Backup
eBook: Top 10 Requirements for Cloud-Native Data Protection for Kubernetes
Your Guide for Selecting the Right Data Protection for Kubernetes Kubernetes development is becoming increasingly attractive to DevOps teams. In fact, according to CNCF, the worldwide number of cloud-native developers jumped almost 35% in 2020! Interestingly, though, a fall 2020 report found that nearly half of IT professionals have delayed rolling out some containers and
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6 Backup Features You Need (and can’t find in Velero)
6 Backup Features You Need for Kubernetes (and can’t find in Velero) When it comes to data protection and backup for Kubernetes (K8s) environments, you can’t afford to go with a tool that can\’t scale with your cloud-native application. You need an expert. TrilioVault for Kubernetes is a trusted cloud-native data protection platform specifically designed
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Analyst: GigaOm Radar for Kubernetes Data Protection
GigaOm Market Radar – November 2020 GigaOm Radar for Kubernetes Data Protection Trilio was named a Leader and Out-performer in the GigaOm Radar for Kubernetes Data Protection report. The analysis rated 12 offerings across various measures including market positioning, end-user requirements and technical capabilities. Highlights: Trilio was one of only four vendors named a Leader
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Trilio Named Leader and Outperformer in GigaOm Radar for Kubernetes Data Protection
Trilio Named Leader and Outperformer in GigaOm Radar for Kubernetes Data Protection Today Trilio was named a Leader and Outperformer in a new report by research and analysis firm GigaOm. The “GigaOm Radar for Kubernetes Data Protection” report reviewed 12 offerings in the market and rated them based on a set of criteria covering market
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The Next Phase in the Evolution of Hybrid Cloud Data Protection: Backups That Actually Do Something for You
By and large, backups are an age-old, traditional IT function that haven’t evolved. This is likely because backups have long been perceived as a necessary evil for compliance or business continuity — and nothing more. By contrast, if mobile computing followed this same slow evolutionary trajectory, then we would still be using bulky backlit mobiles
