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Amazon Managed Grafana is a fully managed service based on open-source Grafana. You can use Amazon Managed Grafana to analyze your metrics, logs, and traces without having to provision servers, or configure and update software. You can avoid the heavy lifting involved in securing and scaling Grafana in production. Amazon Managed Grafana also supports data sources for hybrid and multi-cloud environments.

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Amazon Managed Grafana is a fully managed service based on open-source Grafana. You can use Amazon Managed Grafana to analyze your metrics, logs, and traces without having to provision servers, or configure and update software. You can avoid the heavy lifting involved in securing and scaling Grafana in production. Amazon Managed Grafana also supports data sources for hybrid and multi-cloud environments.

In this course, you will review the basics of Amazon Managed Grafana, explore the business and technical challenges it can help you solve, and learn about its benefits and technical concepts. If you are new to the service, you will learn how to start using Amazon Managed Grafana through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify data visualization.

Before beginning this course, you must complete the Getting Started with Amazon Managed Service for Prometheus(opens in a new tab) course on AWS Skill Builder. To ensure a comprehensive learning experience, please sign in to AWS Skill Builder(opens in a new tab) and successfully finish this course.

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What's inside

Syllabus

Amazon Managed Grafana - Getting Started

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Meets the industry standard by utilizing open-source Grafana
Removes operational burden of server provisioning and software maintenance
Facilitates hybrid and multi-cloud data analysis
Prerequisites need to be completed through Getting Started with Amazon Managed Service for Prometheus

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Amazon Managed Grafana - Getting Started with these activities:
Create a Resource List for Amazon Managed Grafana
Compile a list of resources (e.g., documentation, blog posts, tutorials) related to Amazon Managed Grafana, providing a valuable reference for future learning and exploration.
Show steps
  • Search for relevant resources on AWS documentation and other online sources.
  • Organize the resources into categories (e.g., getting started, advanced use cases, troubleshooting).
  • Create a document or spreadsheet to store the list.
Review AWS Management Console Basics
Review the basics of the AWS Management Console to ensure familiarity with the platform.
Show steps
  • Log in to the AWS Management Console.
  • Navigate through the main sections of the console.
  • Create a new user and group.
Complete the Amazon Managed Grafana Getting Started Tutorial
Follow the AWS tutorial to gain hands-on experience setting up and using Amazon Managed Grafana.
Show steps
  • Create an Amazon Managed Grafana workspace.
  • Add a data source to your workspace.
  • Create a dashboard and add visualizations.
Four other activities
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Join an Amazon Managed Grafana Study Group
Connect with fellow learners through a study group, engaging in discussions, sharing knowledge, and supporting each other's understanding of Amazon Managed Grafana.
Show steps
  • Find or create a study group on a platform like Discord or study groups.
  • Set regular meeting times to discuss course material and work on projects.
  • Collaborate on assignments and provide feedback to each other.
Build a Dashboard for a Sample Dataset
Create a dashboard to visualize metrics and logs from a sample dataset, demonstrating your understanding of Amazon Managed Grafana's features.
Browse courses on Data Visualization
Show steps
  • Choose a sample dataset.
  • Import the data into Amazon Managed Grafana.
  • Create visualizations and organize them into a dashboard.
  • Share your dashboard with others.
Analyze Logs and Metrics Using Amazon Managed Grafana
Practice using Amazon Managed Grafana to analyze logs and metrics from a real-world application, improving your analytical skills and understanding of the service.
Browse courses on Data Analysis
Show steps
  • Create visualizations to analyze log data.
  • Set up a data source for your application metrics.
  • Set up a data source for your application logs.
  • Create visualizations to analyze metric data.
  • Identify trends and patterns in the data.
Contribute to the Amazon Managed Grafana GitHub Repository
Engage in the Amazon Managed Grafana community by contributing to its open-source repository, gaining practical experience and showcasing your understanding of the service.
Show steps
  • Find an issue or feature request on the GitHub repository.
  • Create a pull request to address the issue or implement the feature.
  • Follow the code review process and make necessary changes.
  • Get your contribution merged into the main branch.

Career center

Learners who complete Amazon Managed Grafana - Getting Started will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to build models and algorithms that can solve business problems. They use data visualization tools like Amazon Managed Grafana to explore data and to communicate insights to stakeholders. Taking the Amazon Managed Grafana - Getting Started course can help Data Scientists learn how to use this powerful tool to improve their data exploration and communication skills.
Business Analyst
Business Analysts help businesses improve their performance by analyzing data and identifying areas for improvement. They use data visualization tools like Amazon Managed Grafana to create dashboards and reports that communicate insights to stakeholders. Taking the Amazon Managed Grafana - Getting Started course can help Business Analysts learn how to use this powerful tool to improve their data analysis and communication skills.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use data visualization tools like Amazon Managed Grafana to monitor the performance of their applications and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help Software Engineers learn how to use this powerful tool to improve their monitoring and troubleshooting skills.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use data visualization tools like Amazon Managed Grafana to create dashboards and reports that communicate insights to stakeholders. Taking the Amazon Managed Grafana - Getting Started course can help Data Analysts learn how to use this powerful tool to improve their data analysis and communication skills.
Data Engineer
Data Engineers design and build the infrastructure and systems that store and process data. They use data visualization tools like Amazon Managed Grafana to monitor the performance of their systems and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help Data Engineers learn how to use this powerful tool to improve their monitoring and troubleshooting skills.
Network Engineer
Network Engineers design, build, and maintain computer networks. They use data visualization tools like Amazon Managed Grafana to monitor the performance of their networks and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help Network Engineers learn how to use this powerful tool to improve their monitoring and troubleshooting skills.
Security Analyst
Security Analysts monitor and analyze computer systems and networks for security threats. They use data visualization tools like Amazon Managed Grafana to visualize security data and to identify potential threats. Taking the Amazon Managed Grafana - Getting Started course can help Security Analysts learn how to use this powerful tool to improve their monitoring and threat detection skills.
System Administrator
System Administrators are responsible for the day-to-day operation of computer systems and networks. They use data visualization tools like Amazon Managed Grafana to monitor the performance of their systems and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help System Administrators learn how to use this powerful tool to improve their monitoring and troubleshooting skills.
Technical Support Specialist
Technical Support Specialists provide technical support to users of computer systems and networks. They use data visualization tools like Amazon Managed Grafana to troubleshoot problems and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help Technical Support Specialists learn how to use this powerful tool to improve their troubleshooting skills.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use data visualization tools like Amazon Managed Grafana to monitor the performance of applications and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help DevOps Engineers learn how to use this powerful tool to improve their monitoring and troubleshooting skills.
IT Manager
IT Managers are responsible for the planning, implementation, and maintenance of IT systems. They use data visualization tools like Amazon Managed Grafana to monitor the performance of their systems and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help IT Managers learn how to use this powerful tool to improve their monitoring and troubleshooting skills.
Data Visualization Specialist
Data Visualization Specialists design and create data visualizations that communicate insights to stakeholders. They use data visualization tools like Amazon Managed Grafana to create dashboards and reports that are visually appealing and easy to understand. Taking the Amazon Managed Grafana - Getting Started course can help Data Visualization Specialists learn how to use this powerful tool to improve their data visualization skills.
Business Intelligence Analyst
Business Intelligence Analysts help businesses make informed decisions by analyzing data. They use data visualization tools like Amazon Managed Grafana to create dashboards and reports that communicate insights to stakeholders. Taking the Amazon Managed Grafana - Getting Started course can help Business Intelligence Analysts learn how to use this powerful tool to improve their data analysis and communication skills.
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate computer systems and software to ensure that they meet quality standards. They use data visualization tools like Amazon Managed Grafana to track defects and to identify areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help Quality Assurance Analysts learn how to use this powerful tool to improve their testing and defect tracking skills.
Performance Analyst
Performance Analysts monitor and analyze the performance of computer systems and networks. They use data visualization tools like Amazon Managed Grafana to identify bottlenecks and areas for improvement. Taking the Amazon Managed Grafana - Getting Started course can help Performance Analysts learn how to use this powerful tool to improve their monitoring and troubleshooting skills.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Amazon Managed Grafana - Getting Started.
Covers the principles and practices of observability, including metrics, logs, and traces, and how to use them to improve system performance and reliability.
A comprehensive guide to the principles and practices of site reliability engineering, including monitoring, alerting, and incident response.
A practical guide to DevOps principles and practices, including continuous delivery, automation, and collaboration.
Covers the fundamentals of cloud-native development in Java, including microservices, containers, and Kubernetes.
A practical guide to deploying and managing containerized applications using Kubernetes.
A comprehensive guide to Docker, including its architecture, features, and best practices.
A comprehensive guide to monitoring and observability, including metrics, logs, and traces.

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