Search Results for "production management" - Page 3

Showing 4095 open source projects for "production management"

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  • Red Hat Enterprise Linux on Microsoft Azure Icon
    Red Hat Enterprise Linux on Microsoft Azure

    Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.

    Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
  • Holistically view your business data within a single solution. Icon
    Holistically view your business data within a single solution.

    For IT service providers and MSPs that need a data platform to manage their processes

    BrightGauge, a ConnectWise solution, was started in 2011 to fill a missing need in the small-to-medium IT Services industry: a better way to manage data and provide the value of work to clients. BrightGauge Software allows you to display all of your important business metrics in one place through the use of gauges, dashboards, and client reports. Used by more than 1,800 companies worldwide, BrightGauge integrates with popular business solutions on the market, like ConnectWise, Continuum, Webroot, QuickBooks, Datto, IT Glue, Zendesk, Harvest, Smileback, and so many more. Dig deeper into your data by adding, subtracting, multiplying, and dividing one metric against another. BrightGauge automatically computes these formulas for you. Want to show your prospects how quick you are to respond to tickets? Show off your data with embeddable gauges on public sites.
  • 1
    MLRun

    MLRun

    Machine Learning automation and tracking

    MLRun is an open MLOps framework for quickly building and managing continuous ML and generative AI applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications, significantly reducing engineering efforts, time to production, and computation resources. MLRun breaks the silos between data, ML, software, and DevOps/MLOps teams, enabling collaboration and fast continuous...
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  • 2
    Dagster

    Dagster

    An orchestration platform for the development, production

    ... to be used at every stage of the data development lifecycle - local development, unit tests, integration tests, staging environments, all the way up to production. Identify the key assets you need to create using a declarative approach, or you can focus on running basic tasks. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
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  • 3
    dynaconf

    dynaconf

    Configuration Management for Python

    Inspired by the 12-factor application guide. Settings management (default values, validation, parsing, templating). Protection of sensitive information (passwords/tokens). Multiple file formats toml|yaml|json|ini|py and also customizable loaders. Full support for environment variables to override existing settings (dotenv support included). Optional layered system for multi environments [default, development, testing, production] (also called multi profiles). Built-in support for Hashicorp...
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  • 4
    ODD Platform

    ODD Platform

    First open-source data discovery and observability platform

    Unlock the power of big data with OpenDataDiscovery Platform. Experience seamless end-to-end insights, powered by unprecedented observability and trust - from ingestion to production - while building your ideal tech stack! Democratize data and accelerate insights. Find data that fits your use case and discover hints left by your peers to leverage existing knowledge. Explore tags, ownership details, links to other sources and other information to shorten and simplify data discovery phase. Forget...
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  • Finance Automation that puts you in charge Icon
    Finance Automation that puts you in charge

    Tipalti delivers smart payables that elevate modern business.

    Our robust pre-built connectors and our no-code, drag-and-drop interface makes it easy and fast to automatically sync vendors, invoices, and invoice payment data between Tipalti and your ERP or accounting software.
  • 5
    Weights and Biases

    Weights and Biases

    Tool for visualizing and tracking your machine learning experiments

    Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved code...
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  • 6
    Shifu

    Shifu

    Kubernetes-native IoT gateway

    Shifu is a Kubernetes native, production-grade, protocol & vendor agnostic IoT gateway. Developing your application while managing your devices, spares the need for maintaining an additional O&M infrastructure. No vendor lock-in. You can easily deploy Shifu on the edge(from RaspberryPi to edge clusters) or on the cloud(public, private, and hybrid cloud are all supported). HTTP, MQTT, RTSP, Siemens S7, TCP socket, OPC UA...The microservice architecture of Shifu enables it to quickly adapt to new...
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  • 7
    HyperDX

    HyperDX

    An open source observability platform unifying session replays & logs

    HyperDX helps engineers figure out why production is broken faster by centralizing and correlating logs, metrics, traces, exceptions and session replays in one place. An open-source and developer-friendly alternative to Datadog and New Relic. The HyperDX stack ingests, stores, and searches/graphs your telemetry data. After standing up the Docker Compose stack, you'll want to instrument your app to send data over to HyperDX.
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  • 8
    Authorizer

    Authorizer

    Your data, your control. Fully open source, authentication, etc.

    ...+ databases including Postgres, MySQL, SQLite, SQLServer, YugaByte, MariaDB, PlanetScale, CassandraDB, ScyllaDB, MongoDB, ArangoDB). This guide helps you practice using Authorizer to evaluate it before you use it in a production environment. It includes instructions for installing the Authorizer server in local or standalone mode.
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  • 9
    KServe

    KServe

    Standardized Serverless ML Inference Platform on Kubernetes

    KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary...
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  • Digital Enterprise Management System Icon
    Digital Enterprise Management System

    Successful Business Transformation starts with the right Enterprise Management System.

    Map, analyze and automate processes, manage regulatory compliance, assess risks within a single platform! Interfacing’s digital twin solution is an enterprise management system that helps companies digitilize processes to streamline operations, increase productivity and continuously improve.
  • 10
    SOFAJRaft

    SOFAJRaft

    A production-grade java implementation of RAFT consensus algorithm

    SOFAJRaft is a production-level, high-performance Java implementation based on the RAFT consistency algorithm that supports MULTI-RAFT-GROUP for high-load, low-latency scenarios. With SOFAJRaft you can focus on your business area. SOFAJRaft handles all RAFT-related technical challenges. SOFAJRaft is very user-friendly, which provides several examples, making it easy to understand and use.
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  • 11
    Loggie

    Loggie

    A lightweight, cloud-native data transfer agent and aggregator

    Loggie is a lightweight, high-performance, cloud-native agent and aggregator based on Golang. Loggie includes LogConfig/ClusterLogConfig/Interceptor/Sink CRDs, allowing for the creation of data collection, transfer, processing, and sending pipelines through simple YAML file creation. Supports deployment as an independent intermediate machine, which can receive aggregated data sent by Loggie Agent and can also be used to consume and process various data sources. Configure Filebeat and Loggie...
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  • 12
    PaaSTA

    PaaSTA

    An open, distributed platform as a service

    PaaSTA is a highly-available, distributed system for building, deploying, and running services using containers and Kubernetes. PaaSTA has been running production services at Yelp since 2016. It was originally designed to run on top of Apache Mesos but has subsequently been updated to use Kubernetes. Over time the features and functionality that PaaSTA provides have increased but the principal design remains the same. PaaSTA aims to take a declarative description of the services that teams need...
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  • 13
    Strimzi

    Strimzi

    Apache Kafka® running on Kubernetes

    Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. For development, it’s easy to set up a cluster in Minikube in a few minutes. For production you can tailor the cluster to your needs, using features such as rack awareness to spread brokers across availability zones, and Kubernetes taints and tolerations to run Kafka on dedicated nodes...
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  • 14
    PowerSimulations.jl

    PowerSimulations.jl

    Julia for optimization simulation and modeling of PowerSystems

    PowerSimulations.jl is a Julia package for power system modeling and simulation of Power Systems operations. Provide a flexible modeling framework that can accommodate problems of different complexity and at different time scales. Streamline the construction of large-scale optimization problems to avoid repetition of work when adding/modifying model details. Exploit Julia's capabilities to improve computational performance of large-scale power system quasi-static simulations. The flexible...
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  • 15
    Apache SeaTunnel

    Apache SeaTunnel

    SeaTunnel is a distributed, high-performance data integration platform

    SeaTunnel is a very easy-to-use ultra-high-performance distributed data integration platform that supports real-time synchronization of massive data. It can synchronize tens of billions of data stably and efficiently every day, and has been used in the production of nearly 100 companies. There are hundreds of commonly-used data sources of which versions are incompatible. With the emergence of new technologies, more data sources are appearing. It is difficult for users to find a tool that can...
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  • 16
    Phoenix

    Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    ...) are an amazing technology that will power many of future ML use cases. A large set of these technologies are being deployed into businesses (the real world) in what we consider a production setting.
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  • 17
    Step Certificates

    Step Certificates

    A private certificate authority (X.509 & SSH) & ACME server

    Open Source step-ca provides the infrastructure, automations, and workflows to securely create and operate a private certificate authority. step-ca makes it easy for developers, operators and security teams to manage certificates for production workloads. Get a public key infrastructure and certificate authority running in minutes. Automate enrollment using ACME, OIDC, one-time tokens, cloud APIs and more. Use systemD timers, daemon mode, cron jobs, CI/CD, and more to automate certificate...
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  • 18
    Chokidar

    Chokidar

    Minimal and efficient cross-platform file watching library

    ...), it is now used in Microsoft's Visual Studio Code, gulp, karma, PM2, browserify, webpack, BrowserSync, and many others. It has proven itself in production environments. Chokidar does still rely on the Node.js core fs module, but when using fs.watch and fs.watchFile for watching, it normalizes the events it receives, often checking for truth by getting file stats and/or dir contents.
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  • 19
    Dropwizard

    Dropwizard

    Simple library for building production-ready RESTful web services

    Dropwizard is a Java framework for developing ops-friendly, high-performance, RESTful web services. Dropwizard pulls together stable, mature libraries from the Java ecosystem into a simple, light-weight package that lets you focus on getting things done. Dropwizard has out-of-the-box support for sophisticated configuration, application metrics, logging, operational tools, and much more, allowing you and your team to ship a production-quality web service in the shortest time possible. Dropwizard...
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  • 20
    kOps

    kOps

    Production grade K8s installation, upgrades, and management

    The easiest way to get a production grade Kubernetes cluster up and running. We like to think of it as kubectl for clusters. kops will not only help you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes cluster, but it will also provision the necessary cloud infrastructure. AWS (Amazon Web Services) is currently officially supported, with DigitalOcean, GCE, and OpenStack in beta support, and Azure and AliCloud in alpha. YAML Manifest Based API Configuration...
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  • 21
    Acorn

    Acorn

    A simple application deployment framework built on Kubernetes

    Acorn is an app platform that makes it easy to build, share, and run containerized applications. Acorn provides a comprehensive way to describe your application and dependencies in a single file called an Acornfile. The Acornfile is built and packaged up into a single artifact that contains everything needed to deploy your application and can be shared with a link that will allow it's recipients to have a one-click deployment into a sandbox environment. Acorn Sandboxes are free compute...
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  • 22
    kube-fledged

    kube-fledged

    Kubernetes operator to create and manage cache of container images

    kube-fledged is a kubernetes operator for creating and managing a cache of container images directly on the worker nodes of a Kubernetes cluster. It allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pulled). As a result, application pods start almost instantly, since the images need not be pulled from the registry. kube-fledged provides CRUD APIs to manage the lifecycle of the image cache, and supports several configurable parameters to...
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  • 23
    KubeLinter

    KubeLinter

    KubeLinter is a static analysis tool that checks Kubernetes YAML files

    KubeLinter analyzes Kubernetes YAML files and Helm charts, and checks them against a variety of best practices, with a focus on production readiness and security. KubeLinter runs sensible default checks, designed to give you useful information about your Kubernetes YAML files and Helm charts. This is to help teams check early and often for security misconfigurations and DevOps best practices. Some common examples of these include running containers as a non-root user, enforcing least privilege...
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  • 24
    Kata Containers

    Kata Containers

    Build a standard implementation of lightweight Virtual Machines (VMs)

    Kata Containers is an open source container runtime, building lightweight virtual machines that seamlessly plug into the container ecosystem. Kata Containers is an open source community working to build a secure container runtime with lightweight virtual machines that feel and perform like containers, but provide stronger workload isolation using hardware virtualization technology as a second layer of defense. Since launching in December 2017, the community successfully merged the best parts...
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  • 25
    MetalLB

    MetalLB

    A network load-balancer implementation for Kubernetes

    ... in the “pending” state indefinitely when created. Bare-metal cluster operators are left with two lesser tools to bring user traffic into their clusters, “NodePort” and “externalIPs” services. Both of these options have significant downsides for production use, which makes bare-metal clusters second-class citizens in the Kubernetes ecosystem. MetalLB aims to redress this imbalance by offering a network load balancer implementation that integrates with standard network equipment.
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