Mid-winter is fast approaching, meaning it’s nearly time to start thinking about spring again! But here at Catalogic all we’ve been thinking about lately is adding more features to CloudCasa. We were thrilled to hear that CloudCasa has been named a Kubernetes data protection leader and outperformer in the recently released GigaOm Radar for Kubernetes Data Protection Report, but we have no intention of resting on our laurels!
Most Kubernetes users understand the complexity involved in managing multiple Kubernetes clusters, especially when those clusters are hosted in hybrid cloud or multi-cloud environments.
In this episode of 2023 Predictions, Sathya Sankaran, General Manager of CloudCasa by Catalogic, speaks with Swapnil Bhartiya on his insights into where he sees the industry heading in 2023. The pandemic resulted in the acceleration of cloud adoption and digital transformation and Sathya expects this momentum to continue in 2023 as well.
Google Cloud Provider (GCP) Filestore is a good place to keep lots of rich, unstructured data, such as graphic designs, video editing files, and other media workflows that use files as input and output. Having GCP Filestore backups enables users to protect themselves against the rare case of inaccessibility, accidental changes, ransomware attacks, or other types of disasters.
Amazon Elastic File System (EFS) is a simple, scalable and fully managed file storage service to support the storage and throughput needs of your Kubernetes applications. Amazon EFS is designed to be highly available and durable, however your EFS data can still be prone to data loss, data corruption, and have compliance issues. Amazon EFS Backup and Restore of data helps protect against data loss due to hardware failures, accidental deletion, ransomware attacks, or other types of disasters.
Companies often see seasonal business spikes with periods of increased on-line demand or activity. To meet the changing application demands, Kubernetes has become the platform of choice to automatically scale web applications and infrastructure up and down. Autoscaling in Kubernetes adjusts the resources that are available to run the application or service, while minimizing the cost of those resources.
