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Google Cloud Training

二部構成でお届けする「Observability in Google Cloud」コースの第 2 部へようこそ。 このコースでは、Error Reporting、Cloud Trace、Cloud Profiler などのアプリケーション パフォーマンス管理ツールについて学びます。

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What's inside

Syllabus

はじめに
「Logging, Monitoring and Observability in Google Cloud」へようこそ。ここでは前提条件、対象者、コースの目標について説明します。
オブザーバビリティのための Google Cloud サービスの構成
このモジュールでは、少し時間をかけて、オブザーバビリティのための Google Cloud サービスの構成について詳しく見ていきます。
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Google Cloud ネットワークのモニタリング
モニタリングの目的は、Google Cloud 内でスピンアップしているリソースの稼働状況を詳しく把握することです。このモジュールでは、プロジェクト アーキテクチャをモニタリングする際のオプションとベスト プラクティスを確認します。また、モニタリングに関して誰が何をできるかを決定するために必要となる、主要な Cloud IAM ロールを見分けます。これは、アーキテクチャと同じく、あらかじめ行っておかなければならない重要なステップです。さらに、Google が作成したデフォルトのダッシュボードのいくつかを確認し、適切に使用する方法を見ていきます。その後、リソースの使用状況とアプリケーションの負荷を示すグラフを作成し、それらを使用してカスタム ダッシュボードを構築します。最後に、有効性とレイテンシを追跡する稼働時間チェックを定義します。
アプリケーションのパフォーマンスに関する問題の調査
Google Cloud にアプリケーションをデプロイする際にアプリケーション パフォーマンス管理プロダクトを使用すると、コードとサービスの稼働状況に関する分析情報を取得し、必要に応じてトラブルシューティングを行うことができます。
モニタリング費用の最適化
この最後のモジュールでは、Google Cloud のオペレーション スイートの費用の最適化について説明します。具体的には、Google Cloud 内のオペレーション関連コンポーネントのリソースを使用する場合の費用を分析し、Google Cloud 内のオペレーションの費用を抑えるためのベスト プラクティスを実装する方法を学びます。
コースのまとめ
このコースで取り扱ったトピックをまとめます。

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and tools for monitoring and managing applications
Examines critical aspects of Google Cloud, including performance management, monitoring, and error reporting
Helps learners optimize costs associated with Google Cloud monitoring services
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing
Requires no prerequisites, making it suitable for learners with varying levels of experience

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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 Observability in Google Cloud - 日本語版 with these activities:
Seek Mentorship from Observability Experts
Accelerate your learning by connecting with experienced observability experts and seeking their guidance.
Browse courses on Mentorship
Show steps
  • Identify and reach out to potential mentors in the field of observability.
  • Convey your interest in learning and growing under their mentorship.
  • Establish clear expectations and goals for the mentorship.
  • Regularly engage with your mentor to ask questions and seek advice.
  • Implement feedback and guidance provided by your mentor to enhance your learning journey.
Review Software Development Life Cycle (SDLC) Best Practices
Review and solidify your understanding of SDLC, which is essential for designing quality software systems.
Browse courses on SDLC
Show steps
  • Read articles and blog posts on SDLC best practices.
  • Create a mind map to summarize key concepts.
Follow Tutorials on Cloud Profiler
Enhance your understanding of Cloud Profiler's features and capabilities by following guided tutorials.
Browse courses on Cloud Profiler
Show steps
  • Identify the Google Cloud platform tutorials on Cloud Profiler.
  • Follow the tutorials step-by-step to set up and use Cloud Profiler.
  • Experiment with different profiling options to gain practical experience.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Comprehensive Study Guide
Enhance your retention and understanding by synthesizing and organizing course materials into a cohesive study guide.
Browse courses on Study Guide
Show steps
  • Gather all relevant course materials, including lecture notes, assignments, and readings.
  • Identify key concepts and organize them into logical sections.
  • Summarize and condense the material in a concise and easy-to-understand format.
  • Incorporate diagrams, charts, or other visuals to enhance clarity.
  • Review and revise the study guide regularly to reinforce learning.
Build a Flask Web Application
Create a practical web application to apply your knowledge of Flask and back-end development.
Browse courses on Flask
Show steps
  • Design the application's architecture and functionality.
  • Develop the application's back-end using Flask.
  • Create the application's front-end using HTML and CSS.
  • Test the application thoroughly.
  • Deploy the application to a production environment.
Resolve Google Cloud Platform (GCP) Issues
Strengthen your problem-solving skills by working through real-world GCP issues and finding solutions.
Browse courses on Error Handling
Show steps
  • Read about common GCP errors and troubleshooting techniques.
  • Find a repository or forum with documented GCP issues.
  • Analyze the issues and propose solutions based on your knowledge.
  • Discuss your solutions with others and learn from their perspectives.
Create a Blog Post on Observability Best Practices
Deepen your understanding of observability by sharing your knowledge and best practices through a blog post.
Browse courses on Observability
Show steps
  • Research and gather information on observability best practices.
  • Outline the structure and key points of your blog post.
  • Write the content, providing clear explanations and examples.
  • Proofread and edit your post for clarity and accuracy.
  • Publish your blog post and share it with the community.
Mentor Junior Developers in Observability
Reinforce your understanding of observability by guiding and assisting junior developers in the field.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor junior developers in observability.
  • Establish clear goals and expectations for the mentorship.
  • Share your knowledge and expertise on observability concepts and practices.
  • Provide guidance and support on projects and assignments.
  • Regularly assess progress and provide feedback to enhance learning.

Career center

Learners who complete Observability in Google Cloud - 日本語版 will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
A Site Reliability Engineer may use Observability in Google Cloud - 日本語版 to get insights for diagnosing and fixing problems with the production environment. This course may be particularly valuable in helping build a foundation in observability for a Site Reliability Engineer who is familiar with Google Cloud.
Cloud Architect
A Cloud Architect may use Observability in Google Cloud - 日本語版 to develop, deploy, and maintain highly scalable, reliable, and secure cloud-based applications. This course may be particularly valuable in helping build a foundation in observability for a Cloud Architect who is familiar with Google Cloud.
DevOps Engineer
A DevOps Engineer may use Observability in Google Cloud - 日本語版 to get insights into the stability, performance, and reliability of a cloud-based application and its related services. This course may be particularly valuable in helping build a foundation in observability for a DevOps Engineer who is familiar with Google Cloud.
Application Performance Engineer
An Application Performance Engineer may use Observability in Google Cloud - 日本語版 to get insights into the performance and reliability of a cloud-based application. This course may be particularly valuable in helping build a foundation in observability for an Application Performance Engineer who is familiar with Google Cloud.
Data Analyst
A Data Analyst may use Observability in Google Cloud - 日本語版 to get insights into the usage and engagement patterns of a cloud-based application. This course may be particularly valuable in helping build a foundation in observability for a Data Analyst who is familiar with Google Cloud.
Software Engineer
A Software Engineer may use Observability in Google Cloud - 日本語版 to write high-quality code more efficiently. This course may be particularly valuable in helping build a foundation in observability for a Software Engineer who is familiar with Google Cloud.
Systems Engineer
A Systems Engineer may use Observability in Google Cloud - 日本語版 to get insights into the stability, performance, and reliability of a cloud-based system. This course may be particularly valuable in helping build a foundation in observability for a Systems Engineer who is familiar with Google Cloud.
Data Scientist
A Data Scientist may use Observability in Google Cloud - 日本語版 to get insights into the usage and engagement patterns of a cloud-based application. This course may be particularly valuable in helping build a foundation in observability for a Data Scientist who is familiar with Google Cloud.
Database Administrator
A Database Administrator may use Observability in Google Cloud - 日本語版 to get insights into the stability, performance, and reliability of a cloud-based database. This course may be particularly valuable in helping build a foundation in observability for a Database Administrator who is familiar with Google Cloud.
Information Security Analyst
An Information Security Analyst may use Observability in Google Cloud - 日本語版 to enhance the security of a cloud-based system by getting insights into its security posture. This course may be particularly valuable in helping build a foundation in observability for an Information Security Analyst who is familiar with Google Cloud.
Network Engineer
A Network Engineer may use Observability in Google Cloud - 日本語版 to get insights into the stability, performance, and reliability of a cloud-based network. This course may be particularly valuable in helping build a foundation in observability for a Network Engineer who is familiar with Google Cloud.
Cloud Security Engineer
A Cloud Security Engineer may use Observability in Google Cloud - 日本語版 to enhance the security of a cloud-based system by getting insights into its security posture. This course may be particularly valuable in helping build a foundation in observability for a Cloud Security Engineer who is familiar with Google Cloud.
Security Architect
A Security Architect may use Observability in Google Cloud - 日本語版 to enhance the security of a cloud-based system by getting insights into its security posture. This course may be particularly valuable in helping build a foundation in observability for a Security Architect who is familiar with Google Cloud.
Cloud Operations Engineer
A Cloud Operations Engineer may use Observability in Google Cloud - 日本語版 to get insights into the stability, performance, and reliability of a cloud-based system. This course may be particularly valuable in helping build a foundation in observability for a Cloud Operations Engineer who is familiar with Google Cloud.
IT Manager
An IT Manager may use Observability in Google Cloud - 日本語版 to get insights into the stability, performance, and reliability of a cloud-based system. This course may be particularly valuable in helping build a foundation in observability for an IT Manager who is familiar with Google Cloud.

Reading list

We've selected 11 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 Observability in Google Cloud - 日本語版.
Provides a comprehensive overview of observability engineering, a discipline that focuses on building systems that are easy to monitor, troubleshoot, and improve. It valuable resource for anyone who wants to learn more about observability engineering or implement it in their own organization.
Covers the fundamentals of observability engineering, including the concepts of observability, metrics, logs, and traces.
Provides a comprehensive overview of site reliability engineering (SRE), including the principles and practices of SRE.
Explores cloud-native Java development, providing a comprehensive guide to building and deploying Java applications in the cloud. It valuable resource for Java developers who want to learn more about cloud-native development.
Provides a research-based approach to improving software delivery performance, including the principles and practices of DevOps.
Provides a comprehensive overview of cloud computing, with a focus on practical applications. It valuable resource for anyone who wants to learn more about cloud computing or use it to build and deploy applications.
Provides a comprehensive overview of Apache Kafka, including the principles and practices of using Apache Kafka.
Provides a comprehensive overview of designing data-intensive applications, with a focus on how to manage and process large amounts of data in a scalable and efficient manner. It valuable resource for software engineers who want to learn more about data-intensive applications or build their own.

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