Welcome to Trilio For Kubernetes

Learn about Trilio for Kubernetes and this documentation

Trilio Data, Inc

Trilio Data, Inc. is the leader in providing backup and recovery solutions for cloud-native applications. Established in 2013, its flagship product, Trilio for Kubernetes is used by some of the largest corporations around the world.

About Trilio for Kubernetes

The advent of cloud computing has transformed the Information Technology industry beyond recognition. Not long ago, monolithic business applications ran on dedicated hardware in enterprise-owned data centers. The upkeep of these applications against software and hardware refresh cycles, coupled with scaling these applications as businesses continue to grow, has been a constant battle for IT staff.

Cloud computing has alleviated a majority of these concerns. This new breed of next-generation applications is built for web-scale, leveraging the platform abstraction that cloud platforms provide. Although both the delivery and consumption of cloud computing have dramatically improved, a new wave of application management challenges has emerged, such as; monitoring, tracing, troubleshooting, root cause analysis, data management, and data protection. Applications have scaled from a single server to now 100s of servers.

A new approach and technology are needed to address business continuity and disaster recovery strategies for environments that have adopted and run cloud-native applications. Trilio's mission is to address the data protection challenges of cloud applications that traditional solutions have failed to address.

Trilio for Kubernetes is a backup and recovery-as-a-service tool built for cloud platforms.

About this Documentation

This documentation serves as the end-user technical resource to accompany Trilio for Kubernetes.

You will learn about the installation, operation, and architecture of Trilio for Kubernetes.

The intended audience is anyone who wants to understand the value, operations, and nuances of protecting their cloud-native applications with Trilio for Kubernetes.