Google Cloud CLI Description
Utilize the Google Cloud CLI to create and oversee Google Cloud resources and services either directly through the command line or by utilizing scripts. This tool offers extensive compatibility across the platform and a wide range of service options, allowing you to execute routine tasks more efficiently while maintaining control over your cloud resources at scale.
You can manage virtual machines, Cloud Storage, databases, and virtually any service offered by Google Cloud, enabling you to script or automate commands for precise and scalable management of your cloud assets. Additionally, you can deploy Cloud Functions, oversee CI/CD pipelines, and engage in many other operations, streamlining your cloud management processes.
Google Cloud CLI Alternatives
Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Google Cloud Deployment Manager
Easily create and oversee cloud resources utilizing straightforward templates. Google Cloud Deployment Manager enables you to outline all necessary resources for your application in a declarative format using YAML. Additionally, Python or Jinja2 templates can be employed to parameterize the configuration, facilitating the reuse of standard deployment methods like a load-balanced, auto-scaled instance group. By considering your configuration as code, you can achieve repeatable deployments effortlessly. Through the creation of configuration files that delineate the resources, the resource creation process can be replicated consistently and reliably. Unlike many tools that follow an imperative approach, which requires users to specify each step involved in resource creation and configuration, a declarative approach empowers users to define desired configurations and allows the system to determine the necessary steps. This shift in focus lets users concentrate on the collective resources that make up their application or service rather than managing each resource in isolation. Ultimately, this methodology streamlines the deployment process, enhancing efficiency and reliability.
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Stacktape
Stacktape is a user-friendly cloud framework that eliminates the need for DevOps, making it both robust and accessible. It enables users to develop, deploy, and manage applications seamlessly on AWS, requiring 98% less configuration and no prior DevOps or cloud expertise. Unlike other platforms, Stacktape allows for the deployment of both serverless applications based on AWS Lambda and traditional container-based applications. It boasts support for over 20 infrastructure components, including SQL databases, load balancers, MongoDB Atlas clusters, batch jobs, Kafka topics, Redis clusters, and more. In addition to managing infrastructure, Stacktape simplifies source code packaging, deployment processes, and facilitates both local and remote development. The framework is complemented by a Visual Studio Code extension and a graphical user interface for local development, enhancing user experience. As an Infrastructure as Code (IaaC) solution, Stacktape significantly reduces configuration complexity; for instance, a typical production-grade REST API requires only around 30 lines of configuration, contrasting sharply with the 600-800 lines needed for CloudFormation or Terraform. Furthermore, deploying applications can be accomplished with a single command, whether from a local machine or through a CI/CD pipeline, making the process as streamlined as possible. This ease of use allows developers to focus more on building features rather than managing infrastructure intricacies.
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Integrations
Company Details
Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
cloud.google.com/cli
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Types of Training
Training Docs
Customer Support
Online Support
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