Why Pinlearn?

Unlike SaaS solutions, Pinlearn’s open source-code allows you to host your website on a web server of your choice, which you cannot enjoy in any SaaS alternative. You retain total control over your content, courses, pricing, and data. You get full ownership of your source-code, IP rights, terms, and conditions of your eLearning platform.

With open source-code, comes a complete freedom for customizations. Pinlearn tutoring marketplace software is highly customizable. It’s built on the most cutting-edge technologies and imparts you the highest degree of customizability to add, remove, modify, or overhaul any features you want.

Pinlearn suggests our customers to get their software installed on Amazon’s AWS cloud infrastructure to utilize maximum benefits on several layers.

1. AWS data centre and network systems are designed to be fully redundant and maintainable without impact to operations, 24 hours a day, seven days a week.
2. Can use AWS backup tool to backup data on a daily basis.
3. Distributed File Storage Course media, including videos, image files, audio recordings, etc. and student-uploaded files, like assignments, documents, and learning artifacts are stored outside the database in a separate and scalable Amazon Simple Storage Service (S3) bucket that is designed for durability exceeding 99.99999999%.  All objects within the S3 buckets are replicated between regions (e.g. US East to US West) and have version control enabled so previous versions of an object can be restored with minimal effort.
4. Pinlearn architecture is horizontally scalable and uses a mix of in-house developed and AWS provided technologies, enabling it to respond to usage spikes in real-time and accommodate expanded, long-term usage. Through automatic scaling and automated provisioning technology, Pinlearn adjusts cloud resources to handle large usage loads before they cause slowdowns.
5. For Load balancing, we can use AWS Elastic Load Balancers. Load balancing is to optimize the use of resources available, maximize throughput, minimize response time, and avoid overload of any single resource. Instead of using a single component, load balancing takes advantage of multiple resources, by increasing the architecture availability and reliability.
6. We can use Amazon EC2 as an Application server. Application servers process incoming requests from the load balancers. They are responsible for executing the business logic, rendering HTML, and returning some static assets to the user’s web browser.
7. We can use Amazon CloudFront (a caching CDN) to quickly deliver static assets to users. The caching layer provides performance optimization. A healthy cache means the application servers need to make fewer trips to the database which speeds up response times. The caching layer is made up of numerous machines running Redis.
8. Pinlearn uses MongoDB. It can be set up on AWS. If needed, for high scalability, we can use mLabs to setup MongoDB on cloud. mLabs can take care of the complexities of managing a database so you don’t have to worry about it. There can be a lot to manage in a production database – configuration, backups, performance tuning, upgrades, monitoring, and more.

1. Responsive and personal email & phone support – we don’t go home until every question has been answered.
2. Comprehensive knowledge base to get you going, regardless of if you’re an expert or just starting out.
3. 90% of questions answered in less than 5 hours.
4. Every employee, from our CEO to the newest hire, spends time each week in customer support.