Google Cloudを利用したSREおよびDevOpsエンジニア プロフェッショナル認定

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

Note: •Google services are currently unavailable in China.

In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

Primary audience: IT leaders and business leaders who are interested in embracing SRE philosophy. Roles include, but are not limited to CTO, IT director/manager, engineering VP/director/manager. Secondary audience: Other product and IT roles such as operations managers or engineers, software engineers, service managers, or product managers may also find this content useful as an introduction to SRE.

This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

This course teaches participants the following skills: ● Apply a tool set of questions, techniques, and design considerations ● Define application requirements and express them objectively as KPIs, SLOs and SLIs ● Decompose application requirements to find the right microservice boundaries ● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines ● Choose the appropriate Cloud Storage services based on application requirements ● Architect cloud and hybrid networks ● Implement reliable, scalable, resilient applications balancing key performance metrics with cost ● Choose the right Google Cloud deployment services for your applications ● Secure cloud applications, data, and infrastructure ● Monitor service level objectives and costs using Google Cloud tools Prerequisites ● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience ● Basic proficiency with command-line tools and Linux operating system environments ● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment

This three-day instructor-led course teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management, and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.