Best Application Development Software for CloudKnit

Find and compare the best Application Development software for CloudKnit in 2025

Use the comparison tool below to compare the top Application Development software for CloudKnit on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Kubernetes Reviews
    Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.
  • 2
    GitHub Reviews
    Top Pick
    GitHub is the most trusted, secure, and scalable developer platform in the world. Join millions of developers and businesses who are creating the software that powers the world. Get the best tools, support and services to help you build with the most innovative communities in the world. There's a free option for managing multiple contributors: GitHub Team Open Source. We also have GitHub Sponsors that help you fund your work. The Pack is back. We have partnered to provide teachers and students free access to the most powerful developer tools for the school year. Work for a government-recognized nonprofit, association, or 501(c)(3)? Receive a discount Organization account through us.
  • 3
    Google Cloud Platform Reviews
    Top Pick

    Google Cloud Platform

    Google

    Free ($300 in free credits)
    25 Ratings
    Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
  • 4
    Helm Reviews

    Helm

    The Linux Foundation

    Free
    Helm is a tool that helps you manage Kubernetes apps. Helm charts can help you create, modify, and upgrade any Kubernetes app. Charts are simple to create, modify, share, publish, and update. Charts can be used to describe complex apps, make it easy to install the application again and act as a single point for authority. With custom hooks and in-place upgrades, you can take the hassle out of updating. Charts can be easily authored, shared, and hosted on public or private servers. You can use helm rollback to easily roll back to an older release. Helm uses a packaging format called charts. A chart is a collection or files that describes a set of Kubernetes resource. One chart can be used to deploy a simple thing like a memcached container or a complex web app stack that includes HTTP servers, databases, caches and more.
  • 5
    YAML Reviews
    YAML: YAML Isn't Markup Language™. YAML is a human-friendly data Serialization Language for all Programming Languages.
  • 6
    Pulumi Reviews
    Modern Infrastructure as Code. Use familiar programming languages and tools to create, deploy, manage, and monitor infrastructure in any cloud. One workflow for many clouds. On any cloud, you can use the same language, tools, or workflow. Collaborate. Harmonize your engineering practices among developers and operators. Easy continuous delivery. You can deploy from the CLI or integrate with your favorite CI/CD software. All changes are reviewed before they are made. Reduce complexity. Get visibility across all your environments. Audit and secure. Know who made changes to what, when and why. With your identity provider of choice, enforce deployment policies. Secrets management. Secure secrets with an easy-to-use encrypted configuration Familiar programming languages. You can define infrastructure in JavaScript or TypeScript, Python, Go or any other.NET language including C#, F# and VB. Use your favorite tools. Use familiar IDEs and test frameworks. Reuse and share. Codify best practices.
  • 7
    Argo Reviews
    Open-source tools for Kubernetes that allow you to manage clusters, run workflows, and do GitOps right. Kubernetes native workflow engine that supports DAG and step-based workflows. Continuous delivery with fully-loaded UI. Advanced Kubernetes deployment strategies like Blue-Green and Canary made easy. Argo Workflows, an open-source container native workflow engine, is used to orchestrate parallel Kubernetes jobs. Argo Workflows can be used as a Kubernetes CDD. Multi-step workflows can be modeled as a sequence of tasks, or you can capture the dependencies between tasks with a graph (DAG). Argo Workflows for Kubernetes make it easy to run complex jobs such as data processing or machine learning in a fraction the time. Kubernetes can run CI/CD pipelines directly without the need to configure complex software development products. Designed from the ground-up for containers without the overhead or limitations of legacy VMs and server-based environments.
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