Search Results for "operations management" - Page 2

Showing 360 open source projects for "operations management"

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  • Achieve perfect load balancing with a flexible Open Source Load Balancer Icon
    Achieve perfect load balancing with a flexible Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    Boost application security and continuity with SKUDONET ADC, our Open Source Load Balancer, that maximizes IT infrastructure flexibility. Additionally, save up to $470 K per incident with AI and SKUDONET solutions, further enhancing your organization’s risk management and cost-efficiency strategies.
  • Passwordless authentication enables a secure and frictionless experience for your users | Auth0 Icon
    Over two-thirds of people reuse passwords across sites, resulting in an increasingly insecure e-commerce ecosystem. Learn how passwordless can not only mitigate these issues but make the authentication experience delightful. Implement Auth0 in any application in just five minutes
  • 1
    Polyhedra

    Polyhedra

    Polyhedral Computation Interface

    Polyhedra provides an unified interface for Polyhedral Computation Libraries such as CDDLib.jl. This manipulation notably includes the transformation from (resp. to) an inequality representation of a polyhedron to (resp. from) its generator representation (convex hull of points + conic hull of rays) and projection/elimination of a variable with e.g. Fourier-Motzkin.
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  • 2
    Keptn

    Keptn

    Cloud-native application life-cycle orchestration

    Cloud-native application life-cycle orchestration. Keptn automates your SLO-driven multi-stage delivery and operations & remediation of your applications. Keptn is an event-based control plane for continuous delivery and automated operations for cloud-native applications.
    Downloads: 1 This Week
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  • 3
    Measurements.jl

    Measurements.jl

    Error propagation calculator and library for physical measurements

    Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have...
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  • 4
    FinEtools.jl

    FinEtools.jl

    Finite Element tools in Julia

    FinEtools is a package for basic operations on finite element meshes: Construction, modification, selection, and evaluation of quantities defined on a mesh. Utilities are provided for maintaining mesh-based data (fields), for defining normals and loads, for working with physical units and coordinate systems, and for integrating over finite element meshes.
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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.
  • 5
    Spring Batch

    Spring Batch

    Spring Batch is a framework for writing batch applications using Java

    A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high...
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  • 6
    Luigi

    Luigi

    Python module that helps you build complex pipelines of batch jobs

    Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop...
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  • 7
    Dolphin Scheduler

    Dolphin Scheduler

    A distributed and extensible workflow scheduler platform

    ... definition operations are visualized, Visualization process defines key information at a glance, One-click deployment. Support multi-tenant. Support many task types e.g., spark,flink,hive, mr, shell, python, sub_process. Support custom task types, Distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster.
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  • 8
    Triton Inference Server

    Triton Inference Server

    The Triton Inference Server provides an optimized cloud

    ... real-time, batched, ensembles, and audio/video streaming. Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases.
    Downloads: 1 This Week
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  • 9
    Arroyo

    Arroyo

    Distributed stream processing engine in Rust

    Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available.
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  • Cyber Risk Assessment and Management Platform Icon
    Cyber Risk Assessment and Management Platform

    ConnectWise Identify is a powerful cybersecurity risk assessment platform offering strategic cybersecurity assessments and recommendations.

    When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
  • 10
    ImplicitDifferentiation.jl

    ImplicitDifferentiation.jl

    Automatic differentiation of implicit functions

    ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings. Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls to external solvers, mutating operations or type restrictions. Those for which automatic differentiation is very slow. A common example is iterative procedures like fixed point equations or optimization algorithms.
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  • 11
    IndexedTables.jl

    IndexedTables.jl

    Flexible tables with ordered indices

    IndexedTables provides tabular data structures where some of the columns form a sorted index. It provides the backend to JuliaDB, but can be used on its own for efficient in-memory data processing and analytics.
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  • 12
    Jekyll Admin

    Jekyll Admin

    Jekyll plugin that provides users with a traditional CMS interface

    A Jekyll plugin that provides users with a traditional CMS-style graphical interface to author content and administer Jekyll sites. The project is divided into two parts. A Ruby-based HTTP API that handles Jekyll and filesystem operations, and a Javascript-based front end, built on that API. The plugin allows you to customize the name of a collection that is displayed in the sidebar by defining it in the collection's metadata in the config file. For example, if your source's posts are actually...
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  • 13
    sharp

    sharp

    High performance Node.js image processing module

    ... resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. Output images can be in JPEG, PNG, WebP, AVIF and TIFF formats as well as uncompressed raw pixel data. Streams, Buffer objects and the filesystem can be used for input and output.
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  • 14
    AWS IoT Device SDK for Python

    AWS IoT Device SDK for Python

    SDK for connecting to AWS IoT from a device using Python

    ..., performance, and security. We invite your feedback! The SDK is built on top of a modified Paho MQTT Python client library. Developers can choose from two types of connections to connect to AWS IoT. For MQTT over TLS (port 8883 and port 443), a valid certificate and a private key are required for authentication. For MQTT over the WebSocket protocol (port 443), a valid AWS Identity and Access Management (IAM) access key ID and secret access key pair are required for authentication.
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  • 15
    FileTrees.jl

    FileTrees.jl

    Parallel file processing made easy

    Easy everyday parallelism with a file tree abstraction. Read a directory structure as a Julia data structure, (lazy-)load the files, apply map and reduce operations on the data while not exceeding available memory if possible. Make up a file tree in memory, create some data to go with each file (in parallel), write the tree to disk (in parallel). FileTrees is a set of tools to lazy-load, process and save file trees. Built-in parallelism allows you to max out all threads and processes that Julia...
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  • 16
    Bank of Anthos

    Bank of Anthos

    Retail banking sample application showcasing Kubernetes

    Bank of Anthos is a sample HTTP-based web app that simulates a bank's payment processing network, allowing users to create artificial bank accounts and complete transactions. Google uses this application to demonstrate how developers can modernize enterprise applications using Google Cloud products, including: Google Kubernetes Engine (GKE), Anthos Service Mesh (ASM), Anthos Config Management (ACM), Migrate to Containers, Spring Cloud GCP, Cloud Operations, Cloud SQL, Cloud Build, and Cloud...
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  • 17
    Kubermatic Kubernetes Platform

    Kubermatic Kubernetes Platform

    The Central Kubernetes Management Platform For Any Infrastructure

    Kubermatic Kubernetes Platform is in an open source project to centrally manage the global automation of thousands of Kubernetes clusters across multicloud, on-prem and edge with unparalleled density and resilience. Kubermatic Kubernetes Platform Community Edition (CE) is available freely under the Apache License, Version 2.0. Kubermatic Kubernetes Platform Enterprise Edition (EE) includes premium features that are most useful for organizations with large-scale Kubernetes installations with...
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  • 18
    Juju

    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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  • 19
    MultivariatePolynomials.jl

    MultivariatePolynomials.jl

    Multivariate polynomials interface

    MultivariatePolynomials.jl is an implementation-independent library for manipulating multivariate polynomials. It defines abstract types and an API for multivariate monomials, terms, and polynomials and gives default implementation for common operations on them using the API. On the one hand, This packages allows you to implement algorithms on multivariate polynomials that will be independant on the representation of the polynomial that will be chosen by the user. On the other hand, it allows...
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  • 20
    Coverage.jl

    Coverage.jl

    Take Julia code coverage and memory allocation results, do useful thin

    Julia can track how many times, if any, each line of your code is run. This is useful for measuring how much of your code base your tests actually test, and can reveal the parts of your code that are not tested and might be hiding a bug. You can use Coverage.jl to summarize the results of this tracking or to send them to a service like Coveralls.io or Codecov.io. Julia can track how much memory is allocated by each line of your code. This can reveal problems like type instability, or operations...
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  • 21
    Tullio.jl

    Tullio.jl

    Tullio is a very flexible einsum macro

    Tullio is a very flexible einsum macro. It understands many array operations written in index notation -- not just matrix multiplication and permutations, but also convolutions, stencils, scatter/gather, and broadcasting. Used by itself the macro writes ordinary nested loops much like Einsum.@einsum. One difference is that it can parse more expressions, and infer ranges for their indices. Another is that it will use multi-threading (via Threads.@spawn) and recursive tiling, on large enough...
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  • 22
    Kestra

    Kestra

    Kestra is an infinitely scalable orchestration and scheduling platform

    Build reliable workflows, blazingly fast, deploy in just a few clicks. Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate...
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  • 23
    kpt Kubernetes

    kpt Kubernetes

    Automate Kubernetes Configuration Editing

    kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data.
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  • 24
    Robusta

    Robusta

    Kubernetes observability and automation

    Keep your Kubernetes microservices up and running. Connect your existing Prometheus, gain 360° observability. Robusta is both an automation engine for Kubernetes and a multi-cluster observability platform. Robusta is commonly used alongside Prometheus, but other tools are supported too. By listening to all the events in your cluster, Robusta can tell you why alerts fired, what happened at the same time, and what you can do about it. Robusta can either improve your existing alerts or be used...
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  • 25
    Kruise

    Kruise

    Automated management of large-scale applications on Kubernetes

    OpenKruise is an extended component suite for Kubernetes, which mainly focuses on automated management of large-scale applications, such as deployment, upgrade, ops, and availability protection. Most features provided by OpenKruise are built primarily based on CRD extensions. They can work in pure Kubernetes clusters without any other dependencies. Kubernetes itself has already provided some features for application deployment and management, such as some basic Workloads. However, it is far...
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