Open Source Go System Software - Page 4
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View 8542 business solutionsBrowse free open source Go System Software and projects below. Use the toggles on the left to filter open source Go System Software by OS, license, language, programming language, and project status.
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AGI (Android GPU Inspector)
Android GPU Inspector
Android GPU Inspector (AGI) is a desktop tool for profiling, tracing, and debugging graphics workloads running on Android devices. It helps developers analyze Vulkan and OpenGL ES applications at the system, frame, and draw-call levels to uncover GPU and CPU bottlenecks. AGI captures detailed performance counters, timelines, and pipeline state to reveal stalls, overdraw, shader hotspots, and inefficient resource usage. Its frame debugger lets you step through commands, inspect render targets and textures, review shaders, and experiment with pipeline changes to validate optimizations. Beyond per-frame analysis, AGI correlates GPU activity with CPU threads and system events to diagnose contention, scheduling issues, and thermal or power constraints. The tool is designed for reproducible performance investigations, making it easier to iterate, compare captures, and ship smoother, more efficient Android graphics experiences. -
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Afero
A FileSystem abstraction system for Go
Afero is a filesystem framework providing a simple, uniform and universal API interacting with any filesystem, as an abstraction layer providing interfaces, types and methods. Afero has an exceptionally clean interface and simple design without needless constructors or initialization methods. Afero is also a library providing a base set of interoperable backend filesystems that make it easy to work with afero while retaining all the power and benefit of the os and ioutil packages. Afero provides significant improvements over using the os package alone, most notably the ability to create mock and testing filesystems without relying on the disk. It is suitable for use in any situation where you would consider using the OS package as it provides an additional abstraction that makes it easy to use a memory backed file system during testing. It also adds support for the http filesystem for full interoperability. -
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Altinity Kubernetes Operator ClickHouse
Creates, configures and manages clusters running on Kubernetes
Altinity Kubernetes Operator for ClickHouse creates, configures and manages ClickHouse clusters running on Kubernetes. -
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Amazon EKS Anywhere Curated Packages
EKS Anywhere Curated Packages is a management system for installation
The EKS Anywhere package controller and the EKS Anywhere Curated Packages (referred to as “features”) are provided as “preview features” subject to the AWS Service Terms, (including Section 2 (Betas and Previews)) of the same. During the EKS Anywhere Curated Packages Public Preview, the AWS Service Terms are extended to provide customers access to these features free of charge. These features will be subject to a service charge and fee structure at the”General Availability“ of the features. EKS Anywhere Curated Packages is a management system for the installation, configuration and maintenance of additional components for your Kubernetes cluster. Examples of these components may include Container Registry, Ingress, LoadBalancer, etc. EKS Anywhere Curated Packages is tested using Prow, the Kubernetes CI system. EKS operates an installation of Prow. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Apache APISIX for Kubernetes
APISIX Ingress Controller for Kubernetes
Apache APISIX provides rich traffic management features like Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, Observability, etc. Apache APISIX provides open source API Gateway to help you manage microservices, delivering the ultimate performance, security, and scalable platform for all your APIs and microservices. Apache APISIX is the first open-source API Gateway that includes a built-in low-code Dashboard, which offers a powerful and flexible UI for developers to use. The Apache APISIX Dashboard is designed to make it as easy as possible for users to operate Apache APISIX through a frontend interface. It’s opensource and ever-evolving, feel free to contribute. -
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Comcast
Simulating bad network connections so you can build better systems
Testing distributed systems under hard failures like network partitions and instance termination is critical, but it's also important we test them under less catastrophic conditions because this is what they most often experience. Comcast is a tool designed to simulate common network problems like latency, bandwidth restrictions, and dropped/reordered/corrupted packets. It works by wrapping up some system tools in a portable(ish) way. On BSD-derived systems such as OSX, we use tools like ipfw and pfctl to inject failure. On Linux, we use iptables and tc. Comcast is merely a thin wrapper around these controls. Windows support may be possible with wipfw or even the native network stack, but this has not yet been implemented in Comcast and may be at a later date. On Linux, Comcast supports several options: device, latency, target/default bandwidth, packet loss, protocol, and port number. -
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Concourse
Concourse is a container-based continuous thing-doer written in Go
Built on the simple mechanics of resources, tasks, and jobs, Concourse presents a general approach to automation that makes it great for CI/CD. Concourse is designed to be expressive, versatile, and safe, remaining intuitive as the complexity of your project grows. A Concourse pipeline is like a distributed, continuous Makefile. Each job has a build plan declaring the job's input resources and what to run with them when they change. Your pipeline is then visualized in the web UI, taking only one click to get from a failed job to seeing why it failed. The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. Jobs can depend on other jobs by configuring passed constraints. The resulting chain of jobs and resources is a dependency graph that continuously pushes your project forward, from source code to production. -
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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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MemGuard
Secure software enclave for storage of sensitive information in memory
This package attempts to reduce the likelihood of sensitive data being exposed when in memory. It aims to support all major operating systems and is written in pure Go. Sensitive data is encrypted and authenticated in memory with XSalsa20Poly1305. The scheme used also defends against cold-boot attacks. Memory allocation bypasses the language runtime by using system calls to query the kernel for resources directly. This avoids interference from the garbage collector. Buffers that store plaintext data are fortified with guard pages and canary values to detect spurious accesses and overflows. The effort is taken to prevent sensitive data from touching the disk. This includes locking memory to prevent swapping and handling core dumps. Kernel-level immutability is implemented so that attempted modification of protected regions results in an access violation. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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NATS
Server for NATS.io, the cloud and edge native messaging system
With flexible deployments models using clusters, superclusters, and leaf nodes, optimize communications for your unique deployment. The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in a deployment and NATS will do the right thing. With the ability to process millions of messages a second per server, you’ll find unparalleled efficiency with NATS. Save money by minimizing cloud costs with reduced compute and network usage for streams, services, and eventing. NATS self-heals and can scale up, down, or handle topology changes anytime with zero downtime to your system. Clients require zero awareness of NATS topology allowing you future proof your system to meet your needs of today and tomorrow. -
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NGINX Ingress Controller
NGINX Ingress Controller for Kubernetes
ingress-nginx is an Ingress controller for Kubernetes using NGINX as a reverse proxy and load balancer. It is built around the Kubernetes Ingress resource, using a ConfigMap to store the NGINX configuration. The goal of this Ingress controller is the assembly of a configuration file (nginx.conf). The main implication of this requirement is the need to reload NGINX after any change in the configuration file. Though it is important to note that we don't reload Nginx on changes that impact only an upstream configuration (i.e Endpoints change when you deploy your app). We use lua-nginx-module to achieve this. Check below to learn more about how it's done. Usually, a Kubernetes Controller utilizes the synchronization loop pattern to check if the desired state in the controller is updated or a change is required. To this purpose, we need to build a model using different objects from the cluster, in particular (in no special order) Ingresses, Services, Endpoints, Secrets, and Configmaps. -
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Nezha Monitoring
Self-hosted, lightweight server and website monitoring and O&M tool
Nezha is a self-hosted monitoring and alerting tool for servers, providing real-time tracking and notifications on server health and performance. -
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Stash Kubernetes
Backup your Kubernetes Stateful Applications
A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds. Backup your data in Kubernetes native way. Stash uses Custom Resource Definition (CRD) to specify targets and behaviors of the backup and restore process. Schedule a backup for your workloads in the same way you deployed them into Kubernetes. Back up your Kubernetes volumes mounted in a workload. Stash supports Deployment, DaemonSet, StatefulSet, ReplicaSet, ReplicationController, OpenShift DeploymentConfig etc. You can also backup stand-alone PVC with "ReadWriteMany" access mode. Back up your databases deployed in Kubernetes. Stash supports backup of MariaDB, Redis, PostgreSQL, MySQL, MongoDB, Elasticsearch and Percona XtraDB, Etcd databases. It seemingly integrates with KubeDB. It is now a recommended method to backup up KubeDB-supported databases. -
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Viper
A complete configuration solution for Go applications
Viper is a complete configuration solution for Go applications including 12-Factor apps. It is designed to work within an application, and can handle all types of configuration needs and formats. It supports setting defaults, reading from JSON, TOML, YAML, HCL, envfile and Java properties config files, live watching and re-reading of config files (optional), reading from environment variables, reading from remote config systems (etcd or Consul), and watching changes, reading from command line flags, reading from buffer, and setting explicit values. iper can be thought of as a registry for all of your applications configuration needs. When building a modern application, you don’t want to worry about configuration file formats; you want to focus on building awesome software. Viper is here to help with that. -
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Zarf
DevSecOps for Air Gap & Limited-Connection Systems
Zarf eliminates the complexity of air gap software delivery for Kubernetes clusters and cloud-native workloads using a declarative packaging strategy to support DevSecOps in offline and semi-connected environments. -
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coroot
Open-source observability for microservices
Collecting metrics, logs, and traces alone doesn't make your applications observable. Coroot turns that data into actionable insights for you. Enable system observability in minutes, no code changes required. Each release is automatically compared with the previous one, so you'll never miss even the slightest performance degradation. With integrated Cost Monitoring, developers can track how each change affects their cloud bill. Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior. -
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deej
Set app volumes with real sliders! Arduino project to build hardware
deej is an open-source hardware volume mixer for Windows and Linux PCs. It lets you use real-life sliders (like a DJ!) to seamlessly control the volumes of different apps (such as your music player, the game you're playing and your voice chat session) without having to stop what you're doing. Control your microphone's input level. Lightweight desktop client, consuming around 10MB of memory. Runs from your system tray. Helpful notifications to let you know if something isn't working. The sliders are connected to 5 (or as many as you like) analog pins on an Arduino Nano/Uno board. They're powered from the board's 5V output (see schematic). The board connects via a USB cable to the PC. The code running on the Arduino board is a C program constantly writing current slider values over its serial interface. The PC runs a lightweight Go client in the background. This client reads the serial stream and adjusts app volumes according to the given configuration file. -
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dockerize
Utility to simplify running applications in docker containers
Utility to simplify running applications in docker containers. dockerize is a utility to simplify running applications in docker containers. It allows you to generate application configuration files at container startup time from templates and container environment variables. generate application configuration files at container startup time from templates and container environment variables. Wait for other services to be available using TCP, HTTP(S), unix before starting the main process. The typical use case for dockerize is when you have an application that has one or more configuration files and you would like to control some of the values using environment variables. Another use case is when the application logs to specific files on the filesystem and not stdout or stderr. This makes it difficult to troubleshoot the container using the docker logs command. -
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lakeFS
lakeFS - Git-like capabilities for your object storage
Increase data quality and reduce the painful cost of errors. Data engineering best practices using git-like operations on data. lakeFS is an open-source data version control for data lakes. It enables zero-copy Dev / Test isolated environments, continuous quality validation, atomic rollback on bad data, reproducibility, and more. Data is dynamic, it changes over time. Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines. -
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node-prune
Remove unnecessary files from node modules
node-prune is a small tool to prune unnecessary files from ./node_modules, such as markdown, typescript source files, and so on. Primarily built for Up which lets you deploy serverless web applications in seconds. -
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onedriver
A native Linux filesystem for Microsoft OneDrive
onedriver is a native Linux filesystem for Microsoft OneDrive. onedriver is a network filesystem that gives your computer direct access to your files on Microsoft OneDrive. This is not a sync client. Instead of syncing files, onedriver performs an on-demand download of files when your computer attempts to use them. onedriver allows you to use files on OneDrive as if they were files on your local computer. Easily sync files between any number of Windows, Mac, and Linux computers. You can setup your phone to auto-upload photos to OneDrive and edit and view them on your Linux computer. You can switch between LibreOffice on your local computer and the Microsoft 365 online apps as needed when working. Want to migrate from Windows to Linux? Just throw all your Windows files into OneDrive, add your OneDrive account to Linux with onedriver, and call it a day. -
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plow
A high-performance HTTP benchmarking tool
Plow is an HTTP(S) benchmarking tool, written in Golang. It uses excellent fast HTTP instead of Go's default net/http due to its lightning-fast performance. Plow runs at specified connections (option -c) concurrently and real-time records summary statistics, histogram of execution time and calculates percentiles to display on Web UI and terminal. It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C is interrupted. The implementation of real-time computing Histograms and Quantiles using stream-based algorithms inspired by Prometheus with low memory and CPU bounds. so it's almost no additional performance overhead for benchmarking. -
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stern
Multi pod and container log tailing for Kubernetes
Stern allows you to tail multiple pods on Kubernetes and multiple containers within the pod. Each result is color-coded for quicker debugging. The query is a regular expression so the pod name can easily be filtered and you don't need to specify the exact id (for instance omitting the deployment id). If a pod is deleted it gets removed from tail and if a new pod is added it automatically gets tailed. When a pod contains multiple containers Stern can tail all of them too without having to do this manually for each one. Simply specify the container flag to limit what containers to show. By default all containers are listened to. If you don't want to build from source go grab a binary release. Govendor is required to install vendored dependencies. On macOS, you can also install Stern using Homebrew. -
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surge
Surge is a p2p filesharing app designed to utilize blockchain
Surge is a peer-to-peer file-sharing application that leverages blockchain technologies to facilitate anonymous and secure file transfers. It employs end-to-end encryption and a decentralized network to ensure user privacy and data integrity. Surge's design focuses on simplicity and anonymity, making it a suitable choice for users seeking private file-sharing solutions. -
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SulinOS
Indipendent distro uses inary package system. Sulin is roolling donkey
Sulin is rolling donkey Gitlab: https://gitlab.com/sulinos Github: https://github.com/sulinos Telegram: https://t.me/sulinos powered by donkey team
