A practical approach to operating Data Service tiers on Kubernetes - Rags Srinivas - NDC Sydney 2021

Many teams are trying to evolve from experimenting with simple “Hello World!” stateless apps to to refactor more complex data-driven cloud native apps, incorporating newer paradigms such as microservices, service mesh, and more. However, operating of these distributed systems still presents ongoing major challenges such as data durability, observability, and High Availability to name a few. How are teams and technologies evolving to deal with this myriad of challenges? In this session we will demonstrate some tools and techniques with a comprehensive practical example based around open sourced K8ssandra, which provides an operator for running Apache Cassandra and incorporates supporting tools into a full fledged data tier. After attending this session, attendees (Devops and Ops audience alike) will get a holistic perspective of the day-to-day challenges of the cloud-native approach -- gain a better understanding of data durability, routine backups and restore, observability, HA and DR. Dissecting the example with a step-by-step approach, will enable attendees to walk away with practical tips for a robust architecture and how to operationalize it. A summary of what you will learn from a cloud-native perspective. Unique challenges of operating a data service on K8S Routine data functions such as backup, restore and durability Observability, HA and DR specifically for a data service Using a Kubernetes operator to help with the operations Check out more of our featured speakers and talks at https://ndcconferences.com/ https://ndcsydney.com/