Storing Single-Tenant SQLite Databases in Global Tigris Buckets for Multi-Tenant Apps on Fly Machines
Learn how to store SQLite databases in Tigris buckets for multi-tenant applications on Fly Machines with guidance from Fly.io. Explore setting up, accessing, and managing single-tenant databases across globally distributed regions.
Abstract
The article guides you through storing SQLite databases in Tigris buckets for multi-tenant apps on Fly Machines. It explains setting up Tigris, handling single-tenant databases, and deploying a Node.js app with SQLite while ensuring data persistence and availability. Lastly, it delves into achieving multi-tenancy by routing requests to specific Fly Machines based on customer IDs.
Results
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Discussion
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Relevance
This article is essential as it details a practical approach to managing single-tenant SQLite databases in a multi-tenant environment using global Tigris buckets on Fly Machines. It presents opportunities to enhance data storage and access efficiency while navigating challenges like data overwriting and parallel processing limitations.
Applicability
To implement the insights from this article, you should start by setting up Tigris for global database distribution and configuring Fly Machines. Next, integrate SQLite databases into your Node.js app, ensuring proper handling of data on startup and shutdown. Finally, explore multi-tenancy by routing requests based on customer IDs for efficient data management.
Risks
An inherent risk lies in allowing multiple Machines to access the same SQLite database concurrently, potentially leading to data inconsistencies or overwrites. Additionally, managing parallel data processing without synchronization may result in inaccurate database updates.
Conclusion
By embracing the trend of storing single-tenant SQLite databases in globally distributed storage buckets, you can enhance data availability and performance for multi-tenant applications. Looking ahead, advancements in routing mechanisms like fly-replay could further streamline multi-tenancy setups, offering improved scalability and efficiency.
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