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  4. Platform As A Service
  5. AppHarbor vs Rafay Systems

AppHarbor vs Rafay Systems

OverviewComparisonAlternatives

Overview

AppHarbor
AppHarbor
Stacks17
Followers24
Votes28
Rafay Systems
Rafay Systems
Stacks9
Followers21
Votes0

AppHarbor vs Rafay Systems: What are the differences?

Introduction

In this analysis, we will explore the key differences between AppHarbor and Rafay Systems, two popular platforms for application deployment and management.

  1. Technology Stack Compatibility: AppHarbor is specifically designed to work with .NET and .NET Core applications, making it an ideal choice for developers utilizing these technologies. On the other hand, Rafay Systems is a more agnostic platform that supports a variety of programming languages and technology stacks, providing greater flexibility for development teams using different frameworks and tools.

  2. Scalability Options: AppHarbor offers seamless scalability for applications through its cloud-based infrastructure, allowing developers to easily scale up or down based on their requirements. In contrast, Rafay Systems provides advanced scalability features such as dynamic resource allocation and intelligent workload distribution, appealing to organizations with complex scaling needs and high-demand applications.

  3. Deployment Automation: AppHarbor focuses on providing efficient and streamlined deployment processes for developers, offering integrated tools for continuous integration and deployment. Rafay Systems, on the other hand, emphasizes automation at a larger scale, enabling end-to-end lifecycle automation for applications including provisioning, deployment, scaling, and resource optimization.

  4. Monitoring and Analytics Capabilities: AppHarbor offers basic monitoring and logging features to help developers track the performance of their applications and identify issues. Rafay Systems, in comparison, provides advanced monitoring and analytics capabilities with deep insights into application performance, user behavior, and infrastructure utilization, empowering organizations to make data-driven decisions and improve their applications continuously.

  5. Security Posture: AppHarbor incorporates robust security measures to protect applications and data, including encryption, access controls, and threat detection mechanisms. Rafay Systems, with its emphasis on enterprise-grade security, extends the security posture to application deployment and management, offering compliance monitoring, threat intelligence integration, and secure networking features.

  6. Funding and Support: AppHarbor operates as a standalone platform and is supported by its parent company, while Rafay Systems has received significant funding and support from investors, allowing for a more rapid expansion and development of its platform. This difference in funding and support can impact the pace of innovation and the scale of features offered by the two platforms.

In Summary, the key differences between AppHarbor and Rafay Systems lie in their technology stack compatibility, scalability options, deployment automation, monitoring and analytics capabilities, security posture, and funding/support structures.

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Detailed Comparison

AppHarbor
AppHarbor
Rafay Systems
Rafay Systems

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

Rafay's automation framework provides multi-cluster management and app operations at scale. Create, deploy, operate, monitor, upgrade and retire Kubernetes clusters & k8s-resident applications across multi-regions, clouds and environments.

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.
CI/CD integration; Multi-Cloud abstractions; Customizable, In-cluster scaling; Cross-cluster deployment & scaling; Global traffic steering and API management; Dynamic workload placement; App log & metric aggregation; Operational debugging and diagnostics; Data & State synchronization; Config synchronization; Canary / Rolling upgrades; App health tracking
Statistics
Stacks
17
Stacks
9
Followers
24
Followers
21
Votes
28
Votes
0
Pros & Cons
Pros
  • 8
    Has a totally free account option
  • 2
    Low cost
  • 2
    GitHub integration
  • 2
    BitBucket integration
  • 2
    Startup friendly
No community feedback yet
Integrations
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New Relic
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Redis To Go
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MemCachier
MemCachier
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Gmail
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Slack
Amazon EKS
Amazon EKS
PagerDuty
PagerDuty
Azure Cosmos DB
Azure Cosmos DB
OpenStack
OpenStack
Vault
Vault
Sumo Logic
Sumo Logic
Kubernetes
Kubernetes

What are some alternatives to AppHarbor, Rafay Systems?

Heroku

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.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

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.

Red Hat OpenShift

Red Hat 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.

AWS Elastic Beanstalk

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.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

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