Github Designing Data-intensive Applications Jun 2026

Data-intensive applications are everywhere, from social media platforms to e-commerce websites, and from financial systems to IoT sensor networks. These applications are characterized by their ability to handle large amounts of data, often in real-time, and provide insights and value to users. The importance of data-intensive applications lies in their ability to:

Check out RocksDB (maintained by Meta). It is a prime example of a log-structured merge-tree used in high-performance applications. github designing data-intensive applications

Building a data-intensive application is a series of trade-offs. Whether you are choosing between synchronous or asynchronous replication, or deciding if your application needs strict serializability, the answers are written in the code of the world’s most successful open-source projects. It is a prime example of a log-structured

Kleppmann dedicates significant attention to the challenges of scaling databases beyond a single machine. GitHub’s history is a chronicle of these battles. For years, the site’s main relational database (MySQL) grew to an unmanageable size. The classic solution—vertical scaling (buying a bigger server)—reached its limits. The number of connections, the size of indexes, and the working set of memory no longer fit on any single commodity server. the size of indexes

When designing data-intensive applications, several factors must be considered:

If you need a list of items here are some key takeaways: