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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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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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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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. -
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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. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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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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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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Tekton Pipelines
A cloud-native Pipeline resource
Tekton is a powerful and flexible open-source framework for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premise systems. Get started with Tekton. Tekton standardizes CI/CD tooling and processes across vendors, languages, and deployment environments. It works well with Jenkins, Jenkins X, Skaffold, Knative, and many other popular CI/CD tools. Tekton lets you create CI/CD systems quickly, giving you scalable, serverless, cloud native execution out of the box. Tekton abstracts the underlying implementation so that you can choose the build, test, and deploy workflow based on your team’s requirements. Tekton is a collaborative project where members of the ecosystem contribute together to make CI/CD easier for everyone. See the individuals and organizations that are involved in the Tekton project. -
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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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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. -
Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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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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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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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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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 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 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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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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Infracost
Cloud cost estimates for Terraform in pull requests
Infracost scans for Terraform code changes and checks over 3 million prices to create a simple, understandable cost estimate before any resources are launched. Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and managers with different scenarios. Infracost supports over 230 Terraform resources across AWS, Azure and Google. Other IaC tools, such as Pulumi, AWS CloudFormation/CDK and Azure ARM/Bicep are on our roadmap. Infracost can also estimate usage-based resources such as AWS S3 or Lambda! Infracost has many CI/CD integrations so you can easily post cost estimates in pull requests. This provides your team with a safety net as people can discuss costs as part of the workflow. -
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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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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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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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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 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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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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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. -
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Amazon Genomics CLI
Tool to simplify the processes of deploying the AWS infrastructure
Amazon Genomics CLI is an open-source CLI that helps customers run genomics workflows in the cloud by automating the deployment of best practices infrastructure for workflow engines. Amazon Genomics CLI reduces the time for scientists and developers to start running existing genomics workflows at scale and speeds up iteration cycles as they develop new ones. Amazon Genomics CLI is an open-source tool for genomics and life science customers that simplifies and automates the deployment of cloud infrastructure, providing you with an easy-to-use command-line interface to quickly setup and run genomics workflows on Amazon Web Services (AWS) specified by languages like WDL. By removing the heavy lifting from setting up and running genomics workflows in the cloud, software developers and researchers can automatically provision, configure and scale cloud resources to enable faster and more cost-effective population-level genetics studies, drug discovery cycles, and more.
