GCP Tools

At gcp.tools, our mission is to provide a comprehensive resource for all things related to Google Cloud Platform (GCP). We aim to curate and showcase the best tools, software, utilities, GitHub packages, and command line tools that can help developers and businesses leverage the power of GCP to build, deploy, and manage their applications and services. Our goal is to empower our users with the knowledge and tools they need to succeed in the cloud, whether they are just starting out or are seasoned GCP experts.

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Introduction

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google. It provides a wide range of tools, software, utilities, and command-line tools that help developers and businesses build, deploy, and manage their applications and services on the cloud. This cheat sheet is a reference guide for anyone who is getting started with GCP and wants to learn about the various concepts, topics, and categories related to GCP, Google Cloud-related tools, software, utilities, GitHub packages, and command-line tools.

  1. GCP Concepts

1.1. Cloud Computing

Cloud computing is the delivery of computing services, including servers, storage, databases, networking, software, analytics, and intelligence, over the internet. GCP provides a range of cloud computing services that enable businesses to build, deploy, and manage their applications and services on the cloud.

1.2. Infrastructure as a Service (IaaS)

Infrastructure as a Service (IaaS) is a cloud computing model that provides virtualized computing resources over the internet. GCP provides IaaS services that include virtual machines, storage, and networking.

1.3. Platform as a Service (PaaS)

Platform as a Service (PaaS) is a cloud computing model that provides a platform for developers to build, deploy, and manage their applications without having to worry about the underlying infrastructure. GCP provides PaaS services that include App Engine, Cloud Functions, and Cloud Run.

1.4. Software as a Service (SaaS)

Software as a Service (SaaS) is a cloud computing model that provides software applications over the internet. GCP provides SaaS services that include G Suite, Google Analytics, and Google Ads.

  1. GCP Topics

2.1. Compute

Compute refers to the virtual machines, containers, and serverless computing services that GCP provides. GCP provides a range of compute services that include Compute Engine, Kubernetes Engine, App Engine, Cloud Functions, and Cloud Run.

2.2. Storage

Storage refers to the various storage services that GCP provides, including object storage, block storage, and file storage. GCP provides a range of storage services that include Cloud Storage, Persistent Disk, and Cloud Filestore.

2.3. Networking

Networking refers to the various networking services that GCP provides, including virtual private clouds, load balancing, and DNS. GCP provides a range of networking services that include Virtual Private Cloud (VPC), Cloud Load Balancing, and Cloud DNS.

2.4. Databases

Databases refer to the various database services that GCP provides, including relational databases, NoSQL databases, and in-memory databases. GCP provides a range of database services that include Cloud SQL, Cloud Spanner, and Cloud Memorystore.

2.5. Security

Security refers to the various security services that GCP provides, including identity and access management, data encryption, and security monitoring. GCP provides a range of security services that include Cloud Identity and Access Management (IAM), Cloud Key Management Service (KMS), and Cloud Security Command Center.

2.6. Machine Learning

Machine Learning refers to the various machine learning services that GCP provides, including pre-trained models, custom models, and data processing. GCP provides a range of machine learning services that include Cloud AI Platform, Cloud AutoML, and Cloud Dataflow.

2.7. Internet of Things (IoT)

Internet of Things (IoT) refers to the various IoT services that GCP provides, including device management, data ingestion, and analytics. GCP provides a range of IoT services that include Cloud IoT Core, Cloud Pub/Sub, and Cloud Dataflow.

  1. GCP Categories

3.1. Tools

Tools refer to the various tools that GCP provides, including command-line tools, SDKs, and APIs. GCP provides a range of tools that include Cloud SDK, Cloud Console, and Cloud APIs.

3.2. Software

Software refers to the various software applications that GCP provides, including productivity software, analytics software, and advertising software. GCP provides a range of software that includes G Suite, Google Analytics, and Google Ads.

3.3. Utilities

Utilities refer to the various utilities that GCP provides, including monitoring utilities, logging utilities, and debugging utilities. GCP provides a range of utilities that include Stackdriver, Cloud Logging, and Cloud Debugger.

3.4. GitHub Packages

GitHub Packages refer to the various packages that GCP provides on GitHub, including libraries, frameworks, and tools. GCP provides a range of GitHub Packages that include Google Cloud Libraries, Google Cloud Functions Framework, and Google Cloud Build.

3.5. Command-Line Tools

Command-Line Tools refer to the various command-line tools that GCP provides, including gcloud, gsutil, and bq. These tools enable developers to interact with GCP services from the command line.

Conclusion

GCP is a powerful suite of cloud computing services that provides a wide range of tools, software, utilities, GitHub packages, and command-line tools that help developers and businesses build, deploy, and manage their applications and services on the cloud. This cheat sheet provides a reference guide for anyone who is getting started with GCP and wants to learn about the various concepts, topics, and categories related to GCP. With this cheat sheet, you can quickly and easily navigate the various GCP services and tools and get started with building your applications and services on the cloud.

Common Terms, Definitions and Jargon

1. Google Cloud Platform (GCP): A suite of cloud computing services offered by Google.
2. Cloud Computing: The delivery of computing services over the internet.
3. Infrastructure as a Service (IaaS): A cloud computing model where users rent virtualized computing resources.
4. Platform as a Service (PaaS): A cloud computing model where users rent a platform to develop and deploy applications.
5. Software as a Service (SaaS): A cloud computing model where users rent software applications.
6. Virtual Machine (VM): A software emulation of a physical computer.
7. Container: A lightweight, standalone executable package of software that includes everything needed to run an application.
8. Kubernetes: An open-source container orchestration system for automating deployment, scaling, and management of containerized applications.
9. Docker: A platform for building, shipping, and running distributed applications in containers.
10. Google Kubernetes Engine (GKE): A managed Kubernetes service provided by Google Cloud Platform.
11. Google Cloud Storage: A scalable object storage service provided by Google Cloud Platform.
12. Google Cloud SQL: A managed relational database service provided by Google Cloud Platform.
13. Google Cloud Bigtable: A fully managed, scalable NoSQL database service provided by Google Cloud Platform.
14. Google Cloud Datastore: A NoSQL document database service provided by Google Cloud Platform.
15. Google Cloud Pub/Sub: A messaging service provided by Google Cloud Platform.
16. Google Cloud Functions: A serverless compute service provided by Google Cloud Platform.
17. Google Cloud Run: A fully managed serverless compute platform provided by Google Cloud Platform.
18. Google Cloud Build: A continuous integration and delivery service provided by Google Cloud Platform.
19. Google Cloud Composer: A managed workflow orchestration service provided by Google Cloud Platform.
20. Google Cloud AI Platform: A suite of machine learning services provided by Google Cloud Platform.

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