability,' this book provides a strong foundation in monitoring, which prerequisite for understanding observability. It offers pragmatic, tool-agnostic advice on improving monitoring practices. It's valuable for those needing background knowledge or looking to enhance their existing monitoring setups.
SRE principles are closely related to observability, as SRE teams heavily rely on signals from systems to ensure reliability. This book, a classic in the SRE field, provides valuable context on how observability is used in practice in large-scale systems. It's excellent for understanding the operational strategies that observability supports.
A companion to the SRE book, this workbook offers practical exercises and examples for implementing SRE practices, many of which involve leveraging observability data. It helps solidify the understanding of how observability fits into a broader reliability strategy.
Focuses on applying observability specifically in cloud-native environments, which contemporary and highly relevant topic. It covers using open-source tools like OpenTelemetry, Prometheus, and Grafana. It's a practical guide for those working with cloud-native applications.
Prometheus widely used monitoring system in the cloud-native space, often a component of an observability stack. provides a deep dive into Prometheus, which is valuable for understanding the metrics aspect of observability and useful reference for practitioners.
While an older publication, this book classic in the monitoring space and provides foundational knowledge on time-series data and graphing, relevant to the metrics aspect of observability. It's more valuable as historical context and foundational understanding than a current reference for modern tools.
While this book focuses on site reliability engineering, it also covers the role of observability in SRE. It provides practical guidance on implementing observability solutions and best practices.
Another book dedicated to distributed tracing, this offers a comprehensive guide from a key figure in the OpenTracing and Jaeger projects. It delves into the theoretical foundations and practical implementation of tracing at scale. It's excellent for deepening understanding and strong reference.
Provides a theoretical and practical approach to monitoring and alerting, which are crucial components that leverage observability data. It helps in understanding how to effectively use the information gained from observable systems.
Chaos engineering discipline that heavily relies on observability to understand system behavior under turbulent conditions. This book, written by pioneers in the field, provides insights into how observability is essential for practicing chaos engineering effectively. It's relevant for understanding advanced operational practices.
Focuses on observability within network infrastructure, a specific but important domain. It provides practical guidance using popular open-source tools. It's valuable for network professionals and those seeking to apply observability principles beyond applications.
Focuses on the practical implementation of observability in software systems. It provides real-world examples and case studies on how to use observability tools and techniques.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser