awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
google avatar

google/go-cloud

0
View on GitHub↗
9,891 stars·851 forks·Go·Apache-2.0·12 viewsgocloud.dev↗

Go Cloud

go-cloud is a toolkit of cloud-agnostic libraries that provide portable Go interfaces for interacting with common cloud services. It enables multi-cloud application development by decoupling business logic from specific provider API implementations.

The project utilizes a driver-based system to map generic interface calls to vendor-specific requests. This allows applications to switch between different cloud backends for blob storage, relational databases, and asynchronous publish-subscribe messaging without changing the core application code.

Beyond storage and messaging, the toolkit includes a manager for tracking and updating dynamic configuration variables at runtime without requiring a process restart. It also provides a standardized observability layer for distributed tracing, request logging, and health checking.

Features

  • Cloud Provider Abstractions - Provides portable Go interfaces that decouple application logic from vendor-specific cloud and hypervisor APIs.
  • Resource Abstraction Interfaces - Defines unified Go interfaces that decouple business logic from specific cloud resource implementations.
  • Bucket Abstraction Drivers - Provides a unified type for blob storage buckets to interact with multiple cloud backends via drivers.
  • Relational Database Connectors - Integrates relational database services using portable connectors that prevent vendor lock-in.
  • Database Connectivity Interfaces - Offers a standardized interface and driver set for connecting to relational databases across different cloud vendors.
  • Blob Storage Management - Standardizes binary data operations and bucket management across multiple cloud blob storage providers.
  • Cloud Object Storage - Offers a unified API for managing unstructured binary data and buckets across multiple cloud storage backends.
  • Cloud Storage Wrappers - Provides abstraction wrappers that decouple application code from specific cloud blob storage provider APIs.
  • SQL Database Connectivity - Establishes portable connections to SQL databases by abstracting provider-specific connection details.
  • Driver-Based Provider Architectures - Implements a driver-based architecture allowing interchangeable cloud service providers via a common plugin system.
  • Publish-Subscribe Messaging - Enables low-latency asynchronous communication between distributed services through a cloud-agnostic publish-subscribe model.
  • Pub-Sub Messaging - Provides a consistent, cloud-agnostic interface for implementing publish-subscribe messaging patterns.
  • Multi-Cloud Application Abstractions - Enables the development of software that can run on different cloud providers using a single portable interface for common services.
  • Dynamic Configuration Management - Provides a system for managing application settings in a remote store and propagating updates in real time.
  • Dynamic Configuration Updates - Enables real-time modification of application settings and environment variables without requiring a process restart.
  • Cloud Native Observability - Provides cloud-native observability by standardizing request logging, tracing, and health checks.
  • Observability Suites - Ships an integrated toolkit for request logging, distributed tracing, and health checking to monitor distributed system health.
  • Unified Observability Interfaces - Integrates health checks, distributed tracing, and logging into a unified interface for consistent cross-environment monitoring.
  • Server Health Monitoring - Includes a standardized observability layer for tracking server diagnostics via integrated request logging, tracing, and health checks.
  • DevOps & Infrastructure - Library for building portable cloud-native applications.
  • Infrastructure and Containers - Library and tools for open cloud development.

Star history

Star history chart for google/go-cloudStar history chart for google/go-cloud

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Projects sharing features with Go Cloud

These projects share indexed features with Go Cloud. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • fog/fogfog avatar

    fog/fog

    4,297View on GitHub↗

    Fog is a Ruby cloud infrastructure SDK that provides a standardized interface for managing compute, storage, and network resources across multiple cloud providers. It utilizes a multi-cloud abstraction layer to translate generic resource requests into provider-specific API calls, unifying infrastructure control through a consistent set of Ruby objects. The project includes a cloud API mocking framework that simulates provider responses and resource behavior in memory. This allows for the testing of infrastructure integration logic without making actual network requests or incurring provider c

    Ruby
    View on GitHub↗4,297
  • userver-framework/userveruserver-framework avatar

    userver-framework/userver

    2,811View on GitHub↗

    userver is a comprehensive C++ backend application platform and asynchronous framework designed for building scalable microservices. It provides a high-performance execution environment for deploying services that communicate via gRPC and HTTP using a middleware-based request pipeline. The platform distinguishes itself through a distributed service orchestration toolset that manages shared state, distributed locking, and dynamic configuration updates without requiring process restarts. It utilizes a coroutine-based asynchronous execution model and event-loop network I/O to handle high-concurr

    C++asyncasynchronouscoroutines
    View on GitHub↗2,811
  • hazelcast/hazelcasthazelcast avatar

    hazelcast/hazelcast

    6,570View on GitHub↗

    Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

    Javabig-datacachingdata-in-motion
    View on GitHub↗6,570
  • apache/incubator-pulsarapache avatar

    apache/incubator-pulsar

    15,270View on GitHub↗

    Apache Pulsar is a cloud-native message queue and distributed publish-subscribe messaging system. It serves as a multi-tenant event streaming platform designed to route data streams for asynchronous communication between producers and consumers. The system distinguishes itself through geo-replication, synchronizing data across multiple geographic regions to ensure high availability and low latency. It implements a multi-tenant architecture that provides isolation and resource management for millions of independent topics. The platform covers high-throughput data streaming and event-driven da

    Java
    View on GitHub↗15,270
Compare all 30 related projects→

Frequently asked questions

What does google/go-cloud do?

go-cloud is a toolkit of cloud-agnostic libraries that provide portable Go interfaces for interacting with common cloud services. It enables multi-cloud application development by decoupling business logic from specific provider API implementations.

What are the main features of google/go-cloud?

The main features of google/go-cloud are: Cloud Provider Abstractions, Resource Abstraction Interfaces, Bucket Abstraction Drivers, Relational Database Connectors, Database Connectivity Interfaces, Blob Storage Management, Cloud Object Storage, Cloud Storage Wrappers.

Which projects share features with google/go-cloud?

Projects with overlapping indexed features include: fog/fog — Fog is a Ruby cloud infrastructure SDK that provides a standardized interface for managing compute, storage, and… userver-framework/userver — userver is a comprehensive C++ backend application platform and asynchronous framework designed for building scalable… hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… apache/incubator-pulsar — Apache Pulsar is a cloud-native message queue and distributed publish-subscribe messaging system. It serves as a… winglang/wing — Wing is a cloud infrastructure programming language and infrastructure-as-code framework that unifies cloud resource… deepstreamio/deepstream.io — deepstream.io is an open-source realtime server that synchronizes JSON records, events, and remote procedure calls…