-
Book Overview & Buying
-
Table Of Contents
Learn OpenShift - Second Edition
By :
Applications running on OpenShift and its various subsystems produce a large amount of log data, which has to be collected, stored, indexed, and analyzed. Log management is necessary not just for developers and infrastructure engineers, but for compliance as well. This can be done locally, using a storage backend managed by its own operator, or by forwarding logs to a remote system, such as Loki, Elasticsearch, Amazon CloudWatch, Apache Kafka, Splunk HTTP Event Collector (HEC), or syslog. In this chapter, you will learn about the architecture of logging in OpenShift, its components, such as Loki and Vector, as well as how to configure OpenShift to send logs to a centralized location for further analysis and retention. Its importance is emphasized by the fact that the need for centralized log storage and analysis grows with the number of applications and is a regulatory requirement in all major jurisdictions.
We’ll cover the following main topics:
...