The ins, outs, and benefits of using Grafana Loki as a backend logging solution
As organizations have moved from monolithic to microservice-based architectures, there has been an explosion in the volume of logs generated. Most logging solutions create a full index of the logs and use SSD drives, which results in costly compute and storage resources for logs that are mostly write once, read never. We created Grafana Loki to solve these problems. Loki only indexes the metadata of the log lines, relies on inexpensive object storage, and is architected for scalability. In addition, Loki takes advantage of parallelism and sharding that results in fast query performance. In this session, we will discuss the benefits of using Loki as a backend logging solution.
Presented by Shawn Madden, Principal Solutions Engineer at Grafana Labs