Open Source Go System Software - Page 11
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Go System Software
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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Simple, Secure Domain RegistrationRegister or renew your domain and pay only what we pay. No markups, hidden fees, or surprise add-ons. Choose from over 400 TLDs (.com, .ai, .dev). Every domain is integrated with Cloudflare's industry-leading DNS, CDN, and free SSL to make your site faster and more secure. Simple, secure, at-cost domain registration.
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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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Seesaw v2
Seesaw v2 is a Linux Virtual Server based load balancing platform
Seesaw is a software load balancer and traffic director focused on L3/L4 load balancing with high availability and operational simplicity. Built with production reliability in mind, it uses anycast and health-checking to steer traffic to healthy backends while avoiding single points of failure. It supports common load-balancing policies, NAT, and VIP management, and pairs with standard Linux networking primitives for predictable performance. A controller/worker architecture separates configuration and dataplane concerns, enabling safe rollouts and fast failover. Operators get tooling to define services declaratively and to observe the state of pools, backends, and routes. Seesaw aims to be understandable and operable by network and SRE teams who prefer transparent, Linux-native components over opaque appliances. -
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Shell-operator
A tool for running event-driven scripts in Kubernetes
Shell-operator is a tool for running event-driven scripts in a Kubernetes cluster. This operator is not an operator for a particular software product such as Prometheus-operator or Kafka-operator. Shell-operator provides an integration layer between Kubernetes cluster events and shell scripts by treating scripts as hooks triggered by events. Think of it as an operator-sdk but for scripts. Shell-operator is used as a base for a more advanced addon-operator that supports Helm charts and value storages. -
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SigLens
100x Efficient Log Management than Splunk
Siglens is an open-source signal analysis toolkit designed for processing and visualizing time-series data, commonly used in scientific and engineering applications. -
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SummitDB
In-memory NoSQL database with ACID transactions, Raft consensus, etc.
SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and is built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting. The easiest way to get SummitDB is to use one of the pre-built release binaries which are available for OSX, Linux, and Windows. SummitDB can be compiled and used on Linux, OSX, Windows, FreeBSD, ARM (Raspberry PI) and probably others since the codebase is 100% Go. We support both 32-bit and 64-bit systems. Go must be installed on the build machine. It may be worth noting that while SummitDB supports many Redis features, it is not a strict Redis clone. SummitDB provides one key space that is a large B-tree. An ordered key space allows for stable paging through keys using the KEYS command. Redis uses an unordered dictionary structure and provides a specialized SCAN command for iterating through keys. -
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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Tendermint
Tendermint Core (BFT Consensus) in Go
Tendermint Core is a Byzantine Fault Tolerant (BFT) middleware that takes a state transition machine, written in any programming language, and securely replicates it on many machines. Building the most powerful tools for distributed networks. We are Tendermint, a core contributor to the Cosmos Network. Powerful & secure software for the decentralized future. Tendermint has been in the production of private and public environments, most notably the blockchains of the Cosmos Network. we haven't released v1.0 yet since we are making breaking changes to the protocol and the APIs. We also maintain a dedicated mailing list for security updates. We will only ever use this mailing list to notify you of vulnerabilities and fixes in Tendermint Core. Tendermint uses Semantic Versioning to determine when and how the version changes. According to SemVer, anything in the public API can change at any time before version 1.0.0. -
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Tetragon
eBPF-based Security Observability and Runtime Enforcement
Tetragon is a flexible Kubernetes-aware security observability and runtime enforcement tool that applies policy and filtering directly with eBPF, allowing for reduced observation overhead, tracking of any process, and real-time enforcement of policies. Observe the complete lifecycle of every process on your machine with Kubernetes context awareness. Translate high-level policies for file monitoring, network observability, container security, and more into low-overhead eBPF programs. Synchronous monitoring, filtering, and enforcement completely in the kernel with eBPF. -
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TiDB Operator
TiDB operator creates and manages TiDB clusters running in Kubernetes
Using TiDB Operator provided by PingCAP, you can run and maintain TiDB seamlessly on the Kubernetes clusters deployed on a public cloud or in a self-hosted environment. TiDB Operator empowers TiDB with horizontal scalability on the cloud. Gracefully perform rolling updates for the TiDB cluster in order, achieving zero-downtime of the TiDB cluster. Users can deploy and manage multiple TiDB clusters on a single Kubernetes cluster easily. TiDB Operator automatically performs failover for your TiDB cluster when node failures occur. By embracing Kubernetes package manager Helm, users can easily deploy TiDB clusters with only one command. -
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Tracee
Linux Runtime Security and Forensics using eBPF
Tracee is a runtime security and observability tool that helps you understand how your system and applications behave. It is using eBPF technology to tap into your system and expose that information as events that you can consume. Events range from factual system activity events to sophisticated security events that detect suspicious behavioral patterns. -
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# UnixDaemonReloader https://github.com/BestianRU/SSServices/tree/master/SSSUnix/UnixDaemonReloader ### ENG: * Automatic restart unix-demons when the configuration files are modified. * Execution any commands when changing specified files. ### RUS: * Автоматическая перезагрузка unix-демонов при изменении конфигурационного файла. * Выполнение любых команд при изменении указанных файлов. #### *Default install folder: /server/SSS/UnixDaemonReloader* # Configuration file syntax see in the README.md
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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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Weave Scope
Monitoring, visualization and management for Docker and Kubernetes
Understand your application quickly by seeing it in a real-time interactive display. Pick open-source or cloud-hosted options. Weave Scope automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. Seamless integration with Docker, Kubernetes, DCOS and AWS ECS. See your Docker hosts, containers and services in real-time. Easily identify and correct issues to ensure the stability and performance of your containerized applications. View metrics, tags and metadata within the context of a process, container, service or host. Effortlessly navigate from processes inside your container to Docker hosts. Stop, start, pause and restart containers. View logs. Launch a command line. All without leaving Scope. Choose an overview of your container infrastructure, or focus on a specific microservice. Easily identify and correct issues to ensure the stability and performance of your containerized applications. -
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Wukong
Highly customizable full-text search engine
Efficient indexing and searching (1M Weibo 500M data is indexed in 28 seconds, search response time is 1.65 milliseconds, and search QPS is 19K). Support Chinese word segmentation (concurrent word segmentation using the sego word segmentation package, speed 27MB/sec). Support to calculate the proximity distance of keywords in the text (token proximity). When a request to add a document to the index comes in, the main coroutine will send the text to be segmented to a word segmentation coroutine through a channel, and the coroutine will segment the text and send it to a word segmentation through another channel. Indexer coroutines. The indexer coroutine builds an inverted index from the search keyword to the document, and the inverted index table is stored in memory for quick recall. The main coroutine receives the user's request, segments the request phrase in the main coroutine, and then sends it to the indexer through the channel. -
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XOS test builds
AOSP-based Operating System (On phone tap on "Try to download anyway")
halogenOS test builds (release builds are just a leftover) The test builds and modules are supposed to be only used by our testers. But if you are not a tester, and use these builds anyways, don't expect support if you get problems. You can report the bugs, but you have to be experienced enough to know how to revert back to a working state and how to report bugs and provide logs. -
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ZITADEL
Identity infrastructure, simplified for you
Secure authentication management for your application. Customize as you grow, with easy APIs and programmable workflows. Focus on growing, your login is in good hands. Streamline your application development with our all-in-one identity suite. Designed for all user types, be it consumers, businesses, or employees. Offload complex tasks by using our API as solid abstractions. Benefit from an adaptable identity infrastructure with custom code extensions and robust security defaults. -
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amazon-vpc-cni-k8s
Networking plugin repository for pod networking in Kubernetes
Networking plugin repository for pod networking in Kubernetes using Elastic Network Interfaces on AWS. Launch kubelet with network plugins set to cni (--network-plugin=cni), the cni directories configured (--cni-config-dir and --cni-bin-dir) and node ip set to the primary IPv4 address of the primary ENI for the instance (--node-ip=$(curl http://169.254.169.254/latest/meta-data/local-ipv4)). It is also recommended that you set --max-pods equal to (the number of ENIs for the instance type × (the number of IPs per ENI - 1)) + 2; for details, see vpc_ip_resource_limit.go. Setting --max-pods will prevent scheduling that exceeds the IP address resources available to the kubelet. The Amazon VPC CNI plugin for Kubernetes supports a number of configuration options, which are set through environment variables. The following environment variables are available, and all of them are optional. -
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automaxprocs
Automatically set GOMAXPROCS to match Linux container CPU quota
Automatically set GOMAXPROCS to match Linux container CPU quota. All APIs are finalized, and no breaking changes will be made in the 1.x series of releases. Users of semver-aware dependency management systems should pin automaxprocs to ^1. When GOMAXPROCS is increased above the CPU quota, we see P50 decrease slightly but see significant increases to P99. We also see that the total RPS handled also decreases. Data was measured from Uber's internal load balancer. We ran the load balancer with 200% CPU quota (i.e., 2 cores). -
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balancer
A go library that implements load balancing algorithms
balancer is a layer 7 load balancer that supports http and https, and it is also a go library that implements load-balancing algorithms. -
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cozystack
PaaS and framework that replace or compete with AWS, VMware
Open Source AI-ready PaaS and framework for building your own cloud on bare metal and running managed Kubernetes, virtual machines, Databases-as-a-Service or for creating your own AWS/GCP/Azure competitor for ISP/MSP/hosting providers. CNCF Project - Control your data - Cut dependence from the tech giants - Enable digital sovereignty - Use modern tools and APIs with any server - Fully utilize GPU resources for AI Who is it for? Banks and fintechs, AI-driven companies, service providers and data centers, governances, regulated and privacy-conscious organizations, integrators and independent IT consultants -
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drive
Google Drive client for the commandline
drive is a tiny program to pull or push Google Drive files. Make sure to set your GOPATH in your env, .bashrc or .bash_profile file. You can install scripts for automating major drive commands and syncing from drive-google wiki, also described in platform_packages.md. See file Makefile which currently supports cross compilation. Just run make and then inspect the binaries in directory bin. drive supports resource configuration files (.driverc) that you can place both globally (in your home directory) and locally(in the mounted drive dir) or in the directory that you are running an operation from, relative to the root. drive allows you to specify a '.driveignore' file similar to your .gitignore, in the root directory of the mounted drive. Blank lines and those prefixed by '#' are considered as comments and skipped. -
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elastic-jupyter-operator
Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes
Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. GPU and other hardware resources will be bound to the specified notebooks even if the data scientists do not need them currently. This project proposes some Kubernetes CRDs to solve these problems. -
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endlessh-go
A golang implementation of endlessh exporting Prometheus metrics
Endlessh is a great idea that not only blocks the brute force SSH attacks, but also wastes attackers time as a kind of counter-attack. Besides trapping the attackers, I also want to visualize the Geolocations and other statistics of the sources of attacks. Unfortunately the wonderful original C implementation of endlessh only provides text based log, but I do not like the solution that writes extra scripts to parse the log outputs, then exports the results to a dashboard, because it would introduce extra layers in my current setup and it would depend on the format of the text log file rather than some structured data. Thus I create this golang implementation of endlessh to export Prometheus metrics and a Grafana dashboard to visualize them. -
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etcd operator
etcd operator creates/configures/manages etcd clusters atop Kubernetes
The etcd operator manages etcd clusters deployed to Kubernetes and automates tasks related to operating an etcd cluster. -
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fft
A fast distributed file transfer
fft is a distributed file transfer tool designed to accelerate large file movement by coordinating multiple relay nodes in parallel rather than depending on a single server’s bandwidth ceiling. Its architecture splits a transfer into concurrent “workers” that fetch or push chunks across multiple paths, improving throughput on high-latency or bandwidth-constrained links. The project is implemented in Go and exposes a straightforward command-line interface so operators can stand up senders, receivers, and relays with minimal ceremony. Because it’s oriented around relays, it can better utilize geographically diverse infrastructure and avoid bottlenecks at any one egress point. The issue tracker highlights active concerns such as congestion control with many workers and IPv6 support, signaling performance-minded design goals. Overall, fft aims to give teams a fast, resilient way to move big artifacts using parallelism at the network edge. -
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gRPC-Go
The Go language implementation of gRPC. HTTP/2 based RPC
gRPC is a modern open source high performance Remote Procedure Call (RPC) framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services. Define your service using Protocol Buffers, a powerful binary serialization toolset and language. Install runtime and dev environments with a single line and also scale to millions of RPCs per second with the framework. Automatically generate idiomatic client and server stubs for your service in a variety of languages and platforms. Bi-directional streaming and fully integrated pluggable authentication with HTTP/2-based transport. -
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gev
Gev is a lightweight, fast non-blocking TCP network library
Gev is a lightweight, fast non-blocking TCP network library / websocket server based on Reactor mode. Support custom protocols to quickly and easily build high-performance servers. Support custom protocols to quickly and easily build high-performance servers. High-performance event loop based on epoll and kqueue. Support multi-core and multi-threading. Dynamic expansion of read and write buffers implemented by Ring Buffer. Asynchronous read and write. SO_REUSEPORT port reuse support. Automatically clean up idle connections. Support WebSocket/Protobuf, custom protocols. Support for scheduled tasks and delayed tasks. High-performance web socket server. -
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go-doudou
A lightweight microservice framework
go-doudou (doudou pronounce /dəudəu/) is OpenAPI 3.0 (for REST) spec and Protobuf v3 (for grpc) based lightweight microservice framework. It supports monolith service applications as well. Starts from golang interface, no need to learn new IDL(interface definition language). Powerful code generator cli built-in. After defining your interface methods, your only job is implementing your awesome idea. Born from the cloud-native era. Built-in CLI can speed up your product iteration. Built-in service governance support including remote configuration management, client-side load balancer, rate limiter, circuit breaker, bulkhead, timeout, retry and more. Supporting both monolith and microservice architectures gives you flexibility to design your system. Go-doudou (doudou pronounce /dəudəu/) is OpenAPI 3.0 (for REST) spec and Protobuf v3 (for grpc) based lightweight microservice framework. It supports monolith service application as well.