Alternatives to OpenNebula logo

Alternatives to OpenNebula

OpenStack, Kubernetes, Eucalyptus, MongoDB Cloud Manager, and Apache CloudStack are the most popular alternatives and competitors to OpenNebula.
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What is OpenNebula and what are its top alternatives?

It provides a simple but feature-rich and flexible solution for the comprehensive management of virtualized data centers to enable on-premise enterprise clouds in existing infrastructures. It can be primarily used as a virtualization tool to manage your virtual infrastructure in the data-center or cluster, which is usually referred as Private Cloud. It supports Hybrid Cloud to combine local infrastructure with public cloud-based infrastructure, enabling highly scalable hosting environments.
OpenNebula is a tool in the Open Source Cloud category of a tech stack.
OpenNebula is an open source tool with 811 GitHub stars and 382 GitHub forks. Here’s a link to OpenNebula's open source repository on GitHub

Top Alternatives to OpenNebula

  • OpenStack

    OpenStack

    OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface. ...

  • Kubernetes

    Kubernetes

    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. ...

  • Eucalyptus

    Eucalyptus

    Eucalyptus is open source software for building private, AWS-compatible IT, QA, and developer clouds. It makes it easy to deliver cloud computing, just like AWS, from within your data center. ...

  • MongoDB Cloud Manager

    MongoDB Cloud Manager

    It is a hosted platform for managing MongoDB on the infrastructure of your choice. It saves you time, money, and helps you protect your customer experience by eliminating the guesswork from running MongoDB. ...

  • Apache CloudStack

    Apache CloudStack

    It is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform. ...

  • Morpheus

    Morpheus

    Morpheus is a cloud application management and orchestration platform that works on any cloud or infrastructure, from AWS to bare metal. Enjoy complete cloud freedom with Morpheus. ...

  • Scalr

    Scalr

    Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features. ...

  • RightScale

    RightScale

    Automation is the core of RightScale, freeing you to run efficient, scalable, and highly-available applications. Our multi-cloud integration enables you to choose your own clouds, providing freedom to work with any vendor in a rapidly changing market. And rest assured knowing that you have visibility and control over all of your resources in one place. To take advantage of best practices, we encourage you to tap into cloud expertise provided by our service, support, and partner networks when building and managing your infrastructure. ...

OpenNebula alternatives & related posts

OpenStack logo

OpenStack

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904
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Open source software for building private and public clouds
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PROS OF OPENSTACK
  • 45
    Private cloud
  • 35
    Avoid vendor lock-in
  • 19
    Flexible in use
  • 5
    Industry leader
  • 3
    Supported by many companies in top500
  • 2
    Robust architecture
CONS OF OPENSTACK
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    related OpenStack posts

    Kubernetes logo

    Kubernetes

    37.3K
    31.5K
    622
    Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops
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    PROS OF KUBERNETES
    • 155
      Leading docker container management solution
    • 124
      Simple and powerful
    • 100
      Open source
    • 74
      Backed by google
    • 56
      The right abstractions
    • 24
      Scale services
    • 18
      Replication controller
    • 9
      Permission managment
    • 7
      Simple
    • 7
      Supports autoscaling
    • 6
      Cheap
    • 4
      Self-healing
    • 4
      Reliable
    • 4
      No cloud platform lock-in
    • 3
      Open, powerful, stable
    • 3
      Scalable
    • 3
      Quick cloud setup
    • 3
      Promotes modern/good infrascture practice
    • 2
      Backed by Red Hat
    • 2
      Runs on azure
    • 2
      Cloud Agnostic
    • 2
      Custom and extensibility
    • 2
      Captain of Container Ship
    • 2
      A self healing environment with rich metadata
    • 1
      Golang
    • 1
      Easy setup
    • 1
      Everything of CaaS
    • 1
      Sfg
    • 1
      Expandable
    • 1
      Gke
    CONS OF KUBERNETES
    • 13
      Poor workflow for development
    • 11
      Steep learning curve
    • 5
      Orchestrates only infrastructure
    • 2
      High resource requirements for on-prem clusters

    related Kubernetes posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 38 upvotes · 4.1M views

    How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

    Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

    Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

    https://eng.uber.com/distributed-tracing/

    (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

    Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

    See more
    Yshay Yaacobi

    Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

    Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

    After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

    See more
    Eucalyptus logo

    Eucalyptus

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    63
    0
    Open source AWS compatible private cloud
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    PROS OF EUCALYPTUS
      Be the first to leave a pro
      CONS OF EUCALYPTUS
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        related Eucalyptus posts

        MongoDB Cloud Manager logo

        MongoDB Cloud Manager

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        A hosted platform for managing MongoDB
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        PROS OF MONGODB CLOUD MANAGER
          Be the first to leave a pro
          CONS OF MONGODB CLOUD MANAGER
            Be the first to leave a con

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            Apache CloudStack logo

            Apache CloudStack

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            195
            83
            An open source resource for implementing cloud services
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            195
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            PROS OF APACHE CLOUDSTACK
            • 13
              Apache CloudStack works
            • 11
              Multi hypervisor
            • 9
              Real open source software
            • 9
              Easy setup
            • 9
              Open architecture
            • 8
              Hybrid Cloud integration
            • 7
              Community support
            • 6
              Secure
            • 6
              Simple
            • 4
              Scalable
            • 1
              Easy to use API
            CONS OF APACHE CLOUDSTACK
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              related Apache CloudStack posts

              Morpheus logo

              Morpheus

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              18
              Orchestrate, Automate, and Manage Across Any Cloud
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              PROS OF MORPHEUS
              • 2
                Easy to deploy and use
              • 1
                Hybrid Cloud Management
              • 1
                Life cycle management
              • 1
                App provisioning
              • 1
                UI, API and CLI
              • 1
                Governance
              • 1
                SDN - ACI, NSX, Neutron
              • 1
                Config Management-Chef,Puppet,Salt,Ansible,AnsibleTower
              • 1
                Reporting
              • 1
                Analytics
              • 1
                Scheduling
              • 1
                Tagging, Env variables, cypher
              • 1
                Automation - Tasks and Workflows
              • 1
                Image builder
              • 1
                Infrastrcuture as Code
              • 1
                Platform as a Service
              • 1
                Infrastructure as Code, Platform as a Service
              CONS OF MORPHEUS
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                related Morpheus posts

                Scalr logo

                Scalr

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                25
                Scalr is a remote state & operations backend for Terraform with access controls and policy as code
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                PROS OF SCALR
                • 5
                  Image Builder
                • 3
                  Auto Scaling
                • 2
                  Orchestration
                • 2
                  Open Source
                • 2
                  Multi-Cloud Support
                • 2
                  Cost Analytics
                • 2
                  Chef Integration
                • 2
                  Hybrid Cloud Management
                • 2
                  User Friendly
                • 1
                  Terraform CLI Integration
                • 1
                  Open Policy Agent
                • 1
                  Cost
                CONS OF SCALR
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                  related Scalr posts

                  RightScale logo

                  RightScale

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                  Manage all of your cloud infrastructure with a single, integrated solution.
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                  PROS OF RIGHTSCALE
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                    CONS OF RIGHTSCALE
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