Kubernetes logging concepts & implementation by Eldar Aliiev

We've discussed the logging basic and best practices, possible cases for logging organization and main tools for logging implementation: - Reviewed logging best practices. - Reviewed preferred logs structure and possible severity levels. - Discovered available logging agents for Kubernetes logs collection (Fluent-Bit, FluentD, NXLog, Filebeat). - Reviewed famous logging platforms (Elasticsearch, Grafana Loki, Datadog, Splunk, logz.io). - Meet with different logging pipelines implementation (+architecture). - Meet with Fluent-Bit basics and configuration (inputs, filters, outputs). - Defined how to setup interconnection between Fluent-Bit and FluentD/Fluent-Bit instances. - Reviewed possible ways of Fluent-Bit deployment to Kubernetes. - Discovered monitoring feature for Fluent-Bit. - Meet with Grafana Loki basics. - Discussed logs indexing mechanisms. - Reviewed HA deployment types for Loki. - Discovered way how to send data from Fluent-Bit to Loki. - Meet with Grafana Cloud. - Performed live demo of Kubernetes logs collection pipeline with Fluent-Bit, Loki and Grafana (logging pipeline implementation, helmfile utility usage).

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