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Google Cloud Platform (GCP) is a suite of cloud computing services offered by
Google. It provides a wide range of infrastructure and platform services that
allow organizations to build, deploy, and manage applications and services in
the cloud. GCP's infrastructure is designed to be highly scalable, reliable,
and flexible and services. Here are some key aspects of GCP's infrastructure:
Data Centers and Regions: GCP operates in multiple regions around the
world, each containing multiple data centers. Data centers are equipped with
servers, networking equipment, and storage devices. - GCP
DevOps Online Training
Virtual Machines (VMs): GCP offers virtual machines through its
Compute Engine service. Users can create and manage VM instances with different
configurations, including CPU, memory, and storage.
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Storage Services: GCP offers various storage services,
including:
Cloud Storage: Object storage service for storing and
retrieving any amount of data.
Persistent Disk: Block storage that can be attached to VM
instances for data storage.
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Cloud Filestore: Managed file storage for applications that
require a shared file system.
Cloud SQL and Cloud Spanner: Managed relational databases for MySQL,
PostgreSQL, and globally distributed databases.
Bigtable: NoSQL database for large-scale, low-latency
workloads.
Containerization and Orchestration: GCP provides Kubernetes Engine, a
managed Kubernetes service for deploying, managing, and scaling containerized
applications. It also supports Docker containers for packaging and deploying
applications.
Serverless Computing: GCP offers server less computing options
through services like Cloud Functions (event-driven functions), Cloud Run
(containerized applications), and App Engine (platform-as-a-service for
application deployment).
Big Data and Analytics: GCP offers services like BigQuery for data
warehousing and analytics, Dataflow for data processing, and Dataproc for
managed Apache Spark and Hadoop clusters. - GCP DevOps Training in Ameerpet
Machine Learning and AI: GCP provides various tools for machine
learning and artificial intelligence, including AutoML, AI Platform, and
Tensor Flow.
Security and Identity: GCP offers features like Identity and Access
Management (IAM) for controlling access to resources, Virtual Private Cloud
(VPC) for network isolation, and encryption for data at rest and in transit.
Management Tools: GCP provides tools for monitoring, logging,
and managing resources. Google Cloud Console is a web-based management
interface, and Cloud SDK is a command-line interface for managing GCP
resources.
Hybrid and Multi-cloud: GCP offers solutions for hybrid cloud
deployments through services like Anthos, which enables consistent application
deployment across on-premises and cloud environments. - GCP DevOps Training
GCP's infrastructure is designed to
provide the building blocks necessary for developing and running various types
of applications in the cloud, ranging from simple web apps to complex machine
learning pipelines and big data processing.
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