Open Source Go Deployment Tools
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Go Deployment Tools
View 6191 business solutionsBrowse free open source Go Deployment Tools and projects below. Use the toggles on the left to filter open source Go Deployment Tools 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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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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Sidekick
Bare metal to production ready in mins; your own fly server
Sidekick is an open-source assistant application built to act as a specialized productivity companion, integrating AI capabilities into daily workflows like note-taking, task management, and contextual knowledge lookup. It provides a responsive interface where users can interact with AI to draft content, ask questions about projects, summarize lengthy text, and generate ideas or outlines, effectively serving as an intelligent extension of traditional productivity tools. Sidekick also includes structured tools like lists, reminders, and project folders so that users can combine generative assistance with tangible organizational frameworks. It supports connectivity with external data sources or APIs so that information can be pulled in contextually, helping to ground AI responses in user-specific content when available. Emphasizing simplicity and modularity, the platform lets users customize the assistant’s behavior, connect plugins, or adjust workflows to match personal styles. -
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Juju
Orchestration engine that enables the deployment, and integration
Juju is an open source application orchestration engine that enables any application operation (deployment, integration, lifecycle management) on any infrastructure (Kubernetes or otherwise) at any scale (development or production) in the same easy way (typically, one line of code), through special operators called ‘charms’. A charm is an operator - business logic encapsulated in reusable software packages that automate every aspect of an application's life. -
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Argo CD
Declarative continuous deployment for Kubernetes
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Application definitions, configurations, and environments should be declarative and version controlled. Application deployment and lifecycle management should be automated, auditable, and easy to understand. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Argo CD automates the deployment of the desired application states in the specified target environments. Application deployments can track updates to branches, tags, or pinned to a specific version of manifests at a Git commit. See tracking strategies for additional details about the different tracking strategies available. Argo CD is implemented as a kubernetes controller which continuously monitors running applications and compares the current, live state against the desired target state (as specified in the Git repo). -
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Helmfile
Declaratively deploy your Kubernetes manifests, Kustomize configs
Deploy Kubernetes Helm Charts. Declaratively deploy your Kubernetes manifests, Customize configs, and Charts as Helm releases. Generate all-in-one manifests for use with ArgoCD. Keep a directory of chart value files and maintain changes in version control. Apply CI/CD to configuration changes. Periodically sync to avoid skew in environments. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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KubeVela
The Modern Application Platform
KubeVela is a modern software delivery platform that makes deploying and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable. KubeVela is infrastructure agnostic, programmable, yet most importantly, application-centric. It allows you to build powerful software, and deliver them anywhere. Declare your deployment plan as workflow, run it automatically with any CI/CD or GitOps system, extend or re-program the workflow steps with CUE. Glue and orchestrate all your infrastructure capabilities as reusable modules and share the large growing community addons. No ad-hoc scripts, no dirty glue code, just deploy. The deployment workflow in KubeVela is powered by Open Application Model. -
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Syncd
syncd is an open source code deployment tool
syncd is an open source code deployment tool. It is simple, efficient, and easy to use, which can improve the work efficiency of the team. Go language development, simple compilation and efficient operation. Web interface access, interactive and friendly. The permission model is flexible and free. Support for custom builds. Support for Git repositories. Support branch, Tag online. Deploy Hook support, strong scalability. Perfect launch workflow. Email notification mechanism. -
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Knative Serving
Kubernetes-based, scale-to-zero, request-driven compute
Knative Serving defines a set of objects as Kubernetes Custom Resource Definitions (CRDs). These resources are used to define and control how your serverless workload behaves on the cluster. The service.serving.knative.dev resource automatically manages the whole lifecycle of your workload. It controls the creation of other objects to ensure that your app has a route, a configuration, and a new revision for each update of the service. Service can be defined to always route traffic to the latest revision or to a pinned revision. The route.serving.knative.dev resource maps a network endpoint to one or more revisions. You can manage the traffic in several ways, including fractional traffic and named routes. The configuration.serving.knative.dev resource maintains the desired state for your deployment. It provides a clean separation between code and configuration and follows the Twelve-Factor App methodology. Modifying a configuration creates a new revision. -
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kube-bench
Checks whether Kubernetes is deployed
kube-bench is a tool that checks whether Kubernetes is deployed securely by running the checks documented in the CIS Kubernetes Benchmark. Trivy, the all-in-one cloud-native security scanner, can be deployed as a Kubernetes Operator inside a cluster. Both, the Trivy CLI, and the Trivy Operator support CIS Kubernetes Benchmark scanning among several other features. There are multiple ways to run kube-bench. You can run kube-bench inside a pod, but it will need access to the host's PID namespace in order to check the running processes, as well as access to some directories on the host where config files and other files are stored. -
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Jaeger Operator for Kubernetes
Jaeger Operator for Kubernetes simplifies deploying and running Jaeger
The Jaeger Operator is an implementation of a Kubernetes Operator. Operators are pieces of software that ease the operational complexity of running another piece of software. More technically, Operators are a method of packaging, deploying, and managing a Kubernetes application. A Kubernetes application is an application that is both deployed on Kubernetes and managed using the Kubernetes APIs and kubectl (Kubernetes) or oc (OKD) tooling. To be able to make the most of Kubernetes, you need a set of cohesive APIs to extend in order to service and manage your apps that run on Kubernetes. Think of Operators as the runtime that manages this type of app on Kubernetes. The Jaeger Operator can be installed in Kubernetes-based clusters and is able to watch for new Jaeger custom resources (CR) in specific namespaces, or across the entire cluster. There is typically only one Jaeger Operator per cluster, but there might be at most one Jaeger Operator per namespace in multi-tenant scenarios. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Lab
Get up and running with Jenkins on Google Kubernetes Engine
The Lab repository is a hands-on tutorial and reference implementation that demonstrates how to build a complete continuous delivery pipeline using Kubernetes and Jenkins on Google Cloud. It walks developers through the process of automating software delivery by integrating source control, build systems, containerization, and deployment orchestration into a unified workflow. The project leverages Google Kubernetes Engine to manage containerized applications and uses Jenkins pipelines to define and execute build and deployment processes declaratively. It illustrates how to deploy applications using Kubernetes primitives such as deployments, services, ingress, and secrets, enabling scalable and resilient microservices architectures. The repository also highlights best practices such as GitOps workflows, automated rollouts, and secure credential management within CI/CD pipelines. -
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OpenFaaS
OpenFaaS - Serverless Functions Made Simple
OpenFaaS® makes it easy for developers to deploy event-driven functions and microservices to Kubernetes without repetitive, boiler-plate coding. Package your code or an existing binary in an OCI-compatible image to get a highly scalable endpoint with auto-scaling and metrics. -
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Uncloud
A lightweight tool for deploying and managing containerised apps
Uncloud is a self-hosted personal cloud and file synchronization platform that gives individuals full control over their data without relying on centralized third-party cloud providers. Designed to replace services like Dropbox or Google Drive for people who want privacy and ownership, uncloud lets you sync files across multiple devices—such as laptops, phones, or home servers—while keeping all contents under your own infrastructure. It supports versioning, conflict resolution, and incremental syncing so changes propagate efficiently without losing history or creating inconsistencies between devices. Users interact with a clean, user-friendly interface for uploading, organizing, and sharing files, while the backend ensures secure, encrypted transportation and storage of data. -
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flagger
Progressive delivery Kubernetes operator (Canary, A/B Testing)
Flagger is a progressive delivery tool that automates the release process for applications running on Kubernetes. It reduces the risk of introducing a new software version in production by gradually shifting traffic to the new version while measuring metrics and running conformance tests. Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. For release analysis, Flagger can query Prometheus, InfluxDB, Datadog, New Relic, CloudWatch, Stackdriver or Graphite and for alerting it uses Slack, MS Teams, Discord, and Rocket. Flagger can be configured with Kubernetes custom resources and is compatible with any CI/CD solutions made for Kubernetes. Since Flagger is declarative and reacts to Kubernetes events, it can be used in GitOps pipelines together with tools like Flux.
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