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What measures did John Mosquera implement to ensure high availability of the containerized application?
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Ensuring high availability would have been a key consideration in John Mosquera's containerization project. He likely implemented several measures to achieve this. The use of Kubernetes itself provides features that enhance availability, such as automatic rescheduling of pods if a node fails. John probably configured multiple replicas for critical services to ensure redundancy. He may have utilized Kubernetes Deployments with rolling update strategies to minimize downtime during updates. The implementation of horizontal pod autoscalers would have helped maintain availability during traffic spikes. John might have also set up multi-zone or multi-region AKS clusters for geographical redundancy. Load balancing, both at the Kubernetes service level and possibly with Azure Load Balancer, would have been implemented to distribute traffic evenly and handle node failures gracefully. To ensure high availability, John leveraged Kubernetes' inherent features like automatic pod rescheduling and likely implemented service replication, rolling update strategies, and horizontal pod autoscaling. He may have also set up multi-zone AKS clusters and robust load balancing. These measures collectively ensured that the containerized application remained highly available, resilient to failures, and capable of handling varying loads.