Application Development with Cloud Run

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Duración del curso
21 horas
Lugar de impartición
Madrid / Online
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Modalidad
Aula Virtual, Presencial
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Fecha de inicio
Próximamente
 

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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, implement, deploy, secure, manage, and scale applications on Google Cloud using Cloud Run.

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  • Gain detailed understanding of Cloud Run, Google Cloud’s fully managed compute platform for deploying and scaling containerized applications quickly and securely
  • Gain detailed understanding of Cloud Run, Google Cloud’s fully managed compute platform for deploying and scaling containerized applications quickly and securely
  • Write and migrate code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more)
  • Secure service to service communication based on service identities and grant applications only the permissions they need
  • Learn how to build highly available applications with low end-user latency, globally
  • Learn how to connect to, and persist data in the managed database offerings on Google Cloud
  • Understand how abstracting away all infrastructure management creates a simple developer experience

  • Familiarity with Linux commands and command line interface
  • Basic understanding of Google Cloud
  • Basic understanding of networking
  • Basic understanding of one or more programming languages like Go, Python, Java, Ruby, or Node.js
  • Basic understanding of shell scripts, YAML, JSON, HTTP, and TLS.

Documentación Oficial de Google Cloud - Application Development with Cloud Run

  • Formador Certificado por GCP
  • Más de 5 años de experiencia profesional
  • Más de 4 años de experiencia docente
  • Profesional activo en empresas del sector IT

Modulo 1: Introducing Application Development with Cloud Run

  • This module gives a general overview of Cloud Run. If you’re new to Cloud Run (or even to Google Cloud), this will be a great introduction

Modulo 2: Understanding Cloud Run

  • You can use any language, any library and any binary. Cloud Run expects your app (in a container image) to listen on a port and respond to HTTP requests
  • Use a docker repository on Artifact Registry to store your images: Cloud Run only deploys from there
  • Use a docker repository on Artifact Registry to store your images: Cloud Run only deploys from there
  • Cloud Run uses autoscaling to handle all incoming requests
  • Pay for use pricing model
  • No background tasks: Container lifetime is only guaranteed while handling requests
  • There is no persistent storage: Store data downstream
  • Cloud Run is portable (containers and Knative)

Modulo 3: Building Container Images

  • The contents of a container image (deep dive)
  • There are two ways to build container images
    • Buildpacks (hands-off)
    • Docker (you’re in control)
  • Cloud Run supports both source-based and a container image based workflow
  • The most important considerations of building a secure container image

Modulo 4: Building Container Images

  • Container lifecycle
  • Container lifecycle
    • Idle vs serving
    • Shutdown lifecycle hook
  • Cold starts- Min instances
  • Container readiness
  • The service resource and what it describes
  • Configuring memory limits and CPU allocation
  • Deploying a new revision
  • Traffic steering (tagging, gradual rollouts)

Modulo 5: Configuring Service Identity and Authorization

  • Cloud IAM
    • Service account, policy binding, roles, types of members, resource hierarchy(in practice)
    • Service accounts
    • Cloud Run IAM roles
  • Cloud Run
    • Default service account
    • Risks of using the default service account

Modulo 6: Serving Requests

  • Custom Domains
  • Global Load Balancer
    • URL Map
    • Frontend
    • Backend services
  • Benefits and drawbacks of GLB over custom domain
  • Types of GLB Backends
  • Multi-region load balancing
  • Multi-regional applications challenges
  • Cloud CDN

Modulo 7: Using Inbound and Outbound Access Control

  • Ingress settings
  • Cloud Armor
  • Using Cloud IAM to protect services
    • Understand how authenticated requests (IAM + OIDC tokens) work (builds on Module 5)
  • VPC, VPC Access Connector
  • Egress settings

Modulo 8: Persisting Data

  • Understanding why you need to store data externally when running a workload on Cloud Run
  • Connect with Cloud SQL from Cloud Run
    • Understand how it works (managed Cloud SQL Proxy)
  • Managing concurrency as a way to safeguard performance (understand whyand when)
  • Connecting with Memorystore
  • VPC Connector
    • Challenges with scaling Memorystore (throughput)
  • Briefly introduce Cloud Storage, Firestore and Cloud Spanner, while reinforcing how the client libraries use the built-in service account to connect (Module 5 is prerequisite knowledge)
  • Multi-region data storage (and what Spanner and Firestore can do for you)

Modulo 9: Implementing Service-to-Service Communication

  • Understanding Cloud Pub/Sub
    • Understanding Cloud Pub/Sub- Understanding topics, push subscriptions
    • Idempotency (Handling retries and at-least-once invocation)- Event ID, design for resume, or use a lease
    • Handling undeliverable messages
  • How to asynchronously schedule a background task on a different service
  • Cloud Tasks, and when to choose it over Cloud Pub/Sub
  • Benefits of using Pub/Sub to pass messages over making sync RPC requests
  • Learn about services in Google Cloud with a built-in integration to push events to Pub/Sub (Cloud Build, Artifact Registry, Cloud Storage, IOT Core, BigQuery)
  • Cloud Scheduler to invoke services on a schedule
  • CloudEvents
  • EventArc, and how to consume Audit logs
    • What to expect now, and how EventArc will develop over time

Modulo 10: Orchestrating and Automating Serverless Workflows

  • Invoking and passing parameters
  • Understand steps and jumps
  • Defining, using and passing values with variables
  • Using the switch statement to add logic
  • Workflow visualization
  • Calling HTTPS endpoints
  • Calling an authenticated Cloud Run service
  • Example: polling API for completion

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