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- This repository is home to Google Cloud Exporters (Trace and Monitoring) for OpenTelemetry Node.js Project (https://github.com/open-telemetry/opentelemetry-js)
- This tool lets you interact with Application Integration, Integration Connectors or Apigee Integration/Connector APIs. The tool lets you manage (create, del, get, list) integrations, connections etc.
- FaaS (Function as a service) framework for writing portable Node.js functions
- Dataproc templates and pipelines for solving simple in-cloud data tasks
- Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
- The Dataflux Accelerated Dataloader for PyTorch with GCS is an effort to improve ML-training efficiency when using data stored in GCS for training datasets. Using the Dataflux Accelerated Dataloader for training is up to 3X faster when the dataset consists of many small files (e.g., 100 - 500 KB).
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
- Add Google Cloud Platform support to Terraform
- PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.