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Welcome to Migrate Workflows, where we discuss how to migrate Spark and Hadoop tasks and workflows to Google Cloud.
Explore Google Cloud storage and container solutions, comparing them with AWS equivalents. Gain hands-on experience in building and managing resources, focusing on databases, Cloud Storage, and Kubernetes Engine.
Learn to deploy and monitor applications in Google Cloud, comparing solutions with AWS and gaining hands-on experience building and managing resources.
Explore Google Cloud storage and container solutions, comparing them with Azure equivalents. Gain hands-on experience in building and managing resources for seamless cloud migration.
Learn to deploy and monitor applications in Google Cloud, comparing solutions with Azure and gaining hands-on experience building and managing resources.
Explore compute resources and load balancing in Google Cloud, comparing with Azure solutions. Hands-on practice configuring VMs, managed instance groups, and load balancers for cloud architects.
Explore compute resources and load balancing in Google Cloud, comparing with AWS solutions. Hands-on practice configuring VMs, load balancers, and managed instance groups for cloud architects and engineers.
Learn to build, package, and deploy containerized applications on Google Cloud, focusing on best practices, Cloud Run, and Google Kubernetes Engine.
Learn to build and secure event-driven applications using Eventarc on Google Cloud. Create triggers, route events, and deploy receiver services using CloudEvents format through lectures and hands-on labs.
Learn techniques for monitoring and optimizing infrastructure and application performance in Google Cloud, including full-stack monitoring, log management, debugging, tracing, and profiling.
Explore cloud computing fundamentals, Google Cloud architecture, and various compute options for building applications in this comprehensive introduction to cloud technology.
This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.
Learn to create large-scale visual effects rendering using Google Cloud's infrastructure. Explore Compute Engine, managed instance groups, and storage for cost-effective, on-demand rendering solutions.
Explore Vertex AI Studio for generative AI prototyping, including Gemini applications, prompt design, and model tuning through demos and hands-on practice.
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
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