K Labs mette a tua disposizione i propri Trainers Certificati, i Laboratori Didattici, i Simulatori di Esame, il proprio Test Center e un Tutor a te dedicato per la preparazione all'esame.
Grazie al nostro supporto la percentuale di candidati che ottengono la certificazione al primo tentativo è prossima al 100%.
.jpeg "fabio-oyxis2kalvg-unsplash (1).jpeg")
Rimani aggiornato sulle novità formative.
Lasciaci la tua e-mail!
Rimani aggiornato sulle novità formative.
Lasciaci la tua e-mail!
RICERCA CORSI
08-KLA-ATRWS - Network Analysis and Troubleshooting Through Wireshark (ATRWS) 
NewCondition € 2281.40
Pre-Order
Pre-Order
01-KLA-DVBTV - DVB: Architectures, Management and Testing for Digital Television (DVBTV) 
NewCondition € 2281.40
Pre-Order
Pre-Order
1 2 3 4 5 › 18
Getting Started with Google Kubernetes Engine
GOOGLE PROFESSIONAL PROFESSIONAL CLOUD DEVELOPER CLOUD, IOT, Kubernetes, machinelearning, bigdata, virtualmachines, bigquery, developers, virtualcontainers, app, iaas, paas, saas, serverless, google kubernetes engine, devops
NewCondition € 1800.00
Pre-Order
Pre-Order
DURATION
1 day
DESCRIPTION
Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
OBJECTIVES
At the end of the course, you will be able to:
Understand container basics
Containerize an existing application
Understand Kubernetes concepts and principles
Deploy applications to Kubernetes using the CLI
Set up a continuous delivery pipeline using Jenkins
AUDIENCE
This class is intended for the following participants:
Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers
Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform
PREREQUISITES
To get the most out of this course, participants should have:
Basic proficiency with command-line tools and Linux operating system environments, as well as Web server
Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment
TOPICS
Module 1: Introduction to Containers and Docker
Acquaint yourself with containers, Docker, and the Google Container Registry.
Create a container
Package a container using Docker
Store a container image in Google Container Registry
Launch a Docker container
Module 2: Kubernetes Basics
Deploy an application with microservices in a Kubernetes cluster.
Provision a complete Kubernetes cluster using Kubernetes Engine
Deploy and manage Docker containers using kubectl
Break an application into microservices using Kubernetes’ Deployments and Services
Module 3: Deploying to Kubernetes
Create and manage Kubernetes deployments.
Create a Kubernetes deployment
Trigger, pause, resume, and rollback updates
Understand and build canary deployments
Module 4: Creating a Continuous Delivery Pipeline
Build continuous delivery pipelines using Spinnaker and/or Jenkins.
Provision Spinnaker or Jenkins in your Kubernetes cluster
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline.
Create a continuous delivery pipeline and start it manually or automatically with a code change.
Implement a canary deployment that hosts two versions of your application in production for release testing.
1 day
DESCRIPTION
Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
OBJECTIVES
At the end of the course, you will be able to:
Understand container basics
Containerize an existing application
Understand Kubernetes concepts and principles
Deploy applications to Kubernetes using the CLI
Set up a continuous delivery pipeline using Jenkins
AUDIENCE
This class is intended for the following participants:
Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers
Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform
PREREQUISITES
To get the most out of this course, participants should have:
Basic proficiency with command-line tools and Linux operating system environments, as well as Web server
Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment
TOPICS
Module 1: Introduction to Containers and Docker
Acquaint yourself with containers, Docker, and the Google Container Registry.
Create a container
Package a container using Docker
Store a container image in Google Container Registry
Launch a Docker container
Module 2: Kubernetes Basics
Deploy an application with microservices in a Kubernetes cluster.
Provision a complete Kubernetes cluster using Kubernetes Engine
Deploy and manage Docker containers using kubectl
Break an application into microservices using Kubernetes’ Deployments and Services
Module 3: Deploying to Kubernetes
Create and manage Kubernetes deployments.
Create a Kubernetes deployment
Trigger, pause, resume, and rollback updates
Understand and build canary deployments
Module 4: Creating a Continuous Delivery Pipeline
Build continuous delivery pipelines using Spinnaker and/or Jenkins.
Provision Spinnaker or Jenkins in your Kubernetes cluster
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline.
Create a continuous delivery pipeline and start it manually or automatically with a code change.
Implement a canary deployment that hosts two versions of your application in production for release testing.
