There are two generations of distributed database architectures, first-generation being traditional clustering with respect to building distributed databases for scalability and availability. These architectures have a history of complexity due to procedures such as adding/removing nodes in a quorum, sharding across a cluster, partitioning data into shards during ingestion, and querying those shards. In contrast, second-generation architectures leverage distributed storage and serverless architecture, providing a shared everything design with stateless capabilities. This allows for infinitely scalable solutions where compute capacity equals network capacity. Third-generation architectures take it further by adopting a fully stateless and serverless design with strongly consistent and distributed storage such as cloud object storage. These solutions simplify availability and reduce costs compared to traditional first/second generation databases, enabling customers to scale their data ingestion and querying workloads at significantly reduced costs. With the use of cloud object storage for data ingestion, ChaosSearch has achieved zone and region availability without the need for active-active or active-passive clustering, resulting in a more resilient and cost-effective solution.