GCP Professional Cloud Architect: Google Cloud Certification

Explore cloud fundamentals and why enterprises and startups move from data centers to the cloud, with step-by-step visuals and real enterprise examples.

Explore why enterprises need thousands of servers and how data centers, with web, file, email, and database servers, support scalable, reliable applications.

Discover what a data center is and its power, cooling, networking, and security needs. Learn the challenges of owning one—high upfront costs and capacity guessing—and how cloud enables instant servers.

Discover how cloud computing replaces owned data centers by renting infrastructure on demand, with elasticity and pay-as-you-go pricing, unlocking scalable resources from cloud providers.

See how cloud converts CapEx to OpEx and delivers economies of scale and elastic capacity. Learn how cloud enables faster deployment, global reach, and avoids undifferentiated heavy lifting.

Master elasticity, agility, and geo-distribution to serve global users efficiently. Optimize latency and availability while trading CapEx for OpEx through pay-as-you-go and economies of scale.

Explore elasticity, OpEx pay-as-you-go, agility, and availability through scenarios like Netflix scaling and 24/7 healthcare, plus geo-distribution, low latency, and economies of scale.

Explore how Google Cloud uses a private fiber optic network to deliver faster, secure data; learn its heritage, mission, and catalog across compute, storage, databases, analytics, AI, and machine learning.

Discover a structured, step-by-step path to learning cloud services without getting lost in details. Open a cloud account to gain global access, deploy resources, and use free beginner credits.

Create a Google Cloud account to access a $300 free credit trial by providing personal details and a valid card, then verify your mobile number to start the free trial.

Maximize learning efficiency by using playback speed to accelerate videos, such as 1.25x to 2x, saving time. Balance speed with comprehension by starting at 1x and gradually increasing.

Explore regions and zones, learn why multiple data centers across regions boost latency and availability, and see how cloud providers offer global regions to keep applications running.

Choose cloud regions by balancing compliance, latency, service availability, and pricing to keep data local and close to users while ensuring needed services are available.

Deploy across multiple regions to lower latency, broaden global footprint, and meet data residency requirements while boosting availability and disaster-recovery resilience.

Understand how zones, or availability zones, provide high availability within a single region by deploying across multiple isolated zones with independent power, network, and low-latency connectivity.

Explore how regions and zones enable disaster recovery, low latency, and data residency. Learn multi-zone and multi-region deployment strategies, plus high availability concepts, common misconceptions, and practical scenarios.

Explore how regions and zones in Google Cloud are named and structured, with examples like us-west1 and us-west1-a. Learn how deploying across multiple zones or regions boosts high availability.

Explore virtualization to run multiple applications on a single physical server by dividing it into virtual machines, sharing resources and isolating workloads, using a hypervisor such as VMware.

Learn how bootstrapping with a startup script enables a compute engine vm to automatically install software at startup, reducing manual setup.

Explore sustained use discounts in Google Cloud by understanding automatic, usage-based discounts on virtual machines; apply after 25% of a billing month and without other discounts, increasing with usage.

Explore Google Cloud committed use discounts for long-running workloads, choosing one- or three-year commitments to either minimum resource usage or minimum spend, with longer terms yielding greater discounts.

Explore committed use discounts and Spot VMs in Google Cloud, including how sustained use discounts auto-apply and how to purchase one to three year commitments for VMs and licenses.

Explore observability for Compute Engine VMs using metrics, logs, and traces as outputs. Default metrics exist in Cloud Monitoring; advanced metrics require Google Cloud Ops Agent and Cloud Logging.

Sole-tenant nodes reserve an entire host for one customer, ensuring host-level isolation. Use node groups and affinity labels to place VMs and meet licensing, compliance, and availability needs.

Learn how a managed instance group uses a single instance template to run identical VMs, with health checks, self-healing, auto-scaling, load balancing, regional availability, and rolling or canary release strategies.

Learn key configurations for managing a Google Cloud managed instance group, including rolling update, restart, and replace, with template changes, max surge, and max unavailable.

Compare layer four and layer seven load balancing, highlighting fast, low-overhead routing by IP and port versus application-layer routing by URL path, headers, and host for web apps and APIs.

Compare proxy and passthrough load balancers, detailing how proxy terminates client connections and opens a new backend connection, while passthrough forwards client packets unmodified to backends.

Choose the right Google Cloud load balancer by comparing application versus network options. Learn when to use proxy or pass-through, and external, regional, and global configurations.

Explore ssl termination or ssl offloading at the load balancer, where client-to-load balancer uses https and load balancer to VM uses http within the Google Cloud internal network.

Select the right load balancer for each scenario: use application load balancer for path-based routing and TLS termination, or network load balancer for TCP/UDP workloads and ultra-low latency pass-through.

Explore how an application load balancer routes requests to healthy backends using health checks, with URL maps for host, path, headers, and versioning, and apply weighted backends and session affinity.

Discover key cloud load balancing integrations, including Cloud CDN with application load balancers, Cloud Armor for DDoS, WAF, and rate limiting, Cloud Logging exports, IAP authentication, and Private Service Connect.

Explore scalability and learn how to keep performance as traffic and data grow, and how bigger virtual machine instances or more app instances enable proportional growth.

Master horizontal scaling by adding more instances and distributing data to boost scalability and availability for apps. Learn how load balancers, distributed data management, and service mesh enable this approach.

Learn resiliency as the system's ability to provide acceptable behavior during component failures, with multi-zone or multi-region deployments and health-checked VM groups.

Explore architectural best practices for Compute Engine, focusing on performance, security, cost efficiency, and resiliency, including machine families, GPUs/TPUs, hardened images, internal IPs, auto scaling, and global load balancing.