Alternatives to RamNode logo

Alternatives to RamNode

Vultr, Linode, DigitalOcean, OVH, and OpenVZ are the most popular alternatives and competitors to RamNode.
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What is RamNode and what are its top alternatives?

High performance hosting on a simplified OpenStack platform.
RamNode is a tool in the Cloud Hosting category of a tech stack.

Top Alternatives to RamNode

  • Vultr

    Vultr

    Strategically located in 16 datacenters around the globe and provides frictionless provisioning of public cloud, storage and single-tenant bare metal. ...

  • Linode

    Linode

    Get a server running in minutes with your choice of Linux distro, resources, and node location. ...

  • DigitalOcean

    DigitalOcean

    We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel. ...

  • OVH

    OVH

    OVHcloud is a global cloud provider that specialises in delivering industry-leading performance and cost-effective solutions to better manage, secure, and scale data. The group manages 30 data centres across 12 sites in 4 continents, man ...

  • OpenVZ

    OpenVZ

    Virtuozzo leverages OpenVZ as its core of a virtualization solution offered by Virtuozzo company. Virtuozzo is optimized for hosters and offers hypervisor (VMs in addition to containers), distributed cloud storage, dedicated support, management tools, and easy installation. ...

  • UpCloud

    UpCloud

    It was formed by a group of like-minded thinkers who saw a clear opportunity to defy mediocrity: to become a cloud infrastructure company that would outperform every existing company on the market. ...

  • Amazon EC2

    Amazon EC2

    It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. ...

  • Microsoft Azure

    Microsoft Azure

    Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment. ...

RamNode alternatives & related posts

Vultr logo

Vultr

150
127
7
Deploy Cloud Servers, Bare Metal, and Storage worldwide
150
127
+ 1
7
PROS OF VULTR
  • 3
    <a href="https://hostandprotect.com/">secure</a>
  • 2
    Affordable
  • 2
    Cloud Based
CONS OF VULTR
    Be the first to leave a con

    related Vultr posts

    Paul Whittemore
    Developer and Owner at Appurist Software · | 4 upvotes · 137K views

    For those needing hosting on Windows or Windows Server too (and avoiding licensing hurdles), both Vultr and Amazon LightSail offer compelling choices, depending on how much compute power you need. Don't underestimate Amazon LightSail, especially for smaller or starting projects, but Vultr also offers an incremental $16 Windows option on top of their standard compute offerings.

    See more
    Linode logo

    Linode

    650
    568
    424
    Deploy and Manage Linux Virtual Servers in the Linode Cloud.
    650
    568
    + 1
    424
    PROS OF LINODE
    • 102
      Extremely reliable
    • 71
      Good value
    • 59
      Easy to configure
    • 59
      Great customer support
    • 36
      Great documentation
    • 24
      Servers across the world
    • 18
      Managed/hosted DNS service
    • 15
      Simple ui
    • 11
      Network and CPU usage graphs
    • 7
      IPv6 support
    • 6
      Multiple IP address support
    • 3
      Ssh access
    • 3
      Good price, good cusomter sevice
    • 2
      IP address fail over support
    • 2
      SSH root access
    • 1
      Great performance compared to EC2 or DO
    • 1
      Best customizable VPS
    • 1
      Latest kernels
    • 1
      Cheapest
    • 1
      Ssds
    • 1
      It runs apps with speed
    CONS OF LINODE
    • 2
      No "floating IP" support

    related Linode posts

    Kumar Gaurav
    DevOps Engineer at CoRover Private Limited · | 2 upvotes · 18K views
    Shared insights
    on
    Microsoft AzureMicrosoft AzureLinodeLinode

    What is the data transfer out cost (Bandwidth cost) on Linode compared to Microsoft Azure?

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    DigitalOcean logo

    DigitalOcean

    14.3K
    10.2K
    2.6K
    Deploy an SSD cloud server in less than 55 seconds with a dedicated IP and root access.
    14.3K
    10.2K
    + 1
    2.6K
    PROS OF DIGITALOCEAN
    • 559
      Great value for money
    • 364
      Simple dashboard
    • 361
      Good pricing
    • 300
      Ssds
    • 249
      Nice ui
    • 192
      Easy configuration
    • 155
      Great documentation
    • 138
      Ssh access
    • 135
      Great community
    • 24
      Ubuntu
    • 13
      Docker
    • 12
      IPv6 support
    • 10
      Private networking
    • 8
      99.99% uptime SLA
    • 7
      Simple API
    • 7
      Great tutorials
    • 6
      55 Second Provisioning
    • 5
      One Click Applications
    • 4
      Dokku
    • 4
      Node.js
    • 4
      Debian
    • 4
      CoreOS
    • 4
      LAMP
    • 3
      LEMP
    • 3
      Ghost
    • 3
      Simple Control Panel
    • 3
      Word Press
    • 3
      1Gb/sec Servers
    • 2
      Quick and no nonsense service
    • 2
      Speed
    • 2
      Mean
    • 2
      Hex Core machines with dedicated ECC Ram and RAID SSD s
    • 2
      Django
    • 2
      Runs CoreOS
    • 2
      Good Tutorials
    • 2
      GitLab
    • 2
      Ruby on Rails
    • 1
      CentOS
    • 1
      Spaces
    • 1
      KVM Virtualization
    • 1
      Amazing Hardware
    • 1
      Transfer Globally
    • 1
      Fedora
    • 1
      FreeBSD
    • 1
      Drupal
    • 1
      FreeBSD Amp
    • 1
      Magento
    • 1
      ownCloud
    • 1
      RedMine
    • 1
      My go to server provider
    • 1
      Ease and simplicity
    • 1
      Nice
    • 1
      Find it superfitting with my requirements (SSD, ssh.
    • 1
      Easy Setup
    • 1
      Cheap
    • 1
      Static IP
    • 1
      It's the easiest to get started for small projects
    • 1
      Automatic Backup
    • 1
      Great support
    • 1
      Quick and easy to set up
    • 1
      Servers on demand - literally
    • 1
      Reliability
    • 0
      Variety of services
    • 0
      Managed Kubernetes
    CONS OF DIGITALOCEAN
    • 3
      Pricing
    • 3
      No live support chat

    related DigitalOcean posts

    Hello, I'm currently writing an e-commerce website with Laravel and Laravel Nova (as an admin panel). I want to start deploying the app and created a DigitalOcean account. After some searches about the deployment process, I saw that the setup via DigitalOcean (using Droplets) isn't very easy for beginners. Now I'm not sure how to deploy my app. I am in between Laravel Forge and DigitalOcean (?Apps Platform or Droplets?). I've read that Heroku and Laravel Vapor are a bit expensive. That's why I didn't consider them yet. I'd be happy to read your opinions on that topic!

    See more

    Hi, I'm a beginner at using MySQL, I currently deployed my crud app on Heroku using the ClearDB add-on. I didn't see that coming, but the increased value of the primary key instead of being 1 is set to 10, and I cannot find a way to change it. Now I`m considering switching and deploying the full app and MySql to DigitalOcean any advice on that? Will I get the same issue? Thanks in advance!

    See more
    OVH logo

    OVH

    296
    259
    180
    Dedicated infrastructure for your business
    296
    259
    + 1
    180
    PROS OF OVH
    • 56
      Cost effective
    • 33
      Dedicated Hardware
    • 28
      DDoS Protection
    • 27
      Unmetered Bandwidth
    • 9
      Fun
    • 6
      SSH root access
    • 4
      ceph
    • 4
      Fast delivery
    • 4
      Low cost
    • 4
      Openstack
    • 4
      Own network
    • 1
      Ip address fail over support
    • 0
      Cons of OVH
    CONS OF OVH
    • 1
      Incidents

    related OVH posts

    Joshua Dean Küpper
    CEO at Scrayos UG (haftungsbeschränkt) · | 6 upvotes · 84.5K views

    We use Hetzner Online AG since the inception of our business, because of the great prices, marvelous support and great interface (especially the new cloud interface). Other options that we tested are DigitalOcean (was more expensive than the new hetzner cloud and didn't offer "huge" dedicated servers), @Vultr (about the same issue as with DigitalOcean , although the prices were better), OVH (Prices, old interface, no "tiny" packages and [at least back at the day] only monthly payment) and Living Bots (Only dedicated servers, too expensive for our needs).

    Hetzner offered the best spectrum of servers and has great prices and REALLY great prices in the server auctions.

    See more
    Adrien Rey-Jarthon

    Hosting updown.io started with a single OVH server and quickly grew to more server, first it was DigitalOcean VMs and we were very satisfied about them. But we then noticed some shortcomings about #IPv6 networking, although DigitalOcean supports it they don't provide the standard IP range to each VM (by choice) and thus have to block port 25 to avoid other machines being blocked in case of spammer. This is not good for us it means we can't monitor IPv6 SMTP servers properly, that's why we switched to @Vultr (one of their main competitors) which provides similar prices, more locations, and true IPv6 support with no blocked ports. Of course they offer less tools and the support is probably better at DigitalOcean but so far we're happy with @Vultr.

    We still use some @OVH servers (which offers tremendous price/performance ratio) for the main web and database server + 2 of the daemons. In addition to this, we also have 2 DigitalOcean VMs for the secondary web and database server and for the automatic TLS termination proxy used to automatically issue Let's Encrypt certs for status page custom domains (for these servers the IPv6 port block is not an issue)

    See more
    OpenVZ logo

    OpenVZ

    11
    30
    0
    Open source container-based virtualization for Linux
    11
    30
    + 1
    0
    PROS OF OPENVZ
      Be the first to leave a pro
      CONS OF OPENVZ
        Be the first to leave a con

        related OpenVZ posts

        UpCloud logo

        UpCloud

        17
        41
        0
        A control panel and API lets you spend more time coding and less time managing your cloud infrastructure
        17
        41
        + 1
        0
        PROS OF UPCLOUD
          Be the first to leave a pro
          CONS OF UPCLOUD
            Be the first to leave a con

            related UpCloud posts

            Amazon EC2 logo

            Amazon EC2

            39.7K
            28.3K
            2.5K
            Scalable, pay-as-you-go compute capacity in the cloud
            39.7K
            28.3K
            + 1
            2.5K
            PROS OF AMAZON EC2
            • 644
              Quick and reliable cloud servers
            • 515
              Scalability
            • 391
              Easy management
            • 276
              Low cost
            • 269
              Auto-scaling
            • 88
              Market leader
            • 80
              Backed by amazon
            • 78
              Reliable
            • 66
              Free tier
            • 57
              Easy management, scalability
            • 12
              Flexible
            • 10
              Easy to Start
            • 9
              Web-scale
            • 8
              Widely used
            • 8
              Elastic
            • 7
              Node.js API
            • 4
              Industry Standard
            • 3
              Lots of configuration options
            • 2
              GPU instances
            • 1
              Amazing for individuals
            • 1
              Extremely simple to use
            • 1
              All the Open Source CLI tools you could want.
            • 1
              Simpler to understand and learn
            CONS OF AMAZON EC2
            • 13
              Ui could use a lot of work
            • 6
              High learning curve when compared to PaaS
            • 3
              Extremely poor CPU performance

            related Amazon EC2 posts

            Ashish Singh
            Tech Lead, Big Data Platform at Pinterest · | 36 upvotes · 919.7K views

            To provide employees with the critical need of interactive querying, we’ve worked with Presto, an open-source distributed SQL query engine, over the years. Operating Presto at Pinterest’s scale has involved resolving quite a few challenges like, supporting deeply nested and huge thrift schemas, slow/ bad worker detection and remediation, auto-scaling cluster, graceful cluster shutdown and impersonation support for ldap authenticator.

            Our infrastructure is built on top of Amazon EC2 and we leverage Amazon S3 for storing our data. This separates compute and storage layers, and allows multiple compute clusters to share the S3 data.

            We have hundreds of petabytes of data and tens of thousands of Apache Hive tables. Our Presto clusters are comprised of a fleet of 450 r4.8xl EC2 instances. Presto clusters together have over 100 TBs of memory and 14K vcpu cores. Within Pinterest, we have close to more than 1,000 monthly active users (out of total 1,600+ Pinterest employees) using Presto, who run about 400K queries on these clusters per month.

            Each query submitted to Presto cluster is logged to a Kafka topic via Singer. Singer is a logging agent built at Pinterest and we talked about it in a previous post. Each query is logged when it is submitted and when it finishes. When a Presto cluster crashes, we will have query submitted events without corresponding query finished events. These events enable us to capture the effect of cluster crashes over time.

            Each Presto cluster at Pinterest has workers on a mix of dedicated AWS EC2 instances and Kubernetes pods. Kubernetes platform provides us with the capability to add and remove workers from a Presto cluster very quickly. The best-case latency on bringing up a new worker on Kubernetes is less than a minute. However, when the Kubernetes cluster itself is out of resources and needs to scale up, it can take up to ten minutes. Some other advantages of deploying on Kubernetes platform is that our Presto deployment becomes agnostic of cloud vendor, instance types, OS, etc.

            #BigData #AWS #DataScience #DataEngineering

            See more
            Simon Reymann
            Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3.5M views

            Our whole DevOps stack consists of the following tools:

            • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
            • Respectively Git as revision control system
            • SourceTree as Git GUI
            • Visual Studio Code as IDE
            • CircleCI for continuous integration (automatize development process)
            • Prettier / TSLint / ESLint as code linter
            • SonarQube as quality gate
            • Docker as container management (incl. Docker Compose for multi-container application management)
            • VirtualBox for operating system simulation tests
            • Kubernetes as cluster management for docker containers
            • Heroku for deploying in test environments
            • nginx as web server (preferably used as facade server in production environment)
            • SSLMate (using OpenSSL) for certificate management
            • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
            • PostgreSQL as preferred database system
            • Redis as preferred in-memory database/store (great for caching)

            The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

            • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
            • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
            • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
            • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
            • Scalability: All-in-one framework for distributed systems.
            • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
            See more
            Microsoft Azure logo

            Microsoft Azure

            17.9K
            11.6K
            751
            Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios.
            17.9K
            11.6K
            + 1
            751
            PROS OF MICROSOFT AZURE
            • 112
              Scales well and quite easy
            • 94
              Can use .Net or open source tools
            • 80
              Startup friendly
            • 72
              Startup plans via BizSpark
            • 61
              High performance
            • 37
              Wide choice of services
            • 32
              Low cost
            • 31
              Lots of integrations
            • 30
              Reliability
            • 18
              Twillio & Github are directly accessible
            • 12
              RESTful API
            • 9
              Startup support
            • 9
              PaaS
            • 9
              Enterprise Grade
            • 7
              In person support
            • 7
              DocumentDB
            • 6
              Virtual Machines
            • 6
              Free for students
            • 6
              Service Bus
            • 5
              Redis Cache
            • 5
              It rocks
            • 4
              Storage, Backup, and Recovery
            • 4
              SQL Databases
            • 4
              Infrastructure Services
            • 4
              CDN
            • 3
              Integration
            • 3
              Scheduler
            • 3
              HDInsight
            • 3
              Preview Portal
            • 3
              Built on Node.js
            • 3
              Big Data
            • 3
              BizSpark 60k Azure Benefit
            • 3
              IaaS
            • 2
              Site Recovery
            • 2
              Web
            • 2
              SaaS
            • 2
              Big Compute
            • 2
              Mobile
            • 2
              Media
            • 2
              Dev-Test
            • 2
              Storage
            • 2
              StorSimple
            • 2
              Machine Learning
            • 2
              Stream Analytics
            • 2
              Data Factory
            • 2
              Event Hubs
            • 2
              Virtual Network
            • 2
              ExpressRoute
            • 2
              Traffic Manager
            • 2
              Media Services
            • 2
              BizTalk Services
            • 2
              Backup
            • 2
              Active Directory
            • 2
              Multi-Factor Authentication
            • 2
              Visual Studio Online
            • 2
              Application Insights
            • 2
              Automation
            • 2
              Operational Insights
            • 2
              Key Vault
            • 2
              Infrastructure near your customers
            • 2
              Easy Deployment
            • 1
              Enterprise customer preferences
            • 1
              Best cloud platfrom
            • 1
              Security
            • 1
              Documentation
            • 1
              Easy and fast to start with
            • 1
              Remote Debugging
            • 1
              Open cloud
            CONS OF MICROSOFT AZURE
            • 6
              Confusing UI
            • 2
              Expensive plesk on Azure

            related Microsoft Azure posts

            Omar Mehilba
            Co-Founder and COO at Magalix · | 19 upvotes · 262.6K views

            We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

            See more
            Kestas Barzdaitis
            Entrepreneur & Engineer · | 16 upvotes · 464K views

            CodeFactor being a #SAAS product, our goal was to run on a cloud-native infrastructure since day one. We wanted to stay product focused, rather than having to work on the infrastructure that supports the application. We needed a cloud-hosting provider that would be reliable, economical and most efficient for our product.

            CodeFactor.io aims to provide an automated and frictionless code review service for software developers. That requires agility, instant provisioning, autoscaling, security, availability and compliance management features. We looked at the top three #IAAS providers that take up the majority of market share: Amazon's Amazon EC2 , Microsoft's Microsoft Azure, and Google Compute Engine.

            AWS has been available since 2006 and has developed the most extensive services ant tools variety at a massive scale. Azure and GCP are about half the AWS age, but also satisfied our technical requirements.

            It is worth noting that even though all three providers support Docker containerization services, GCP has the most robust offering due to their investments in Kubernetes. Also, if you are a Microsoft shop, and develop in .NET - Visual Studio Azure shines at integration there and all your existing .NET code works seamlessly on Azure. All three providers have serverless computing offerings (AWS Lambda, Azure Functions, and Google Cloud Functions). Additionally, all three providers have machine learning tools, but GCP appears to be the most developer-friendly, intuitive and complete when it comes to #Machinelearning and #AI.

            The prices between providers are competitive across the board. For our requirements, AWS would have been the most expensive, GCP the least expensive and Azure was in the middle. Plus, if you #Autoscale frequently with large deltas, note that Azure and GCP have per minute billing, where AWS bills you per hour. We also applied for the #Startup programs with all three providers, and this is where Azure shined. While AWS and GCP for startups would have covered us for about one year of infrastructure costs, Azure Sponsorship would cover about two years of CodeFactor's hosting costs. Moreover, Azure Team was terrific - I felt that they wanted to work with us where for AWS and GCP we were just another startup.

            In summary, we were leaning towards GCP. GCP's advantages in containerization, automation toolset, #Devops mindset, and pricing were the driving factors there. Nevertheless, we could not say no to Azure's financial incentives and a strong sense of partnership and support throughout the process.

            Bottom line is, IAAS offerings with AWS, Azure, and GCP are evolving fast. At CodeFactor, we aim to be platform agnostic where it is practical and retain the flexibility to cherry-pick the best products across providers.

            See more