Alternatives to Google Anthos logo

Alternatives to Google Anthos

Cloud Foundry, Azure Stack, AWS Outposts, Kubernetes, and Rancher are the most popular alternatives and competitors to Google Anthos.
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What is Google Anthos and what are its top alternatives?

Formerly Cloud Services Platform, Anthos lets you build and manage modern hybrid applications across environments. Powered by Kubernetes and other industry-leading open-source technologies from Google.
Google Anthos is a tool in the Hybrid Cloud as a Service category of a tech stack.

Top Alternatives to Google Anthos

  • Cloud Foundry
    Cloud Foundry

    Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. ...

  • Azure Stack
    Azure Stack

    The Azure Stack is a portfolio of products that extend Azure services and capabilities to your environment of choice—from the datacenter to edge locations and remote offices. The portfolio enables hybrid and edge computing applications to be built, deployed, and run consistently across location boundaries, providing choice and flexibility to address your diverse workloads. ...

  • AWS Outposts
    AWS Outposts

    It is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, or local data storage. ...

  • 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. ...

  • Rancher
    Rancher

    Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform. ...

  • Platform9 Managed OpenStack
    Platform9 Managed OpenStack

    It lets you go live with your OpenStack private cloud within minutes using our deployment tools. With a few simple clicks, your Platform9 dashboard starts offering visibility into your infrastructure across compute, storage, network, and existing workloads — and your OpenStack cloud is live. ...

  • Dimensigon
    Dimensigon

    It is an online service to deploy production-ready ELASTIC environments with the comfort of an online shop. Targeted for DB Developers and Large companies to embed our automation for provisioning, 'DM' is the underlying self-develop technology for distributed managed to coordinate complex orchestrations. ...

Google Anthos alternatives & related posts

Cloud Foundry logo

Cloud Foundry

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Deploy and scale applications in seconds on your choice of private or public cloud
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PROS OF CLOUD FOUNDRY
  • 2
    Perfectly aligned with springboot
  • 1
    Free distributed tracing (zipkin)
  • 1
    Application health management
  • 1
    Free service discovery (Eureka)
CONS OF CLOUD FOUNDRY
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    Azure Stack logo

    Azure Stack

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    An extension of Azure to consistently build and run hybrid applications across datacenters, edge locations, remote offices, and...
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    PROS OF AZURE STACK
    • 1
      Scaleability
    • 1
      Easy integration
    CONS OF AZURE STACK
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      AWS Outposts logo

      AWS Outposts

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      Run AWS infrastructure and services on premises for a truly consistent hybrid experience
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      PROS OF AWS OUTPOSTS
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        CONS OF AWS OUTPOSTS
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          Kubernetes logo

          Kubernetes

          44.5K
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          Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops
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          PROS OF KUBERNETES
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            Leading docker container management solution
          • 126
            Simple and powerful
          • 102
            Open source
          • 75
            Backed by google
          • 56
            The right abstractions
          • 24
            Scale services
          • 19
            Replication controller
          • 9
            Permission managment
          • 7
            Simple
          • 7
            Supports autoscaling
          • 6
            Cheap
          • 4
            Self-healing
          • 4
            No cloud platform lock-in
          • 4
            Reliable
          • 3
            Open, powerful, stable
          • 3
            Scalable
          • 3
            Quick cloud setup
          • 3
            Promotes modern/good infrascture practice
          • 2
            Backed by Red Hat
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            Cloud Agnostic
          • 2
            Runs on azure
          • 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
          • 15
            Poor workflow for development
          • 13
            Steep learning curve
          • 7
            Orchestrates only infrastructure
          • 4
            High resource requirements for on-prem clusters
          • 1
            Additional vendor lock-in (Docker)
          • 1
            Additional Technology Overhead
          • 1
            More moving parts to secure
          • 1
            Too heavy for simple systems

          related Kubernetes posts

          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 40 upvotes · 4.9M 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
          Rancher logo

          Rancher

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          Open Source Platform for Running a Private Container Service
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          PROS OF RANCHER
          • 103
            Easy to use
          • 79
            Open source and totally free
          • 63
            Multi-host docker-compose support
          • 58
            Load balancing and health check included
          • 58
            Simple
          • 44
            Rolling upgrades, green/blue upgrades feature
          • 42
            Dns and service discovery out-of-the-box
          • 37
            Only requires docker
          • 34
            Multitenant and permission management
          • 29
            Easy to use and feature rich
          • 11
            Cross cloud compatible
          • 11
            Does everything needed for a docker infrastructure
          • 8
            Simple and powerful
          • 8
            Next-gen platform
          • 7
            Very Docker-friendly
          • 6
            Support Kubernetes and Swarm
          • 6
            Application catalogs with stack templates (wizards)
          • 6
            Supports Apache Mesos, Docker Swarm, and Kubernetes
          • 6
            Rolling and blue/green upgrades deployments
          • 6
            High Availability service: keeps your app up 24/7
          • 5
            Easy to use service catalog
          • 4
            Very intuitive UI
          • 4
            IaaS-vendor independent, supports hybrid/multi-cloud
          • 4
            Awesome support
          • 3
            Scalable
          • 2
            Requires less infrastructure requirements
          CONS OF RANCHER
          • 10
            Hosting Rancher can be complicated

          related Rancher posts

          Platform9 Managed OpenStack logo

          Platform9 Managed OpenStack

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          Deploy and operate OpenStack Hybrid Cloud with a 100% SaaS based service
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          PROS OF PLATFORM9 MANAGED OPENSTACK
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              Dimensigon logo

              Dimensigon

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              Online service to deploy production-ready ELASTIC environments
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              PROS OF DIMENSIGON
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                CONS OF DIMENSIGON
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