GlusterFS VS MySQL

https://github.com/gluster/glusterfs/issues/894

And apparently apart from modern coreutils using that, it is mostly gentoo users hitting the bugs in lseek.

This Product Appendix does not apply to online service offerings managed by Red Hat or generally available open source projects such as www.wildfly.org, www.fedoraproject.org, www.openstack.redhat.com, www.gluster.org, www.centos.org, okd.io, Ansible Project Software or other community projects.

Just because Red Hat will stop selling commercial support for their product, does not mean GlusterFS itself is dying. It's an open source project like any other - https://github.com/gluster/glusterfs

https://www.gluster.org/ Is the way to do this across nodes

This allows us to fetch the desired quality of the video as per the user's request, and once the media file finishes processing, it will be uploaded to a distributed file storage such as HDFS, GlusterFS, or an object storage such as Amazon S3 for later retrieval during streaming.

GlusterFS

But where can we store files at scale? Well, object storage is what we're looking for. Object stores break data files up into pieces called objects. It then stores those objects in a single repository, which can be spread out across multiple networked systems. We can also use distributed file storage such as HDFS or GlusterFS.

GlusterFS - same as above (https://www.gluster.org/)

What you look for is a clustered file system. Like https://www.gluster.org/. As long as all units are closeby with low latency there are a couple solutions that allow you to create distributed storage solutions of various kinds. Key value stores applenty, clustered file systems that pretent to be one file system etc. If you have geographically distributed solutions with high latencies it becomes harder. Most open source systems don't work really well in this scenario. There were a couple attempts like Hydrabase but they didn't go so far. It normally is solved by doing two clusters and then replicate between them.

I'd imagine most managed service providers are going to require a credit card, though most of them have a free tier. If you want to take an unmanaged approach, maybe look into Gluster. I've used it before and never had issue with it, but I also had an infrastructure team that set it up, so I'm not familiar with the challenges that way: https://www.gluster.org/

MySQL

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

MySQL is an open-source relational database management system (RDBMS) that stores, organizes, and accesses data in a structured format. The prerequisites section discussed Connecting your Boomi Atom runtime and MySQL on Docker, and this section will build on that knowledge.

Node.js, MySQL and PostgreSQL servers installed on your machine

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

MySQL: A widely-used open-source SQL database, MySQL is efficient for OLTP with its fast data processing and robustness. It is a go-to choice for web-based applications, e-commerce, and online transaction systems.

Our orders microservice will have its own set of teachnologies just like we earlier plotted that is mysql database and sequelize orm. MySQL is an open-source relational database management system (RDBMS) that is widely used for building web applications and managing data. It is a popular choice for many developers and organizations due to its performance, reliability, and ease of use. Sequelize is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a way to interact with relational databases like MySQL, PostgreSQL, SQLite, and MSSQL using JavaScript or TypeScript. It simplifies database operations by allowing developers to use JavaScript objects to represent database tables and records, instead of writing raw SQL queries. In this microservice, we will use it to query our MySQL database.

Data Stores (Amazon RDS, MySQL, PostgreSQL)

Total.js, a powerful web framework for Node.js, simplifies web application development. Integrating databases like MySQL is crucial for building dynamic applications. In this tutorial, we'll explore how to seamlessly combine MySQL with __ Total.js__ using QueryBuilderMySQL. This intuitive tool streamlines database interactions, making it ideal for both beginners and experienced developers.