Time Series databases face the significant challenge of processing vast amounts of data. At VictoriaMetrics, we are actively developing an open-source Time Series database entirely from scratch using Go. Our average installation handles between 2 to 4 million samples per second during ingestion, with larger setups managing over 100 million samples per second on a single cluster. In his presentation, we will explore various techniques essential for constructing write-heavy applications such as: - Understanding and mitigating write amplification. - Implementing instant database snapshots. - Safeguarding against data corruption post power outages. - Evaluating the advantages and disadvantages of utilizing Write Ahead Log. - Enhancing reliability in Network File System (NFS) environments. Throughout the talk, we will illustrate these concepts with real code examples sourced from open-source projects.