There are tried and true methods for debugging and monitoring standalone applications; however, applications at scale are a different story. There are huge complexities involved that affects how log management needs to be handled to perform a safe data analysis. Logging becomes challenging in environments with distributed applications and/or microservices as new patterns and specialized tools are required.
The following presentation will dive into the complexity of log management at scale, the internal phases of a logging pipeline, constraints in containers, and approaches like Log Forwarders and Log Aggregators that can be used to achieve a scalable logging layer in a Kubernetes cluster.
Eduardo is a Principal Engineer at Arm Treasure Data, he is the author and maintainer of Fluent Bit Log Processor, a CNCF sub-project under the umbrella of Fluentd. He is an international speaker in Open Source conferences, he has participated in Scale California, LinuxConf AU, Linux... Read More →
Monday October 23, 2017 15:10 - 15:50 CEST
Hercovka
