Logging is ancient history. You know – old and outdated. At one time, it was the best method – like sending carrier pigeons to convey messages – but we live in an ever-changing world. Long gone are the days in which logging was the primary method when troubleshooting and debugging. Any developer who was written millions of log lines can attest to the fact that they’ve probably needed to access maybe 1% of those.

Cloud logging services have long been plagued by limitations and high costs, hindering companies’ ability to achieve true flexibility in their operations. One of the primary obstacles is the lack of flexibility in traditional cloud logging services, which often require companies to make upfront decisions about log levels and storage capacity, locking them into fixed plans for extended periods.

As digital transformation and the consequent move towards cloud-native continues to accelerate, and customer demands increase, traditional approaches to debugging and troubleshooting are limited and insufficient. Developers must quickly understand the relationships between user sessions, topology, and end-to-end transactions during incidents.