Applications grow. As an application attracts more users, so do the databases that store the information created, whether that’s sales transactions or scientific data gathered. Larger datasets require more resources to store and process that data. Plus, with more simultaneous users using the system, the database needs more resources. When your application becomes popular, it needs to scale to meet the demand. Nobody sticks around if an application is slow — not willingly, anyway. If you need to scale, celebrate it as a good problem! But that doesn’t make the process simple. Scaling has multiple possible options, each requiring different levels of sophistication. Here, we cover scaling both as a generic challenge and specifically for Redis databases, with attention to advanced scaling using Redis Enterprise. Scaling Concepts Scaling is a multidimensional problem with several distinct solutions. Vertical scaling involves increasing a database’s… Leggi tuttoTechniques for Scaling Applications with a Database