Open Source Go Cloud Services Software
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Go Cloud Services Software
View 388 business solutionsBrowse free open source Go Cloud Services Software and projects below. Use the toggles on the left to filter open source Go Cloud Services Software by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Cloudreve
Self-hosted file management and sharing system
Cloudreve is a full-featured self-hosted file management and sharing system. It supports multi-cloud storage backends, user/group permissions, file previews/editing, offline downloading via Aria2, and a polished web/PWA frontend. -
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Rclone
Rsync for cloud storage
Rclone is a command line program for syncing files and directories to and from various cloud storage providers, including Google Drive, Amazon Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Cloudfiles, Google Cloud Storage, Yandex Files and many more. -
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CockroachDB
The open source, cloud-native SQL database
CockroachDB is an SQL database designed for global cloud services. It delivers resilient, consistent, distributed SQL at your scale thanks in large part to its unique self-organizing and self-healing architecture. It is able to scale horizontally, survive all kinds of failures with minimal latency disruption and zero manual intervention, and supports strongly-consistent ACID transactions. All this while providing a familiar SQL API. -
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Harbor
An open source trusted cloud native registry project that stores
Harbor is an open-source trusted cloud native registry project that stores, signs, and scans content. Harbor extends the open-source Docker Distribution by adding the functionalities usually required by users such as security, identity and management. Having a registry closer to the build-and-run environment can improve the image transfer efficiency. Harbor supports replication of images between registries, and also offers advanced security features such as user management, access control and activity auditing. Harbor is hosted by the Cloud Native Computing Foundation (CNCF). If you are an organization that wants to help shape the evolution of cloud native technologies, consider joining the CNCF. Cloud native registry: With support for both container images and Helm charts, Harbor serves as registry for cloud native environments like container runtimes and orchestration platforms. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Helm
The Kubernetes package manager
Helm is a tool that streamlines the installation and management of Kubernetes applications. With Helm you can find and use popular software packaged as Helm Charts. Charts are Helm packages that define, install and upgrade just about any Kubernetes application. With Helm you can manage even the most complex Kubernetes apps. It’s easy to update and offers simple sharing options on public or private servers. -
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Terrascan
Detect compliance and security violations across Infrastructure
Detect compliance and security violations across Infrastructure as Code to mitigate risk before provisioning cloud native infrastructure. As you embrace Infrastructure as Code (IaC) such as Terraform, Kubernetes, Argo CD, Atlantis and AWS CloudFormation, it is important to ensure that security best practices and compliance requirements are observed. Terracan provides 500+ out-of-the-box policies so that you can scan IaC against common policy standards such as the CIS Benchmark. It leverages the Open Policy Agent (OPA) engine so that you can easily create custom policies using the Rego query language. Monitor provisioned cloud infrastructure for configuration changes that introduce posture drift, and enables reverting to a secure posture. Detect security vulnerabilities and compliance violations. -
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CloudBrute
Awesome cloud enumerator
A tool to find a company (target) infrastructure, files, and apps on the top cloud providers (Amazon, Google, Microsoft, DigitalOcean, Alibaba, Vultr, Linode). The outcome is useful for bug bounty hunters, red teamers, and penetration testers alike. While working on HunterSuite, and as part of the job, we are always thinking of something we can automate to make black-box security testing easier. We discussed this idea of creating a multiple platform cloud brute-force hunter.mainly to find open buckets, apps, and databases hosted on the clouds and possibly app behind proxy servers. Cloud detection (IPINFO API and Source Code) Supports all major providers. Black-Box (unauthenticated). Fast (concurrent), modular and easily customizable, cross Platform (windows, linux, mac), user-agent randomization, proxy randomization (HTTP, Socks5). -
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Istio
Connect, secure, control, and observe services
Istio is an open platform for connecting, securing, and managing microservices. It provides a uniform way of integrating microservices, managing traffic flow, enforcing policies and aggregating telemetry data. With its diverse feature set you can successfully and efficiently run a distributed microservice architecture, overall reducing deployment complexity and easing the strain on development teams. Istio currently supports Kubernetes and Consul-based environments, with plans to support additional platforms in the near future. -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
This project ensures that the Kubernetes control plane responds appropriately to events that can cause your EC2 instance to become unavailable, such as EC2 maintenance events, EC2 Spot interruptions, ASG Scale-In, ASG AZ Rebalance, and EC2 Instance Termination via the API or Console. If not handled, your application code may not stop gracefully, take longer to recover full availability, or accidentally schedule work to nodes that are going down. Secure and resizable compute capacity for virtually any workload. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking. -
Deliver trusted data with dbtData teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
The AWS X-Ray daemon listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the AWS X-Ray API. The daemon works in conjunction with the AWS X-Ray SDKs and must be running so that data sent by the SDKs can reach the X-Ray service. The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. You can send the segment/subsegment in JSON over UDP port 2000 to the X-Ray daemon, prepended by the daemon header. On AWS Lambda and AWS Elastic Beanstalk, use those services' integration with X-Ray to run the daemon. Lambda runs the daemon automatically any time a function is invoked for a sampled request. On Elastic Beanstalk, use the XRayEnabled configuration option to run the daemon on the instances in your environment. To run the X-Ray daemon locally, on-premises, or on other AWS services, download it, run it, and then give it permission to upload segment documents to X-Ray. -
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Amazon SSM Agent
An agent to enable remote management of your EC2 instances
AWS Systems Manager is a secure end-to-end management solution for hybrid cloud environments. AWS Systems Manager is the operations hub for your AWS applications and resources, and is broken into four core feature groups. Aggregate data in a single console and gain actionable insights across AWS services such as Amazon CloudWatch, AWS CloudTrail, and AWS Config, as well as third-party tools. Leverage operational data to easily manage applications and identify issues quickly across associated AWS resource groups. Automate proactive processes such as patching and resource changes, as well as reactive processes, to quickly diagnose and remediate operational issues before they affect users. Adapt your security and compliance profile and analyze security events after the fact to prevent a future reoccurrence. Maintain instance compliance against your patch, configuration, and custom policies. -
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KubeSphere
The container platform tailored for Kubernetes multi-cloud, datacenter
KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant container platform with full-stack automated IT operation and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich platform, which includes most common functionalities needed for enterprise Kubernetes strategy, see Feature List for details. KubeSphere Lite provides you with free, stable, and out-of-the-box managed cluster service. After registration and login, you can easily create a K8s cluster with KubeSphere installed in only 5 seconds and experience feature-rich KubeSphere. -
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AWS Cloud Map MCS Controller for K8s
K8s controller implementing Multi-Cluster Services API
The AWS Cloud Map Multi-cluster Service Discovery Controller for Kubernetes (K8s) implements the Kubernetes multi-cluster services API specification, which allows services to communicate across multiple clusters. The implementation relies on AWS Cloud Map for enabling cross-cluster service discovery. For multi-cluster service discovery and consumption, the controller should be installed on a minimum of 2 EKS clusters. Participating clusters should be provisioned into a single AWS account, within a single AWS region. Install the The CoreDNS multicluster plugin into each participating cluster. The multicluster plugin enables CoreDNS to lifecycle manage DNS records for ServiceImport objects. The controller must have sufficient IAM permissions to perform required Cloud Map operations. Grant IAM access rights AWSCloudMapFullAccess to the controller Service Account to enable the controller to manage Cloud Map resources. -
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Consul
Service networking solution to connect applications across any cloud
Automate network configurations, discover services, and enable secure connectivity across any cloud or runtime. Quickly deploy Consul on Kubernetes leveraging Helm. Automatically inject sidecars for Kubernetes resources. Federate multiple clusters into a single service mesh. Deploy service mesh within any runtime or infrastructure - Bare Metal, Virtual Machines, and Kubernetes clusters, across any cloud. Resolve discovered services through integrated DNS. Automate 3rd party load balancers (F5, NGINX, HAProxy). Eliminate manual configuration of network devices. Secure services running in any environment leveraging intention based policies and automatic mTLS encryption between service mesh resources. Consul enables detecting the deployment of new services, changes to existing ones, and provides real time agent health to reduce downtime. Consul offers support for and integrations with many popular DevOps and Networking tools. -
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ExternalDNS
Configure external DNS servers (AWS Route53, Google CloudDNS and other
ExternalDNS synchronizes exposed Kubernetes Services and Ingresses with DNS providers. Inspired by Kubernetes DNS, Kubernetes' cluster-internal DNS server, ExternalDNS makes Kubernetes resources discoverable via public DNS servers. Like KubeDNS, it retrieves a list of resources (Services, Ingresses, etc.) from the Kubernetes API to determine the desired list of DNS records. Unlike KubeDNS, however, it's not a DNS server itself, but merely configures other DNS providers accordingly, e.g. AWS Route 53 or Google Cloud DNS. In a broader sense, ExternalDNS allows you to control DNS records dynamically via Kubernetes resources in a DNS provider-agnostic way. ExternalDNS' allows you to keep selected zones (via domain-filter) synchronized with Ingresses and Services of type=LoadBalancer in various cloud providers. ExternalDNS can become aware of the records it is managing therefore ExternalDNS can safely manage non-empty hosted zones. -
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GLBC
Ingress controller for Google Cloud
GLBC is a GCE L7 load balancer controller that manages external loadbalancers configured through the Kubernetes Ingress API. Ingress exposes HTTP and HTTPS routes from outside the cluster to services within the cluster. Traffic routing is controlled by rules defined on the Ingress resource. An Ingress may be configured to give Services externally-reachable URLs, load balance traffic, terminate SSL / TLS, and offer name-based virtual hosting. An Ingress controller is responsible for fulfilling the Ingress, usually with a load balancer, though it may also configure your edge router or additional frontends to help handle the traffic. An Ingress needs apiVersion, kind, metadata and spec fields. The name of an Ingress object must be a valid DNS subdomain name. For general information about working with config files, see deploying applications, configuring containers, managing resources. -
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Micro Cloud
A distributed OS built for the Cloud
Micro addresses the key requirements for building services in the cloud. It leverages the microservices architecture pattern and provides a set of services which act as the building blocks of a platform. Micro deals with the complexity of distributed systems and provides simpler programmable abstractions to build on. Micro is the all encompassing end to end platform experience from source to running and beyond built with a developer first focus. Micro’s goal is to abstract away the complexity of building services for the Cloud. The cloud itself has gone through a huge boom through managed Compute and infrastructure services from the likes of AWS and others. It’s taken what was an operational burden and turned it into a suite of fully managed on demand services which can be used via APIs. Micro is built as a microservices architecture and abstracts away the complexity of the underlying infrastructure. -
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TerraCognita
Reads from existing public and private cloud providers
Imports your current Cloud infrastructure to an Infrastructure As Code Terraform configuration (HCL) or/and to a Terraform State. At Cycloid, Infrastructure As Code is in the company's DNA since the beginning. To help our new customers adopt this best practice, we decided to build Terracognita to convert an existing infrastructure on Cloud Infrastructure into Terraform code in an automated way, relying on Terraform providers built by the community. We focused on AWS, GCP and Azure but Alibaba, Vmware and Openstack will be the next to be integrated. We decided to Open Source this tool as we believe that it will help people to adopt IaC in an easy way. Cycloid provides this tool to let people import their infrastructure into Cycloid's pipelines, allow them to generate infrastructure diagram and manage all infra/application life cycle from a single interface. -
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The Go Cloud Development Kit
Library and tools for open cloud development in Go
The Go Cloud Development Kit (Go CDK) allows Go application developers to seamlessly deploy cloud applications on any combination of cloud providers. It does this by providing stable, idiomatic interfaces for common uses like storage and databases. Think database/sql for cloud products. The project works well with a code generator called Wire. It creates human-readable code that only imports the cloud SDKs for services you use. This allows the Go CDK to grow to support any number of cloud services, without increasing compile times or binary sizes, and avoiding any side effects from init() functions. The Go CDK builds at the latest stable release of Go. Previous Go versions may compile but are not supported. -
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aws-nuke
Nuke a whole AWS account and delete all its resources
Remove all resources from an AWS account. Be aware that aws-nuke is a very destructive tool, hence you have to be very careful while using it. Otherwise, you might delete production data. We strongly advise you to not run this application on any AWS account, where you cannot afford to lose all resources. We are testing our Terraform code with Jenkins. Sometimes a Terraform run fails during development and messes up the account. With aws-nuke, we can simply clean up the failed account so it can be reused for the next build. Our platform developers have their own AWS accounts where they can create their own Kubernetes clusters for testing purposes. With AWS-nuke it is very easy to clean up these accounts at the end of the day and keep the costs low. There are two ways to authenticate aws-nuke. There are static credentials and profiles. The later one can be configured in the shared credentials file. -
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AWS Load Balancer Controller
A Kubernetes controller for Elastic Load Balancers
AWS Load Balancer Controller is a controller to help manage Elastic Load Balancers for a Kubernetes cluster. It satisfies Kubernetes Ingress resources by provisioning Application Load Balancers. It satisfies Kubernetes Service resources by provisioning Network Load Balancers. This project was formerly known as "AWS ALB Ingress Controller", we rebranded it to be "AWS Load Balancer Controller". AWS ALB Ingress Controller was originated by Ticketmaster and CoreOS as part of Ticketmaster's move to AWS and CoreOS Tectonic. Learn more about Ticketmaster's Kubernetes initiative from Justin Dean's video at Tectonic Summit. AWS ALB Ingress Controller was donated to Kubernetes SIG-AWS to allow AWS, CoreOS, Ticketmaster and other SIG-AWS contributors to officially maintain the project. The controller watches for ingress events from the API server. When it finds ingress resources that satisfy its requirements, it begins the creation of AWS resources. -
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Azure SDK for Go
This repository is for active development of the Azure SDK for Go
This repository is for the active development of the Azure SDK for Go. For consumers of the SDK, we recommend visiting our public developer docs. To get started with a library, see the README.md file located in the library's project folder. You can find these library folders grouped by service in the /SDK directory. We have a new wave of packages that are being announced as stable and several that are currently released in beta. These libraries allow you to use, consume, and interact with existing resources, for example, uploading a blob. These libraries share a number of core functionalities including retries, logging, transport protocols, authentication protocols, etc. that can be found in the azcore library. You can learn more about these libraries by reading about the Azure SDK Go guidelines. -
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Firebase Admin Go SDK
Firebase Admin Go SDK
Firebase provides the tools and infrastructure you need to develop apps, grow your user base, and earn money. The Firebase Admin Go SDK enables access to Firebase services from privileged environments (such as servers or cloud) in Go. Currently this SDK provides Firebase custom authentication support. Read and write Realtime Database data with full admin privileges. Programmatically send Firebase Cloud Messaging messages using a simple, alternative approach to the Firebase Cloud Messaging server protocols. Access Google Cloud resources like Cloud Storage buckets and Cloud Firestore databases associated with your Firebase projects. Create your own simplified admin console to do things like look up user data or change a user's email address for authentication. Generate and verify Firebase auth tokens. -
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MatrixOne
Hyperconverged cloud-edge native database
MatrixOne is a future-oriented hyperconverged cloud & edge native DBMS that supports transactional, analytical, and streaming workload with a simplified and distributed database engine, across multiple data centers, clouds, edges and other heterogeneous infrastructures. A monolithic database engine is designed to support hybrid workloads: transactional, analytical, streaming, time-series, machine learning, etc. MatrixOne supports seamless workload migration and bursting among different locations and infrastructures. MatrixOne provides industry-leading latency control with optimized consistency protocol. Accelerated queries supported by patented vectorized execution as well as optimal computation push-down strategies through factorization techniques. MatrixOne introduces a global, high-performance distributed transaction protocol across storage engines. Seamless and non-disruptive scaling by disaggregated storage and compute. -
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AKS Engine
AKS Engine units of Kubernetes on Azure!
AKS Engine is an ARM template-driven way to provision a self-managed Kubernetes cluster on Azure. By leveraging ARM (Azure Resource Manager), AKS Engine helps you create, destroy and maintain clusters provisioned with basic IaaS resources in Azure. AKS Engine has limited support for ongoing operational capabilities such as scaling, in-place upgrades, and extensions. The Cluster API Provider for Azure a.k.a. CAPZ provides more complete operational capabilities. AKS Engine remains the tool for managing Kubernetes clusters on Azure Stack Hub as CAPZ does not yet work there. Read the CLI Overview for a list of features provided by the aks-engine command-line tool. The Quickstart Guide describes how to download the latest release of aks-engine for your environment, and demonstrates how to use aks-engine to create a Kubernetes cluster on Azure that you will manage and customize.