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This lesson covers the foundational networking principles within Google Cloud. We will start with a quick review of the OSI model and core IP addressing concepts, including CIDR notation and public vs. private IP ranges. The main focus will be on Google's Virtual Private Cloud (VPC), exploring its global nature, regional subnets, and the differences between default, auto, and custom modes. We will conclude by designing and implementing firewall rules, understanding their attributes like priority, direction, and targets, including the two implied default rules.
This lesson establishes the foundational knowledge for selecting appropriate storage solutions on GCP. It begins by covering the key decision-making criteria for any storage system, such as data structure, access patterns, consistency models, and latency requirements. The main focus will be a deep dive into Google Cloud Storage, the primary service for unstructured data. We will cover the hierarchy of projects, buckets, and objects, and best practices for naming buckets to avoid performance issues ('hotspotting'). A significant portion will be dedicated to understanding and comparing the four main storage classes: Standard, Nearline, Coldline, and Archive, analyzing the trade-offs between cost and retrieval time for each. The lesson will conclude with an overview of location options (regional, dual-regional, multi-regional) and their impact on availability and performance.
This lesson provides a foundational overview of the core compute services available on Google Cloud. It will start with a deep dive into Compute Engine (IaaS), covering machine types, persistent disks, and specialized options like Sole-Tenant nodes, Preemptible/Spot VMs, and security-focused Shielded/Confidential VMs. The session will then contrast this with serverless platforms, analyzing the use cases for App Engine (Standard vs. Flexible), Cloud Functions for event-driven triggers, and Cloud Run for serving stateless containers. The focus will be on comparing these services to understand the trade-offs between control, flexibility, and operational overhead.
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