Alternatives to Joyent Cloud logo

Alternatives to Joyent Cloud

Amazon EC2, Microsoft Azure, DigitalOcean, Google Compute Engine, and Linode are the most popular alternatives and competitors to Joyent Cloud.
22
24
+ 1
18

What is Joyent Cloud and what are its top alternatives?

Joyent is the high-performance cloud infrastructure company, offering the only solution specifically built to power real-time web and mobile applications.
Joyent Cloud is a tool in the Cloud Hosting category of a tech stack.

Joyent Cloud alternatives & related posts

Amazon EC2 logo

Amazon EC2

15.1K
8.8K
2.5K
15.1K
8.8K
+ 1
2.5K
Scalable, pay-as-you-go compute capacity in the cloud
Amazon EC2 logo
Amazon EC2
VS
Joyent Cloud logo
Joyent Cloud

related Amazon EC2 posts

John-Daniel Trask
John-Daniel Trask
Co-founder & CEO at Raygun · | 19 upvotes · 54.5K views
atRaygunRaygun
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
Amazon EC2
Amazon EC2
nginx
nginx
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
#LoadBalancerReverseProxy
#CloudStorage
#WebServers
#CloudHosting

We chose AWS because, at the time, it was really the only cloud provider to choose from.

We tend to use their basic building blocks (EC2, ELB, Amazon S3, Amazon RDS) rather than vendor specific components like databases and queuing. We deliberately decided to do this to ensure we could provide multi-cloud support or potentially move to another cloud provider if the offering was better for our customers.

We’ve utilized c3.large nodes for both the Node.js deployment and then for the .NET Core deployment. Both sit as backends behind an nginx instance and are managed using scaling groups in Amazon EC2 sitting behind a standard AWS Elastic Load Balancing (ELB).

While we’re satisfied with AWS, we do review our decision each year and have looked at Azure and Google Cloud offerings.

#CloudHosting #WebServers #CloudStorage #LoadBalancerReverseProxy

See more
Jake Stein
Jake Stein
CEO at Stitch · | 13 upvotes · 83K views
atStitchStitch
Go
Go
Clojure
Clojure
JavaScript
JavaScript
Python
Python
Kubernetes
Kubernetes
AWS OpsWorks
AWS OpsWorks
Amazon EC2
Amazon EC2
Amazon Redshift
Amazon Redshift
Amazon S3
Amazon S3
Amazon RDS
Amazon RDS

Stitch is run entirely on AWS. All of our transactional databases are run with Amazon RDS, and we rely on Amazon S3 for data persistence in various stages of our pipeline. Our product integrates with Amazon Redshift as a data destination, and we also use Redshift as an internal data warehouse (powered by Stitch, of course).

The majority of our services run on stateless Amazon EC2 instances that are managed by AWS OpsWorks. We recently introduced Kubernetes into our infrastructure to run the scheduled jobs that execute Singer code to extract data from various sources. Although we tend to be wary of shiny new toys, Kubernetes has proven to be a good fit for this problem, and its stability, strong community and helpful tooling have made it easy for us to incorporate into our operations.

While we continue to be happy with Clojure for our internal services, we felt that its relatively narrow adoption could impede Singer's growth. We chose Python both because it is well suited to the task, and it seems to have reached critical mass among data engineers. All that being said, the Singer spec is language agnostic, and integrations and libraries have been developed in JavaScript, Go, and Clojure.

See more

related Microsoft Azure posts

Kestas Barzdaitis
Kestas Barzdaitis
Entrepreneur & Engineer · | 12 upvotes · 44.9K views
atCodeFactorCodeFactor
Google Cloud Functions
Google Cloud Functions
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Docker
Docker
Google Compute Engine
Google Compute Engine
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
CodeFactor.io
CodeFactor.io
Kubernetes
Kubernetes
#SAAS
#IAAS
#Containerization
#Autoscale
#Startup
#Automation
#Machinelearning
#AI
#Devops

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
Omar Mehilba
Omar Mehilba
Co-Founder and COO at Magalix · | 11 upvotes · 41.7K views
atMagalixMagalix
Python
Python
Go
Go
Amazon EC2
Amazon EC2
Google Kubernetes Engine
Google Kubernetes Engine
Microsoft Azure
Microsoft Azure
Kubernetes
Kubernetes
#Autopilot

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
DigitalOcean logo

DigitalOcean

6.5K
3.9K
2.6K
6.5K
3.9K
+ 1
2.6K
Deploy an SSD cloud server in less than 55 seconds with a dedicated IP and root access.
DigitalOcean logo
DigitalOcean
VS
Joyent Cloud logo
Joyent Cloud

related DigitalOcean posts

Rajat Jain
Rajat Jain
Devops Engineer at Aurochssoftware · | 1 upvotes · 2.3K views
Git
Git
Docker
Docker
DigitalOcean
DigitalOcean
Ubuntu
Ubuntu
PyCharm
PyCharm
GitLab
GitLab
Bitbucket
Bitbucket
Amazon S3
Amazon S3
Amazon EC2
Amazon EC2

Building my skill set to become Devops Engineer-Tool chain: Amazon EC2, Amazon S3, Bitbucket, GitLab, PyCharm, Ubuntu, DigitalOcean, Docker, Git

IT engineer with more than 6 months of experience in startups with focus on DevOps, Cloud infrastructure & Testing (QA). I had set up CI process, monitoring and infrastructure on dev/test (lower) environments

See more

related Google Compute Engine posts

Kestas Barzdaitis
Kestas Barzdaitis
Entrepreneur & Engineer · | 12 upvotes · 44.9K views
atCodeFactorCodeFactor
Google Cloud Functions
Google Cloud Functions
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Docker
Docker
Google Compute Engine
Google Compute Engine
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
CodeFactor.io
CodeFactor.io
Kubernetes
Kubernetes
#SAAS
#IAAS
#Containerization
#Autoscale
#Startup
#Automation
#Machinelearning
#AI
#Devops

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
Marcel Kornegoor
Marcel Kornegoor
CTO at AT Computing · | 5 upvotes · 65.8K views
atAT ComputingAT Computing
Python
Python
Chef
Chef
Puppet Labs
Puppet Labs
Ansible
Ansible
Google Compute Engine
Google Compute Engine
Kubernetes
Kubernetes
Docker
Docker
GitHub
GitHub
VirtualBox
VirtualBox
Jenkins
Jenkins
Visual Studio Code
Visual Studio Code
Fedora
Fedora
Red Hat Enterprise Linux
Red Hat Enterprise Linux
Debian
Debian
CentOS
CentOS
Ubuntu
Ubuntu
Linux
Linux
#ATComputing

Since #ATComputing is a vendor independent Linux and open source specialist, we do not have a favorite Linux distribution. We mainly use Ubuntu , Centos Debian , Red Hat Enterprise Linux and Fedora during our daily work. These are also the distributions we see most often used in our customers environments.

For our #ci/cd training, we use an open source pipeline that is build around Visual Studio Code , Jenkins , VirtualBox , GitHub , Docker Kubernetes and Google Compute Engine.

For #ServerConfigurationAndAutomation, we have embraced and contributed to Ansible mainly because it is not only flexible and powerful, but also straightforward and easier to learn than some other (open source) solutions. On the other hand: we are not affraid of Puppet Labs and Chef either.

Currently, our most popular #programming #Language course is Python . The reason Python is so popular has to do with it's versatility, but also with its low complexity. This helps sysadmins to write scripts or simple programs to make their job less repetitive and automating things more fun. Python is also widely used to communicate with (REST) API's and for data analysis.

See more
Google Cloud Platform logo

Google Cloud Platform

213
110
0
213
110
+ 1
0
A suite of cloud computing services
    Be the first to leave a pro
    Google Cloud Platform logo
    Google Cloud Platform
    VS
    Joyent Cloud logo
    Joyent Cloud

    related Google Cloud Platform posts

    Jorge Cortell
    Jorge Cortell
    Founder & CEO at Kanteron Systems · | 1 upvotes · 2.5K views
    atKanteron SystemsKanteron Systems
    Amazon S3
    Amazon S3
    Microsoft Azure
    Microsoft Azure
    Google Cloud Platform
    Google Cloud Platform

    We use Google Cloud Platform, Microsoft Azure and Amazon S3 (amongst others) because our platform needs to be cloud-independent to give customers the freedom they need and deserve. But being in the healthcare enterprise space, we believe Azure is the top choice... today (it tends to change often).

    See more
    Vultr logo

    Vultr

    54
    37
    0
    54
    37
    + 1
    0
    Deploy Cloud Servers, Bare Metal, and Storage worldwide
    Vultr logo
    Vultr
    VS
    Joyent Cloud logo
    Joyent Cloud

    related Vultr posts

    Paul Whittemore
    Paul Whittemore
    Developer and Owner at Appurist Software · | 4 upvotes · 11K views
    Windows Server
    Windows Server
    Windows
    Windows
    Amazon LightSail
    Amazon LightSail
    Vultr
    Vultr

    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
    Amazon LightSail logo

    Amazon LightSail

    41
    50
    5
    41
    50
    + 1
    5
    Simple Virtual Private Servers on AWS
    Amazon LightSail logo
    Amazon LightSail
    VS
    Joyent Cloud logo
    Joyent Cloud

    related Amazon LightSail posts

    Paul Whittemore
    Paul Whittemore
    Developer and Owner at Appurist Software · | 4 upvotes · 11K views
    Windows Server
    Windows Server
    Windows
    Windows
    Amazon LightSail
    Amazon LightSail
    Vultr
    Vultr

    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
    Packet logo

    Packet

    27
    28
    8
    27
    28
    + 1
    8
    The Leading Bare Metal Cloud for Developers
    Packet logo
    Packet
    VS
    Joyent Cloud logo
    Joyent Cloud
    fortrabbit logo

    fortrabbit

    14
    15
    0
    14
    15
    + 1
    0
    PHP hosting done right
      Be the first to leave a pro
      fortrabbit logo
      fortrabbit
      VS
      Joyent Cloud logo
      Joyent Cloud
      RamNode logo

      RamNode

      12
      16
      9
      12
      16
      + 1
      9
      High Performance SSD and SSD-Cached VPSs
      RamNode logo
      RamNode
      VS
      Joyent Cloud logo
      Joyent Cloud
      HP Cloud Compute logo

      HP Cloud Compute

      9
      12
      0
      9
      12
      + 1
      0
      Deploy Scalable Virtual Servers on Demand
        Be the first to leave a pro
        HP Cloud Compute logo
        HP Cloud Compute
        VS
        Joyent Cloud logo
        Joyent Cloud
        Cloudways  logo

        Cloudways

        8
        4
        0
        8
        4
        + 1
        0
        A Managed Cloud Hosting Platform
          Be the first to leave a pro
          Cloudways  logo
          Cloudways
          VS
          Joyent Cloud logo
          Joyent Cloud
          Media Temple logo

          Media Temple

          6
          3
          0
          6
          3
          + 1
          0
          A website hosting and cloud hosting provider
            Be the first to leave a pro
            Media Temple logo
            Media Temple
            VS
            Joyent Cloud logo
            Joyent Cloud
            SiteGround logo

            SiteGround

            5
            3
            0
            5
            3
            + 1
            0
            A shared hosting provider that offers its users multiple different hosting options
              Be the first to leave a pro
              SiteGround logo
              SiteGround
              VS
              Joyent Cloud logo
              Joyent Cloud