Subnets and IP Addressing

Quality Thoughts – Best GCP Cloud Engineering Training Institute in Hyderabad

Looking to become a certified GCP Cloud Engineer? Quality Thoughts in Hyderabad is your ideal destination. Our GCP Cloud Engineering course is tailored for graduates, postgraduates, working professionals, and even those from non-technical backgrounds or with educational gaps. We offer a strong foundation in Google Cloud Platform (GCP) through hands-on, real-time learning guided by certified cloud experts.

Our training includes an intensive live internship, focusing on real-world use cases with tools like BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Dataproc, and IAM. The curriculum covers both fundamentals and advanced GCP concepts including cloud-native app deployment, automation, and infrastructure provisioning.

We prepare you for GCP certifications like Associate Cloud Engineer, Professional Data Engineer, and Cloud Architect, with focused mentorship and flexible learning paths. Whether you're a fresher or a professional from another domain, our personalized approach helps shape your cloud career.

Get access to flexible batch timings, mock interviews, resume building, and placement support. Join roles like Cloud Engineer, Data Engineer, or GCP DevOps Expert after completion.

🔹 Key Features:

  • GCP Fundamentals + Advanced Topics

  • Live Projects & Data Pipelines

  • Internship by Industry Experts

  • Flexible Weekend/Evening Batches

  • Hands-on Labs with GCP Console & SDK

  • Job-Oriented Curriculum with Placement He

Subnets and IP Addressing

In Google Cloud Platform (GCP), Subnets are subdivisions within a Virtual Private Cloud (VPC) network. Each subnet is region-specific and defines a range of IP addresses used for hosting resources like virtual machines (VMs), containers, and other services. A single VPC can have multiple subnets spread across different regions, allowing global connectivity.

Subnets can be created in auto mode or custom mode:

In auto mode, GCP automatically creates one subnet per region with predefined IP ranges.

In custom mode, you define your own subnet IP ranges, offering more flexibility and control.

Each subnet is associated with a CIDR block (e.g., 10.0.1.0/24), which determines the number of IP addresses it can allocate. These IPs can be:

Internal IPs: Used for communication within the VPC.

External IPs: Assigned to resources for internet access.

GCP uses primary and secondary IP ranges:

Primary range: For VM and resource IPs.

Secondary range: Often used by Kubernetes Engine (GKE) for pods and services.

GCP also supports Private Google Access, allowing instances without external IPs to reach Google APIs securely.

Subnet-level firewall rules and routing tables determine how traffic flows and is filtered. Subnet IP ranges must not overlap with other subnets in the same VPC.

In short, subnets and IP addressing in GCP allow precise control over resource placement, traffic routing, and network isolation across global infrastructure.

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