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AppHarbor vs Microsoft Azure: What are the differences?

Developers describe AppHarbor as "Instantly deploy and scale .NET applications". AppHarbor is a fully hosted .NET Platform as a Service. AppHarbor can deploy and scale any standard .NET application to the cloud. On the other hand, Microsoft Azure is detailed as "Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios". 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.

AppHarbor and Microsoft Azure are primarily classified as "Platform as a Service" and "Cloud Hosting" tools respectively.

Some of the features offered by AppHarbor are:

  • You push .NET and Windows code to AppHarbor using Git, Mercurial, Subversion or Team Foundation Server with the complimentary Git service or through integrations offered in collaboration with Bitbucket, CodePlex and GitHub.
  • When AppHarbor receives your code it will be built by a build server. If the code compiles all unit tests contained in the compiled assemblies will be run. The result and progress of the build and unit test status can be monitored on the application dashboard. AppHarbor will call any service hooks that you add to notify you of the build result.
  • If everything checks out the application is deployed and configured on AppHarbor application servers. AppHarbor can scale an application vertically and horizontally within seconds for better request throughout, performance and failover. AppHarbor balance load across all instances running that application. Scaling an application gives higher request thoughput, redundancy in case of instance failure and better performance.

On the other hand, Microsoft Azure provides the following key features:

  • Use your OS, language, database, tool
  • Global datacenter footprint
  • Enterprise Grade with up to a 99.95% monthly SLA

"Has a totally free account option" is the primary reason why developers consider AppHarbor over the competitors, whereas "Scales well and quite easy" was stated as the key factor in picking Microsoft Azure.

- No public GitHub repository available -
- No public GitHub repository available -

What is AppHarbor?

AppHarbor is a fully hosted .NET Platform as a Service. AppHarbor can deploy and scale any standard .NET application to the cloud.

What is 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.
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    What are some alternatives to AppHarbor and Microsoft Azure?
    Heroku
    Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
    Google App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
    AWS Elastic Beanstalk
    Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
    Apollo
    Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
    OpenShift
    OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
    See all alternatives
    Decisions about AppHarbor and Microsoft Azure
    Kestas Barzdaitis
    Kestas Barzdaitis
    Entrepreneur & Engineer · | 12 upvotes · 62.1K 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 · | 13 upvotes · 49.8K 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
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser · | 5 upvotes · 12.1K views
    atKomiserKomiser
    GitHub
    GitHub
    Go
    Go
    Microsoft Azure
    Microsoft Azure
    OVH
    OVH
    Amazon Web Services
    Amazon Web Services
    Google Compute Engine
    Google Compute Engine

    Google Compute Engine Amazon Web Services OVH Microsoft Azure Go GitHub

    Last week, we released a fresh new release of Komiser with support of multiple AWS accounts. Komiser support multiple AWS accounts through named profiles that are stored in the credentials files.

    You can now analyze and identify potential cost savings on unlimited AWS environments (Production, Staging, Sandbox, etc) on one single dashboard.

    Read the full story in the blog post.

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser · | 5 upvotes · 17.9K views
    atKomiserKomiser
    GitHub
    GitHub
    Microsoft Azure
    Microsoft Azure
    Material Design for Angular
    Material Design for Angular
    Docker
    Docker
    Go
    Go
    Amazon Web Services
    Amazon Web Services
    Google Compute Engine
    Google Compute Engine

    Google Compute Engine Amazon Web Services Go Docker Material Design for Angular Microsoft Azure GitHub I’m super excited to annonce the release of Komiser:2.1.0 with beta support of Google Cloud Platform. You can now use one single open source tool to detect both AWS and GCP overspending.

    Komiser allows you to analyze and manage #cloud cost, usage, #security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.

    It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the #AWS, #GCP and #Azure.

    See more
    Interest over time
    Reviews of AppHarbor and Microsoft Azure
    Avatar of uygary
    Software Engineer at Viagogo
    Review ofAppHarborAppHarbor

    AppHarbor is an amazing tool for indie developers or startups that are just getting on their feet. To put it short, AppHarbor is the Heroku of .NET, being developer friendly, cost effective and performant.

    Their platform has some nice features including the plugins (integrations with different services such as shared or dedicated RDBMS instances, document repositories, messaging queues, logging and monitoring services, etc.) that are extremely easy to use, and especially integrations with BitBucket and GitHub.

    It's such a pleasure to work with the integrations mentioned, that whenever a developer pushes commits to the selected branch, AppHarbor automatically pulls, updates, builds, runs the unit tests and deploys. The cream of the crop is the fact that even the free tier supports this workflow which is practically a continuous delivery approach. And this makes AppHarbor perfect for startups and independent developers.

    And, for established companies, I have to add the fact that their customer support is quite good.

    Avatar of IanEdington
    Business Analyst
    Review ofMicrosoft AzureMicrosoft Azure

    Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

    The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

    If you want VMs you can have them and even program when they come online.

    There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

    How developers use AppHarbor and Microsoft Azure
    Avatar of MOKA Analytics
    MOKA Analytics uses Microsoft AzureMicrosoft Azure

    We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

    Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

    Avatar of Daniel Kovacs
    Daniel Kovacs uses Microsoft AzureMicrosoft Azure

    My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

    Avatar of PSESD
    PSESD uses Microsoft AzureMicrosoft Azure

    We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

    Avatar of Onezino Gabriel
    Onezino Gabriel uses Microsoft AzureMicrosoft Azure

    Serviço utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as peças do serviço no azure, garantindo uma forma rápida e garantia de escalibilidade.

    Avatar of Sean Long
    Sean Long uses Microsoft AzureMicrosoft Azure

    Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

    How much does AppHarbor cost?
    How much does Microsoft Azure cost?