Adarsh K Kumar
Software Engineer with 12+ years of experience, working on Infrastructure, distributed systems and databases. Leading infrastructure team at Rapido handling a scale (150K rps at edge), multiple self managed databases (mongodb/redis/kafka/cassandra) with 100s of TB of data. Prior to this was working as a Software Consultant at ThoughtWorks.
Session
09-28
15:05
25min
Autoscaling beyond CPU and Memory
Adarsh K Kumar
We will explore how to horizontally scale Kubernetes workloads based on metrics other than CPU and Memory. We start by exploring how HPA works in K8S and how we can scale based on metrics like Kafka Lag or traffic requests etc. We would explore two options for achieving this - Prometheus Adapter and KEDA .
Microservices & Containerization
Cloud Native