Software Alternatives & Reviews

kaniko

Build container images in Kubernetes

kaniko Alternatives

The best kaniko alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. /makisu-alternatives

    DevOps, Build, Test, Deploy, and Container Tools

  2. /docker-alternatives

    Docker is an open platform that enables developers and system administrators to create distributed applications.

    Open Source

  3. Visit website

    Effortlessly create stunning PDFs and screenshots. Seamlessly store them in your own AWS or Google Cloud Storage bucket, putting the control and creativity right at your fingertips.

    Visit website freemium €4.99 / Monthly

  4. /portainer-alternatives

    Simple management UI for Docker

    Open Source

  5. /jenkins-alternatives

    Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

    Open Source

  6. /k3s-alternatives

    K3s is a lightweight Kubernetes distribution by Rancher Labs intended for IoT, Edge, and cloud deployments.

    Open Source

  7. /ansible-alternatives

    Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine

    Open Source

  8. /helm-sh-alternatives

    The Kubernetes Package Manager

    Open Source

  9. /mindmeister-alternatives

    Create, share and collaboratively work on mind maps with MindMeister, the leading online mind mapping software. Includes apps for iPhone, iPad and Android.

  10. /openshift-container-platform-alternatives

    Red Hat OpenShift Container Platform is the secure and comprehensive enterprise-grade container platform based on industry standards, Docker and Kubernetes.

  11. /google-kubernetes-engine-alternatives

    Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

  12. /apache-mesos-alternatives

    Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

    Open Source

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