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What is backup and recovery?

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Backup is needed for both logical and physical protection. Organizations can use an effective backup strategy to recover quickly from application issues or restore accidentally deleted files. Additional storage technologies can also be enabled to use storage snapshots for quick recovery.

Backing up and restoring the data that powers applications is critical to meeting recovery point objectives (RPO) and recovery time objectives (RTO). Technologies such as containers, Kubernetes, and serverless present new opportunities in application development but still need a recovery plan in the event of a failure.

  • Faster recovery times by developing applications with failure in mind
  • Backup application state will allow you to re-provision your application from Pipeline
  • Allow developers to backup and restore environments
  • Minimize container failures across your environment

Some challenges of protecting and recovering your data

  • New workflows for developers and architects 
  • An emerging ecosystem around backup and recovery for containers could result in non-standardized solutions

We partner with trusted companies to help deliver data protection solutions. Here are some examples of how we work together.

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What are Red Hat OpenShift Operators?

Red Hat OpenShift Operators automate the creation, configuration, and management of instances of Kubernetes-native applications.


Why choose Red Hat OpenShift Serverless?

Red Hat OpenShift Serverless extends Kubernetes in order to deploy and manage serverless workloads.


Why choose Red Hat OpenShift Service Mesh?

Red Hat OpenShift Service Mesh gives you a uniform way to connect, manage, and observe microservices-based applications.

More about OpenShift


Red Hat OpenShift

An enterprise-ready Kubernetes container platform with full-stack automated operations to manage hybrid cloud, multicloud, and edge deployments.

Red Hat OpenShift Data Science

A fully supported sandbox in which to rapidly develop, train, and test machine learning (ML) models.

Red Hat OpenShift Data Foundation

Software-defined storage that gives data a permanent place to live as containers spin up and down and across environments.

Red Hat Advanced Cluster Management Kubernetes

A single console, with built-in security policies, for controlling Kubernetes clusters and applications.



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Running Containers with Red Hat Technical Overview

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Developing Cloud-Native Applications with Microservices Architectures

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Containers, Kubernetes and Red Hat OpenShift Technical Overview

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