ACHIEVING HIGH AVAILABILITY FOR STATEFUL WORKLOADS ON KUBERNETES
The biggest concern one has while migrating workloads to run on Kubernetes is the way stateful workloads are handled. The lack of persistent storage has indeed forced many to consider an approach where stateful pieces are kept out of Kubernetes. If the applications are rescheduled to a different node by Kubernetes then the applications will lose access to the database, impacting their statefulness.
In this session, we will discuss this pain point and explore open source solutions that are available to handle stateful workloads. One such open source solution – Kadalu storage – helps in achieving data agility for the stateful workloads. The Kadalu storage solution is based on GlusterFS, an open source Distributed File System that can store multiple petabytes of data. You can listen to the co-founder and creator of Kadalu storage solution discussing about providing persistent volumes to stateful workloads in Kubernetes.
Time: 6:00 PM to 7:00 PM (IST)
Aravinda Vishwanathapura, Co-Founder at Kadalu.io, GlusterFS core team member, comes with 16 years of experience in Distributed File systems, Observability, Databases and Web development. At Kadalu.io he is focused on building the Distributed Open Source Storage and monitoring solutions for Kubernetes, On-premise and ARM based deployments. He also developed a utility to convert Kannada ASCII documents to Unicode and vice-versa, with more than 10K page views per day.
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