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Npm Google Cloud Libraries

Most Popular Npm Google Cloud Libraries

15
NameSizeLicenseAgeLast Published
serverless719.18 kBMIT8 Years17 Sep 2023
grant37.91 kBMIT9 Years9 Mar 2022
@google-cloud/secret-manager198.62 kBApache-2.04 Years6 Sep 2023
@google-cloud/run315.48 kBApache-2.01 Years6 Sep 2023
@pulumi/gcp2.28 MBApache-2.05 Years18 Sep 2023
grpc-gcp23.42 kBApache-2.05 Years25 Jan 2023
gcloudmon2.98 kBMIT8 Years25 Nov 2016
google-cloud-datastore-node2.93 kBMIT6 Years4 Dec 2017
bunyan-stackdriver4.06 kBMIT7 Years9 Feb 2017
asynclog52.79 kBGPL-3.06 Years15 May 2017
modofun-trace-agent-plugin2.34 kBMIT6 Years2 Nov 2017
gc-json-logger15.07 kBMIT1 Years30 Jul 2023
@sagi.io/workers-jwt4.42 kBMIT3 Years8 Jul 2022
gc-json-logger-express6.94 kBMIT1 Years30 Jul 2023
@strapi-community/strapi-provider-upload-google-cloud-storage13.81 kBMIT1 Years15 May 2023

1. When are Google Cloud Libraries Useful?

Google Cloud libraries are particularly beneficial when developing applications that need to leverage Google Cloud services. These libraries provide simple, programmatic access to Google's cloud-based services like Storage, Compute Engine, BigQuery, and more.

As for JavaScript developers using the npm package manager, Google Cloud libraries can help in rapid development and faster prototyping. Furthermore, these libraries help encapsulate complex APIs and abstract them into easily usable methods and features, reducing the effort required to write redundant functionality, and allowing developers to focus more on the business logic.

Also, when you need to scale your application or make it more resilient, Google cloud libraries provide conveniences for handling such requirements. For instance, they have built-in mechanisms for load balancing, data replication, and fault tolerance.

2. What Functionalities do Google Cloud Libraries Usually Have?

Google Cloud Libraries often provide developers with comprehensive SDKs to interact with a wide array of Google Cloud's services. Here's a general array of functionalities found in these libraries:

  • Google Cloud Storage: Developers can use methods for uploading, retrieving, deleting, and managing their cloud-based files.
  • Google Cloud Compute Engine: APIs to govern virtual machines, their creation, management, and shutdown.
  • Google Cloud Big Data Services: APIs for interacting with BigQuery or Datastore are provided for managing and interacting with big data.
  • Google Cloud Networking Services: Developers can manage networking aspects like load balancing, VPNs, and firewalls.
  • Google Cloud Machine Learning Services: APIs for AI and Machine Learning like Cloud Vision, Speech, and Natural Language.
  • Authentication: Convenient methods to handle user authentication and authorization using OAuth2 or IAM.

When using npm, developers can access these services through respective modules, which form a critical part of a highly scalable and resilient application infrastructure.

3. Gotchas/Pitfalls to Look Out For

While Google Cloud Libraries are powerful tools, there are few pitfalls and gotchas developers should be aware of:

  • Library Updates: Like any software, Google Cloud Libraries receive updates that might introduce breaking changes. Always test your application thoroughly when updating these libraries.
  • Authentication: Ensure proper handling of authentication tokens and service accounts. Misconfiguration can lead to unwanted access or service interruptions.
  • Billing: While the Google Cloud Libraries themselves are free, the services they interact with are not. Monitor utilization closely to prevent unexpected charges.
  • Version Compatibility: Always check for version compatibility between different libraries as incompatibility can lead to unexpected behaviors.
  • Error Handling: Libraries might abstract away some of the lower-level details, but errors can still occur. Implement robust error handling strategies to prevent application interruptions.
  • Performance: Using libraries might be convenient, but they can introduce performance overhead. Always optimize for performance wherever feasible.