7 Performance and scaling
This chapter covers
- Tuning Fluentd to maximize resources using workers
- Deploying Fluentd with fan-in and -out patterns
- Using deployment patterns for scaling
- Implementing high availability and deployments
- Using Fluentd with microservice patterns
In previous chapters, we worked with just a single Fluentd instance. Still, we live in a world of distribution, virtualization, and containerization, which typically needs more than a single instance. In addition to distribution considerations, we need to support elasticity through scaling up (adding more CPUs or memory to a server to support more processes and threads) and scaling out (deploying additional server instances to have workload distributed via load balancing) to ...
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