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Showing 1 - 5 of 5 white papers, page 1 of 1.
Lift and Shift Backup and Disaster Recovery Scenario for Google Cloud: Step by Step Guide
Lift and Shift Backup and Disaster Recovery Scenario for Google Cloud: Step by Step Guide
Topics: GoogleCloud, CloudBackup, DPaaS, GoogleCloudPlatform, HYCU
There are many new challenges, and reasons, to migrate workloads to the cloud. Especially for public cloud, like Google Cloud Platform. Whether it is for backup, disaster recovery, or production in the cloud, you should be able to leverage the cloud platform to solve your technology challenges. In this step-by-step guide, we outline how GCP is positioned to be one of the easiest cloud platforms for app development. And, the critical role data protection as-as-service (DPaaS) can play.

There are many new challenges, and reasons, to migrate workloads to the cloud.

For example, here are four of the most popular:

  • Analytics and Machine learning (ML) are everywhere. Once you have your data in a cloud platform like Google Cloud Platform, you can leverage their APIs to run analytics and ML on everything.
  • Kubernetes is powerful and scalable, but transitioning legacy apps to Kubernetes can be daunting.
  • SAP HANA is a secret weapon. With high mem instances in the double digit TeraBytes migrating SAP to a cloud platform is easier than ever.
  • Serverless is the future for application development. With CloudSQL, Big Query, and all the other serverless solutions, cloud platforms like GCP are well positioned to be the easiest platform for app development.

Whether it is for backup, disaster recovery, or production in the cloud, you should be able to leverage the cloud platform to solve your technology challenges. In this step-by-step guide, we outline how GCP is positioned to be one of the easiest cloud platforms for app development. And, the critical role data protection as-as-service (DPaaS) can play.

Sponsor: HYCU|August 2019|8 Pages
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CloudCasa - Kubernetes and Cloud Database Protection as a Service
CloudCasa - Kubernetes and Cloud Database Protection as a Service
Topics: Catalogic Software, CloudCasa, Kubernetes backup, Rancher backup, DigitalOcean, Openshift backup, RDS backup
CloudCasa™ was built to address data protection for Kubernetes and cloud native infrastructure, and to bridge the data management and protection gap between DevOps and IT Operations. CloudCasa is a simple, scalable and cloud-native BaaS solution built using Kubernetes for protecting Kubernetes and cloud databases. CloudCasa removes the complexity of managing traditional backup infrastructure, and it provides the same level of application-consistent data protection and disaster recovery that IT O

CloudCasa supports all major Kubernetes managed cloud services and distributions, provided they are based on Kubernetes 1.13 or above. Supported cloud services include Amazon EKS, DigitalOcean, Google GKE, IBM Cloud Kubernetes Service, and Microsoft AKS. Supported Kubernetes distributions include Kubernetes.io, Red Hat OpenShift, SUSE Rancher, and VMware Tanzu Kubernetes Grid. Multiple worker node architectures are supported, including x86-64, ARM, and S390x.

With CloudCasa, managing data protection in complex hybrid cloud or multi-cloud environments is as easy as managing it for a single cluster. Just add your multiple clusters and cloud databases to CloudCasa, and you can manage backups across them using common policies, schedules, and retention times. And you can see and manage all your backups in a single easy-to-use GUI.

Top 10 Reasons for Using CloudCasa:

  1. Backup as a service
  2. Intuitive UI
  3. Multi-Cluster Management
  4. Cloud database protection
  5. Free Backup Storage
  6. Secure Backups
  7. Account Compromise Protection
  8. Cloud Provider Outage Protection
  9. Centralized Catalog and Reporting
  10. Backups are Monitored

With CloudCasa, we have your back based on Catalogic Software’s many years of experience in enterprise data protection and disaster recovery. Our goal is to do all the hard work for you to backup and protect your multi-cloud, multi-cluster, cloud native databases and applications so you can realize the operational efficiency and speed of development advantages of containers and cloud native applications.

Sponsor: Catalogic Software|April 2021|3 Pages
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Kubernetes Data Protection Without Tears
Kubernetes Data Protection Without Tears
Topics: Catalogic, catalogic software, Kubernetes, backup, cloud native, containers, data protection
Catalogic Software is a modern data protection company providing innovative backup and recovery solutions including its flagship DPX product, enabling IT organizations to protect, secure and leverage their data. Catalogic’s CloudCasa offers cloud data protection, backup, and disaster recovery as a service for Kubernetes applications and cloud data services.
Catalogic Software is a modern data protection company providing innovative backup and recovery solutions including its flagship DPX product, enabling IT organizations to protect, secure and leverage their data. Catalogic’s CloudCasa offers cloud data protection, backup, and disaster recovery as a service for Kubernetes applications and cloud data services.

Download to learn more about

•    The Need to Protect Kubernetes Infrastructure
•    Why Use Container Cloud Services?
•    Holes in Enterprise Kubernetes Management Software
•    Why SaaS Container Data Protection?
•    Data Protection for Cloud-Native Applications and Infrastructure

Sponsor: Catalogic Software|November 2021|12 Pages
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GigaOm Radar for Kubernetes Data Protection
GigaOm Radar for Kubernetes Data Protection
Topics: Kubernetes backup, Velero backup, GKE backup, EKS backup, AKS backup, Catalogic, Catalogic Software
Read this report to learn how CloudCasa is positioned as a Leader and an Outperformer in the GigaOm Radar, and how it stacks up against other vendor solutions in the key criteria comparison. The Vendor Insights summarizes the strengths of CloudCasa as a SaaS service that enables you to backup, restore, migrate, and secure Kubernetes-based applications.
Kubernetes is the industry standard for container orchestration, and it’s being used by born-in-the-cloud startups and cloud-native enterprises alike. It’s found in production on-premises, in the cloud, and at the edge for many different types of applications, including some that Kubernetes wasn’t initially built for.

Kubernetes was never really meant for stateful applications, and by default, it lacks many data management and protection features. However, many organizations are building and running their stateful applications on top of Kubernetes, indicating there’s a gap in functionality between what Kubernetes offers and what the (enterprise) market wants.

Unfortunately, existing data protection tools, mostly built for legacy technologies such as virtual machines (VMs), do not fit well into the container paradigm. However, vendors are adapting existing solutions or creating new products from scratch that are better aligned with the cloud-native and container worlds.

Many of these solutions include data protection and other data management features, such as data integrity and security, disaster recovery, and heterogeneous data migration capabilities. There’s some overlap among data storage solutions, data protection solutions, and data management solutions in the cloud-native space, with each solution offering some adjacency in terms of features.

We have seen a particular focus on ransomware and other data integrity and security features in the last year, with vendors developing protective measures against different kinds of attacks, including ransomware, abuse of misconfigured cloud resources, and more. The companion Key Criteria report dives into the capabilities we expect to see in this space—namely, cloud-native data storage, protection, security, and migration.
Sponsor: Catalogic Software|January 2023|1 Page
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Chaos engineering: Injecting failure to test resilience
Chaos engineering: Injecting failure to test resilience
Topics: Site24x7, chaos engineering, what is chaos engineering, chaos engineering examples, chaos engineering use cases
Principles of Chaos described chaos engineering as the practice of carrying out experiments like fault injections on a system, for the sake of building confidence in the system’s resilience and ability to withstand turbulent conditions in the production environment. This article will describe the principles of chaos engineering, starting with its history and similar concepts.
Chaos engineering is an emerging practice of resilience testing in IT development. By deliberately injecting failures and errors into a system and monitoring the response, IT development teams can gain confidence in a software system’s ability to withstand real-time chaos (unexpected situations). Chaos engineering helps prevent outages, cut costs, eliminate fault lines, and build confidence in managing any system.

Read this e-book to learn about the principles of chaos engineering, the tools and resources used, and an example involving a Kubernetes application.
Sponsor: Site24x7|October 2022|9 Pages
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