Open Source Go Cloud Services Software
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Go Cloud Services Software
View 393 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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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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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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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. -
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Pulumi
Developer-first infrastructure as code. Your cloud, your language
Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services, and infrastructure, on any cloud. Simply write code in your favorite language and Pulumi automatically provisions and manages your AWS, Azure, Google Cloud Platform, and/or Kubernetes resources, using an infrastructure-as-code approach. Skip the YAML, and use standard language features like loops, functions, classes, and package management that you already know and love. Pulumi is open source under the Apache 2.0 license, supports many languages and clouds, and is easy to extend. This repo contains the pulumi CLI, language SDKs, and core Pulumi engine, and individual libraries are in their own repos. Walk through end-to-end workflows for creating containers, serverless functions, and other cloud services and infrastructure. -
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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. -
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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Komiser
Cloud environment inspector
Stay under budget by uncovering hidden costs, monitoring increases in spending, and making impactful changes based on customer recommendations. Komiser CE is a free and Open Source project with the goal to create an open cloud cost optimization project with the support of all major public cloud providers. In the last months, we’ve more than doubled our OSS downloads and expanded our community footprint. This is possible because the tool works solves real problems, and is embraced by end-users. Control your usage and create visibility across all used services to achieve maximum cost-effectiveness. Govern a secure and compliant environment by detecting potential vulnerabilities that could put your cloud environment at risk. Ask your manager or marketing team if your company would be interested in supporting our project. -
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Gardener
Kubernetes-native system managing the full lifecycle of Kubernetes
Kubernetes-native system managing the full lifecycle of conformant Kubernetes clusters as a service on Alicloud, AWS, Azure, GCP, OpenStack, EquinixMetal, vSphere, MetalStack, and Kubevirt with minimal TCO. Kubernetes is a cloud-native enabler built around the principles of a resilient, manageable, observable, highly automated, loosely coupled system. Gardener is a standard Kubernetes extension and adheres to the same concepts by design. The Gardener project is committed to fostering an open community of collaborators and adopters. We aim to deliver a standard solution that meets the needs of our entire community and ecosystem. Gardener was born as a solution for actual and common problems such as control on the Kubernetes stack, minimizing the TCO, infrastructures pervasiveness, operating in restricted/regulated environments or bare metal, at a massive scale. -
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Amazon EKS Anywhere
Run Amazon EKS on your own infrastructure
Amazon EKS Anywhere is an open-source deployment option for Amazon EKS that allows customers to create and operate Kubernetes clusters on-premises, with optional support offered by AWS. EKS Anywhere supports VMware vSphere as the first deployment target, with others coming in the near future, including bare metal coming in 2022. Amazon EKS Anywhere helps simplify the creation and operation of on-premises Kubernetes clusters with default component configurations while providing tools for automating cluster management. AWS supports all Amazon EKS Anywhere components including the integrated 3rd-party software, so that customers can reduce their support costs and avoid maintenance of redundant open-source and third-party tools. Amazon EKS Anywhere gives you on-premises Kubernetes operational tooling that’s consistent with Amazon EKS. It builds on the strengths of Amazon EKS Distro and provides open-source software that’s up-to-date and patched. -
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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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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. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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Easegress
A Cloud Native traffic orchestration system
The Easegres (formally known as Ease Gateway) helps to enlarge the availability and stability, also can improve the performance without changing a line of code. It also can smoothly support rapid business growth without re-arch the whole system. Easegress can be a typical seven-level API Gateway, it also can be a side-car to be a Service Mesh, and Easegress can perfectly work with other software to ship powerful features, such as: Kubernetes Ingress, Knaitve FaaS, and Eureka/Consul/Etcd/Nacos and so on. The Easegress can management the traffic and APIs, not only can do load balancing, canary development but also can aggregate and pipeline a number of APIs. This function automatically helps the website optimize its performance, such as: adding the cache, merging the requests, and reducing the network bandwidth. Sometimes, a site could have unexpectedly higher traffic, the Ease Gateway could help to protect the critical service for critical customers. -
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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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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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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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CloudQuery
The open-source cloud asset inventory powered by SQL
CloudQuery extracts, transforms and loads your cloud assets into normalized PostgreSQL tables. CloudQuery enables you to assess, audit, and monitor the configurations of your cloud assets. Use standard SQL to find any asset based on any configuration or relation to other assets. Connect CloudQuery standard PostgreSQL database to your favorite BI/Visualization tool such as Grafana, QuickSight, etc. Codify your security & compliance rules with SQL as the query engine. Integrate CloudQuery with your current visualization, monitoring, and alerting such as Grafana. CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. Build a cloud-asset inventory across any of our supported official or community providers. -
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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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OpenFunction
Cloud Native Function-as-a-Service Platform (CNCF Sandbox Project)
OpenFunction is a cloud-native open source FaaS (Function as a Service) platform aiming to let you focus on your business logic without having to maintain the underlying runtime environment and infrastructure. You only need to submit business-related source code in the form of functions. -
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Terraform Provider for Azure
Terraform provider for Azure Resource Manager
The AzureRM Terraform Provider allows managing resources within Azure Resource Manager. When using version 3.0 of the AzureRM Provider we recommend using Terraform 1.x. Whilst older versions of Terraform Core (0.12.x and later) remain compatible with v3.0 of the AzureRM Provider. The Azure Provider can be used to configure infrastructure in Microsoft Azure using the Azure Resource Manager API's. We recommend using either a Service Principal or Managed Service Identity when running Terraform non-interactively (such as when running Terraform in a CI server) - and authenticating using the Azure CLI when running Terraform locally. -
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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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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. -
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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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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. -
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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 Elastic Container Service RPM
Amazon Elastic Container Service RPM
The Amazon Elastic Container Service RPM is software developed to support the Amazon ECS Container Agent. The Amazon ECS RPM is packaged for RPM-based systems that utilize Upstart as the init system. The upstart script installed by the Amazon ECS RPM runs at the completion of runlevel 3, 4, or 5 as the system starts. The script will clean up any previous copies of the Amazon ECS Container Agent, and then start a new copy. Logs from the RPM are available at /var/log/ecs/ecs-init.log, while logs from the Amazon ECS Container Agent are available at /var/log/ecs/ecs-agent.log. The Amazon ECS RPM makes the Amazon ECS Container Agent introspection endpoint available at http://127.0.0.1:51678/v1. Configuration for the Amazon ECS Container Agent is read from /etc/ecs/ecs.config. All of the configurations in this file are used as environment variables of the ECS Agent container. Additionally, some configurations can be used to configure other properties of the ECS Agent container.
