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Google Cloud Training
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What's inside
Syllabus
Introduction
Ce module présente le plan du cours.
Surveillance
Dans ce module, nous allons apprendre à utiliser la page "Liste des jobs" pour filtrer les jobs que nous souhaitons surveiller ou examiner. Nous allons voir comment les onglets "Graphique du job", "Informations sur le job" et "Métriques de job" fournissent ensemble un résumé complet de votre job Dataflow. Enfin, nous verrons comment utiliser l'intégration de Dataflow à l'Explorateur de métriques pour créer des règles d'alerte pour les métriques Dataflow.
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Syllabus
Introduction
Ce module présente le plan du cours.
Surveillance
Dans ce module, nous allons apprendre à utiliser la page "Liste des jobs" pour filtrer les jobs que nous souhaitons surveiller ou examiner. Nous allons voir comment les onglets "Graphique du job", "Informations sur le job" et "Métriques de job" fournissent ensemble un résumé complet de votre job Dataflow. Enfin, nous verrons comment utiliser l'intégration de Dataflow à l'Explorateur de métriques pour créer des règles d'alerte pour les métriques Dataflow.
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Reading list
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This cookbook provides practical recipes for solving common problems encountered when working with Dataflow. It covers a wide range of topics, including data ingestion, data transformation, and data analysis. valuable resource for developers who want to quickly find solutions to their Dataflow problems.
Provides a comprehensive overview of big data analytics using Google Cloud Dataflow. It covers the fundamentals of big data, data processing, and data analysis. This book is an excellent resource for developers who want to learn how to build scalable and reliable big data pipelines.
Provides a comprehensive guide to Amazon Kinesis, a fully managed streaming data platform. It covers topics such as data ingestion, transformation, and analytics. It is an essential read for anyone looking to get started with serverless data processing on AWS.
Introduces IBM Cloud Functions, a serverless platform for IBM Cloud, and shows how to use it for data processing.
This concise guide to all things data pipelines. Starting with the basics, it covers a wide range of topics, including data connectors, data integration, data quality, orchestration, and monitoring.
Provides a collection of patterns for designing and implementing serverless data processing solutions. It covers topics such as data ingestion, transformation, and analytics. It is an essential read for anyone looking to build scalable, fault-tolerant data processing pipelines.
Practical guide to building data pipelines with Kafka, a distributed streaming platform. It covers everything from basic concepts to advanced topics like stream processing and data integration.
Teaches you how to use MongoDB, a popular NoSQL database, to build data pipelines. It covers everything from basic concepts to advanced topics like data aggregation and indexing.
Teaches you how to use Flink, a popular open-source platform for building data pipelines. It covers everything from basic concepts to advanced topics like streaming and machine learning.
Provides a comprehensive overview of performance engineering. It covers topics such as performance metrics, data collection and analysis, and performance modeling.
Provides a comprehensive overview of Jaeger, an open-source distributed tracing system. It covers topics such as installing and configuring Jaeger, creating traces, and using Jaeger to monitor different types of systems.
Provides a comprehensive overview of Prometheus, an open-source monitoring system. It covers topics such as installing and configuring Prometheus, creating alerts, and using Prometheus to monitor different types of systems.
This book, an excerpt from the 'Site Reliability Engineering' book, focuses specifically on monitoring distributed systems. It explains basic principles and best practices for building successful monitoring and alerting systems in complex environments. It is highly relevant for those working with distributed systems and provides implementation-agnostic guidance.
As a companion to 'Site Reliability Engineering,' this workbook offers practical examples and case studies from Google and other companies on implementing SRE principles. It provides hands-on guidance for applying the concepts discussed in the first book, including practical approaches to monitoring and incident management. is excellent for deepening the understanding gained from the foundational SRE text and useful reference for implementing SRE practices.
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This collection of essays offers diverse perspectives on implementing SRE principles in various settings. It explores how SRE relates to DevOps and discusses cutting-edge specialties in the field, including aspects of monitoring and reliability. is valuable for gaining a broader understanding of how SRE and monitoring are practiced in different organizations.
Focuses on the modern concept of observability in software engineering, which goes beyond traditional monitoring. It provides a practical guide to building and managing highly observable systems, covering logging, metrics, and tracing. This key book for understanding contemporary topics in monitoring and is highly relevant for those working with complex distributed systems.
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Offers a pragmatic and tool-agnostic approach to monitoring. It covers essential topics such as monitoring antipatterns, principles of monitoring design, and getting metrics and logs from applications. It is highly relevant for gaining a broad understanding of effective monitoring strategies and valuable resource for anyone looking to improve their monitoring practices regardless of the specific tools they use.
Focuses on the practical aspects of monitoring and alerting for web operations. It delves into the technical details of configuring and maintaining monitors and alerts. It useful resource for those looking to deepen their understanding of implementing effective alerting strategies.
Provides a deep dive into modern monitoring practices, covering a wide range of tools and techniques. It is an opinionated book that offers valuable insights into implementing effective monitoring solutions. While it discusses specific tools, it also contains plenty of theory that is essential for a solid understanding of the topic.
Is considered a foundational text in Site Reliability Engineering (SRE), a discipline heavily intertwined with modern monitoring practices. It provides a comprehensive overview of how Google approaches reliability, including their philosophies on monitoring, alerting, and incident response. It is highly valuable for establishing a strong understanding of the principles behind effective monitoring in large-scale systems and is commonly used as a reference by industry professionals.
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Level
Advanced
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
November 3, 2025
- January 12, 2026
Language
Français
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