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AppHarbor vs Elastic Cloud on Kubernetes: 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, Elastic Cloud on Kubernetes is detailed as "Elasticsearch & Kibana on Kubernetes". Elastic Cloud on Kubernetes simplifies setup, upgrades, snapshots, scaling, high availability, security, and more for running Elasticsearch and Kibana in Kubernetes for one or many use cases.
AppHarbor and Elastic Cloud on Kubernetes can be categorized as "Platform as a Service" tools.
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, Elastic Cloud on Kubernetes provides the following key features:
- Store local, search Global
- Fully-featured clusters
- Secure by default
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Learn MorePros of AppHarbor
Pros of Elastic Cloud on Kubernetes
Pros of AppHarbor
- Has a totally free account option8
- Low cost2
- GitHub integration2
- BitBucket integration2
- Startup friendly2
- Wide choice of integrations2
- Service bus2
- Document database2
- Relational database2
- PostgreSQL2
- .NET Webhosting1
- Add on easy setting1
Pros of Elastic Cloud on Kubernetes
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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 Elastic Cloud on Kubernetes?
Elastic Cloud on Kubernetes simplifies setup, upgrades, snapshots, scaling, high availability, security, and more for running Elasticsearch and Kibana in Kubernetes for one or many use cases.
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What companies use AppHarbor?
What companies use Elastic Cloud on Kubernetes?
What companies use AppHarbor?
What companies use Elastic Cloud on Kubernetes?
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What tools integrate with AppHarbor?
What tools integrate with Elastic Cloud on Kubernetes?
What tools integrate with AppHarbor?
What tools integrate with Elastic Cloud on Kubernetes?
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What are some alternatives to AppHarbor and Elastic Cloud on Kubernetes?
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.
NGINX
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
Apache HTTP Server
The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet.
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.
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.