Google Cloud for DevOps Engineers :: A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification.
Explore site reliability engineering practices and learn key Google Cloud Platform (GCP) services such as CSR, Cloud Build, Container Registry, GKE, and Cloud Operations to implement DevOps Key Features Learn GCP services for version control, building code, creating artifacts, and deploying secured...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2021.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | Explore site reliability engineering practices and learn key Google Cloud Platform (GCP) services such as CSR, Cloud Build, Container Registry, GKE, and Cloud Operations to implement DevOps Key Features Learn GCP services for version control, building code, creating artifacts, and deploying secured containerized applications Explore Cloud Operations features such as Metrics Explorer, Logs Explorer, and debug logpoints Prepare for the certification exam using practice questions and mock tests Book DescriptionDevOps is a set of practices that help remove barriers between developers and system administrators, and is implemented by Google through site reliability engineering (SRE). With the help of this book, you'll explore the evolution of DevOps and SRE, before delving into SRE technical practices such as SLA, SLO, SLI, and error budgets that are critical to building reliable software faster and balance new feature deployment with system reliability. You'll then explore SRE cultural practices such as incident management and being on-call, and learn the building blocks to form SRE teams. The second part of the book focuses on Google Cloud services to implement DevOps via continuous integration and continuous delivery (CI/CD). You'll learn how to add source code via Cloud Source Repositories, build code to create deployment artifacts via Cloud Build, and push it to Container Registry. Moving on, you'll understand the need for container orchestration via Kubernetes, comprehend Kubernetes essentials, apply via Google Kubernetes Engine (GKE), and secure the GKE cluster. Finally, you'll explore Cloud Operations to monitor, alert, debug, trace, and profile deployed applications. By the end of this SRE book, you'll be well-versed with the key concepts necessary for gaining Professional Cloud DevOps Engineer certification with the help of mock tests. What you will learn Categorize user journeys and explore different ways to measure SLIs Explore the four golden signals for monitoring a user-facing system Understand psychological safety along with other SRE cultural practices Create containers with build triggers and manual invocations Delve into Kubernetes workloads and potential deployment strategies Secure GKE clusters via private clusters, Binary Authorization, and shielded GKE nodes Get to grips with monitoring, Metrics Explorer, uptime checks, and alerting Discover how logs are ingested via the Cloud Logging API Who this book is for This book is for cloud system administrators and network engineers interested in resolving cloud-based operational issues. IT professionals looking to enhance their careers in administering Google Cloud services and users who want to learn about applying SRE principles and implementing DevOps in GCP will also benefit from this book. Basic knowledge of cloud computing, GCP services, and CI/CD and hands-on experience with Unix/Linux infrastructure is recommended. You'll also find this book useful if you're interested in achieving Professional Cloud DevOps Engineer certification. |
| Beschreibung: | Description based upon print version of record. Single-site versus multi-site production teams. |
| Beschreibung: | 1 online resource (0 p.) |
| ISBN: | 183921127X 9781839211270 |
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| 505 | 0 | |a Cover -- Title Page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Section 1: Site Reliability Engineering -- A Prescriptive Way to Implement DevOps -- Chapter 1: DevOps, SRE, and Google Cloud Services for CI/CD -- Understanding DevOps, its evolution, and life cycle -- Revisiting DevOps evolution -- DevOps life cycle -- Key pillars of DevOps -- SRE's evolution -- technical and cultural practices -- The evolution of SRE -- Understanding SRE -- SRE's approach toward DevOps' key pillars -- Introducing SRE's key concepts -- SRE's technical practices | |
| 505 | 8 | |a SRE's cultural practices -- Cloud-native approach to implementing DevOps using Google Cloud -- Focus on microservices -- Cloud-native development -- Continuous integration in GCP -- Continuous delivery/deployment in GCP -- Continuous monitoring/operations on GCP -- Bringing it all together -- building blocks for a CI/CD pipeline in GCP -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 2: SRE Technical Practices -- Deep Dive -- Defining SLAs -- Key jargon -- Blueprint for a well-defined SLA -- SLIs drive SLOs, which inform SLAs | |
| 505 | 8 | |a Defining reliability expectations via SLOs -- SLOs drive business decisions -- Setting SLOs -- the guidelines -- Exploring SLIs -- Categorizing user journeys -- SLI equation -- Sources to measure SLIs -- SLI best practices (Google-recommended) -- Understanding error budgets -- Error budget policy and the need for executive buy-in -- Making a service reliable -- Summarizing error budgets -- Eliminating toil through automation -- Illustrating the impact of SLAs, SLOs, and error budgets relative to SLI -- Scenario 1 -- New service features introduced -- features are reliable -- SLO is met | |
| 505 | 8 | |a Scenario 2 -- New features introduced -- features are not reliable -- SLO is not met -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 3: Understanding Monitoring and Alerting to Target Reliability -- Understanding monitoring -- Monitoring as a feedback loop -- Monitoring misconceptions to avoid -- Monitoring sources -- Monitoring strategies -- Monitoring types -- The golden signals -- Alerting -- Alerting strategy -- key attributes -- Alerting strategy -- potential approaches -- Handling service with low traffic -- Steps to establish an SLO alerting policy | |
| 505 | 8 | |a Alerting system -- desirable characteristics -- Time series -- Time series structure -- Time series cardinality -- Time series data -- metric types -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 4: Building SRE Teams and Applying Cultural Practices -- Building SRE teams -- Staffing SRE engineers (SREs) -- SRE team implementations -- procedure and strategy -- SRE engagement model -- Incident management -- Incident life cycle -- Elements of effective incident management -- Being on call -- Paging versus non-paging events | |
| 500 | |a Single-site versus multi-site production teams. | ||
| 520 | |a Explore site reliability engineering practices and learn key Google Cloud Platform (GCP) services such as CSR, Cloud Build, Container Registry, GKE, and Cloud Operations to implement DevOps Key Features Learn GCP services for version control, building code, creating artifacts, and deploying secured containerized applications Explore Cloud Operations features such as Metrics Explorer, Logs Explorer, and debug logpoints Prepare for the certification exam using practice questions and mock tests Book DescriptionDevOps is a set of practices that help remove barriers between developers and system administrators, and is implemented by Google through site reliability engineering (SRE). With the help of this book, you'll explore the evolution of DevOps and SRE, before delving into SRE technical practices such as SLA, SLO, SLI, and error budgets that are critical to building reliable software faster and balance new feature deployment with system reliability. You'll then explore SRE cultural practices such as incident management and being on-call, and learn the building blocks to form SRE teams. The second part of the book focuses on Google Cloud services to implement DevOps via continuous integration and continuous delivery (CI/CD). You'll learn how to add source code via Cloud Source Repositories, build code to create deployment artifacts via Cloud Build, and push it to Container Registry. Moving on, you'll understand the need for container orchestration via Kubernetes, comprehend Kubernetes essentials, apply via Google Kubernetes Engine (GKE), and secure the GKE cluster. Finally, you'll explore Cloud Operations to monitor, alert, debug, trace, and profile deployed applications. By the end of this SRE book, you'll be well-versed with the key concepts necessary for gaining Professional Cloud DevOps Engineer certification with the help of mock tests. What you will learn Categorize user journeys and explore different ways to measure SLIs Explore the four golden signals for monitoring a user-facing system Understand psychological safety along with other SRE cultural practices Create containers with build triggers and manual invocations Delve into Kubernetes workloads and potential deployment strategies Secure GKE clusters via private clusters, Binary Authorization, and shielded GKE nodes Get to grips with monitoring, Metrics Explorer, uptime checks, and alerting Discover how logs are ingested via the Cloud Logging API Who this book is for This book is for cloud system administrators and network engineers interested in resolving cloud-based operational issues. IT professionals looking to enhance their careers in administering Google Cloud services and users who want to learn about applying SRE principles and implementing DevOps in GCP will also benefit from this book. Basic knowledge of cloud computing, GCP services, and CI/CD and hands-on experience with Unix/Linux infrastructure is recommended. You'll also find this book useful if you're interested in achieving Professional Cloud DevOps Engineer certification. | ||
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| contents | Cover -- Title Page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Section 1: Site Reliability Engineering -- A Prescriptive Way to Implement DevOps -- Chapter 1: DevOps, SRE, and Google Cloud Services for CI/CD -- Understanding DevOps, its evolution, and life cycle -- Revisiting DevOps evolution -- DevOps life cycle -- Key pillars of DevOps -- SRE's evolution -- technical and cultural practices -- The evolution of SRE -- Understanding SRE -- SRE's approach toward DevOps' key pillars -- Introducing SRE's key concepts -- SRE's technical practices SRE's cultural practices -- Cloud-native approach to implementing DevOps using Google Cloud -- Focus on microservices -- Cloud-native development -- Continuous integration in GCP -- Continuous delivery/deployment in GCP -- Continuous monitoring/operations on GCP -- Bringing it all together -- building blocks for a CI/CD pipeline in GCP -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 2: SRE Technical Practices -- Deep Dive -- Defining SLAs -- Key jargon -- Blueprint for a well-defined SLA -- SLIs drive SLOs, which inform SLAs Defining reliability expectations via SLOs -- SLOs drive business decisions -- Setting SLOs -- the guidelines -- Exploring SLIs -- Categorizing user journeys -- SLI equation -- Sources to measure SLIs -- SLI best practices (Google-recommended) -- Understanding error budgets -- Error budget policy and the need for executive buy-in -- Making a service reliable -- Summarizing error budgets -- Eliminating toil through automation -- Illustrating the impact of SLAs, SLOs, and error budgets relative to SLI -- Scenario 1 -- New service features introduced -- features are reliable -- SLO is met Scenario 2 -- New features introduced -- features are not reliable -- SLO is not met -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 3: Understanding Monitoring and Alerting to Target Reliability -- Understanding monitoring -- Monitoring as a feedback loop -- Monitoring misconceptions to avoid -- Monitoring sources -- Monitoring strategies -- Monitoring types -- The golden signals -- Alerting -- Alerting strategy -- key attributes -- Alerting strategy -- potential approaches -- Handling service with low traffic -- Steps to establish an SLO alerting policy Alerting system -- desirable characteristics -- Time series -- Time series structure -- Time series cardinality -- Time series data -- metric types -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 4: Building SRE Teams and Applying Cultural Practices -- Building SRE teams -- Staffing SRE engineers (SREs) -- SRE team implementations -- procedure and strategy -- SRE engagement model -- Incident management -- Incident life cycle -- Elements of effective incident management -- Being on call -- Paging versus non-paging events |
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| spelling | Madamanchi, Sandeep. Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. Birmingham : Packt Publishing, Limited, 2021. 1 online resource (0 p.) text rdacontent still image rdacontent computer rdamedia online resource rdacarrier Description based upon print version of record. Cover -- Title Page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Section 1: Site Reliability Engineering -- A Prescriptive Way to Implement DevOps -- Chapter 1: DevOps, SRE, and Google Cloud Services for CI/CD -- Understanding DevOps, its evolution, and life cycle -- Revisiting DevOps evolution -- DevOps life cycle -- Key pillars of DevOps -- SRE's evolution -- technical and cultural practices -- The evolution of SRE -- Understanding SRE -- SRE's approach toward DevOps' key pillars -- Introducing SRE's key concepts -- SRE's technical practices SRE's cultural practices -- Cloud-native approach to implementing DevOps using Google Cloud -- Focus on microservices -- Cloud-native development -- Continuous integration in GCP -- Continuous delivery/deployment in GCP -- Continuous monitoring/operations on GCP -- Bringing it all together -- building blocks for a CI/CD pipeline in GCP -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 2: SRE Technical Practices -- Deep Dive -- Defining SLAs -- Key jargon -- Blueprint for a well-defined SLA -- SLIs drive SLOs, which inform SLAs Defining reliability expectations via SLOs -- SLOs drive business decisions -- Setting SLOs -- the guidelines -- Exploring SLIs -- Categorizing user journeys -- SLI equation -- Sources to measure SLIs -- SLI best practices (Google-recommended) -- Understanding error budgets -- Error budget policy and the need for executive buy-in -- Making a service reliable -- Summarizing error budgets -- Eliminating toil through automation -- Illustrating the impact of SLAs, SLOs, and error budgets relative to SLI -- Scenario 1 -- New service features introduced -- features are reliable -- SLO is met Scenario 2 -- New features introduced -- features are not reliable -- SLO is not met -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 3: Understanding Monitoring and Alerting to Target Reliability -- Understanding monitoring -- Monitoring as a feedback loop -- Monitoring misconceptions to avoid -- Monitoring sources -- Monitoring strategies -- Monitoring types -- The golden signals -- Alerting -- Alerting strategy -- key attributes -- Alerting strategy -- potential approaches -- Handling service with low traffic -- Steps to establish an SLO alerting policy Alerting system -- desirable characteristics -- Time series -- Time series structure -- Time series cardinality -- Time series data -- metric types -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 4: Building SRE Teams and Applying Cultural Practices -- Building SRE teams -- Staffing SRE engineers (SREs) -- SRE team implementations -- procedure and strategy -- SRE engagement model -- Incident management -- Incident life cycle -- Elements of effective incident management -- Being on call -- Paging versus non-paging events Single-site versus multi-site production teams. Explore site reliability engineering practices and learn key Google Cloud Platform (GCP) services such as CSR, Cloud Build, Container Registry, GKE, and Cloud Operations to implement DevOps Key Features Learn GCP services for version control, building code, creating artifacts, and deploying secured containerized applications Explore Cloud Operations features such as Metrics Explorer, Logs Explorer, and debug logpoints Prepare for the certification exam using practice questions and mock tests Book DescriptionDevOps is a set of practices that help remove barriers between developers and system administrators, and is implemented by Google through site reliability engineering (SRE). With the help of this book, you'll explore the evolution of DevOps and SRE, before delving into SRE technical practices such as SLA, SLO, SLI, and error budgets that are critical to building reliable software faster and balance new feature deployment with system reliability. You'll then explore SRE cultural practices such as incident management and being on-call, and learn the building blocks to form SRE teams. The second part of the book focuses on Google Cloud services to implement DevOps via continuous integration and continuous delivery (CI/CD). You'll learn how to add source code via Cloud Source Repositories, build code to create deployment artifacts via Cloud Build, and push it to Container Registry. Moving on, you'll understand the need for container orchestration via Kubernetes, comprehend Kubernetes essentials, apply via Google Kubernetes Engine (GKE), and secure the GKE cluster. Finally, you'll explore Cloud Operations to monitor, alert, debug, trace, and profile deployed applications. By the end of this SRE book, you'll be well-versed with the key concepts necessary for gaining Professional Cloud DevOps Engineer certification with the help of mock tests. What you will learn Categorize user journeys and explore different ways to measure SLIs Explore the four golden signals for monitoring a user-facing system Understand psychological safety along with other SRE cultural practices Create containers with build triggers and manual invocations Delve into Kubernetes workloads and potential deployment strategies Secure GKE clusters via private clusters, Binary Authorization, and shielded GKE nodes Get to grips with monitoring, Metrics Explorer, uptime checks, and alerting Discover how logs are ingested via the Cloud Logging API Who this book is for This book is for cloud system administrators and network engineers interested in resolving cloud-based operational issues. IT professionals looking to enhance their careers in administering Google Cloud services and users who want to learn about applying SRE principles and implementing DevOps in GCP will also benefit from this book. Basic knowledge of cloud computing, GCP services, and CI/CD and hands-on experience with Unix/Linux infrastructure is recommended. You'll also find this book useful if you're interested in achieving Professional Cloud DevOps Engineer certification. Cloud computing Examination Study guides. Infonuagique Examen Guides de l'étudiant. Cloud computing fast Study guides fast has work: Google Cloud for DevOps Engineers (Text) https://id.oclc.org/worldcat/entity/E39PCXPGkjGycY744Ttc8xW4Md https://id.oclc.org/worldcat/ontology/hasWork Print version: Madamanchi, Sandeep Google Cloud for DevOps Engineers Birmingham : Packt Publishing, Limited,c2021 |
| spellingShingle | Madamanchi, Sandeep Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. Cover -- Title Page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Section 1: Site Reliability Engineering -- A Prescriptive Way to Implement DevOps -- Chapter 1: DevOps, SRE, and Google Cloud Services for CI/CD -- Understanding DevOps, its evolution, and life cycle -- Revisiting DevOps evolution -- DevOps life cycle -- Key pillars of DevOps -- SRE's evolution -- technical and cultural practices -- The evolution of SRE -- Understanding SRE -- SRE's approach toward DevOps' key pillars -- Introducing SRE's key concepts -- SRE's technical practices SRE's cultural practices -- Cloud-native approach to implementing DevOps using Google Cloud -- Focus on microservices -- Cloud-native development -- Continuous integration in GCP -- Continuous delivery/deployment in GCP -- Continuous monitoring/operations on GCP -- Bringing it all together -- building blocks for a CI/CD pipeline in GCP -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 2: SRE Technical Practices -- Deep Dive -- Defining SLAs -- Key jargon -- Blueprint for a well-defined SLA -- SLIs drive SLOs, which inform SLAs Defining reliability expectations via SLOs -- SLOs drive business decisions -- Setting SLOs -- the guidelines -- Exploring SLIs -- Categorizing user journeys -- SLI equation -- Sources to measure SLIs -- SLI best practices (Google-recommended) -- Understanding error budgets -- Error budget policy and the need for executive buy-in -- Making a service reliable -- Summarizing error budgets -- Eliminating toil through automation -- Illustrating the impact of SLAs, SLOs, and error budgets relative to SLI -- Scenario 1 -- New service features introduced -- features are reliable -- SLO is met Scenario 2 -- New features introduced -- features are not reliable -- SLO is not met -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 3: Understanding Monitoring and Alerting to Target Reliability -- Understanding monitoring -- Monitoring as a feedback loop -- Monitoring misconceptions to avoid -- Monitoring sources -- Monitoring strategies -- Monitoring types -- The golden signals -- Alerting -- Alerting strategy -- key attributes -- Alerting strategy -- potential approaches -- Handling service with low traffic -- Steps to establish an SLO alerting policy Alerting system -- desirable characteristics -- Time series -- Time series structure -- Time series cardinality -- Time series data -- metric types -- Summary -- Points to remember -- Further reading -- Practice test -- Answers -- Chapter 4: Building SRE Teams and Applying Cultural Practices -- Building SRE teams -- Staffing SRE engineers (SREs) -- SRE team implementations -- procedure and strategy -- SRE engagement model -- Incident management -- Incident life cycle -- Elements of effective incident management -- Being on call -- Paging versus non-paging events Cloud computing Examination Study guides. Infonuagique Examen Guides de l'étudiant. Cloud computing fast |
| title | Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| title_auth | Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| title_exact_search | Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| title_full | Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| title_fullStr | Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| title_full_unstemmed | Google Cloud for DevOps Engineers : A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| title_short | Google Cloud for DevOps Engineers : |
| title_sort | google cloud for devops engineers a practical guide to sre and achieving google s professional cloud devops engineer certification |
| title_sub | A Practical Guide to SRE and Achieving Google's Professional Cloud DevOps Engineer Certification. |
| topic | Cloud computing Examination Study guides. Infonuagique Examen Guides de l'étudiant. Cloud computing fast |
| topic_facet | Cloud computing Examination Study guides. Infonuagique Examen Guides de l'étudiant. Cloud computing Study guides |
| work_keys_str_mv | AT madamanchisandeep googlecloudfordevopsengineersapracticalguidetosreandachievinggooglesprofessionalclouddevopsengineercertification |