Create a resilient container orchestration infrastructure

[StorageExperts]

Deploy Canonical Charmed Kubernetes with HPE GreenLake for Block Storage leveraging HPE CSI Driver for Kubernetes

Learn how deploying Canonical Charmed Kubernetes with HPE GreenLake for Block Storage streamlines cluster deployment, ensuring consistency and speed.

– By Parissa Mohamadi, Product Manager for Virtualization, Containers and Data Management Solutions, HPE

It’s a given that today’s digital landscape is exceedingly fast paced. This leaves organizations like yours increasingly embracing containerized applications and microservices to drive agility, scalability, and innovation. However, orchestrating and managing these distributed workloads at scale can be a daunting task. Enter the powerful combination of Canonical Charmed Kubernetes and HPE GreenLake for Block Storage.

This comprehensive solution offers a seamless path to deploying a resilient, enterprise-grade container orchestration infrastructure. It leverages the Canonical suite of tools – including the automation capabilities of MAAS and Juju running on the Ubuntu Server operating system platform – along with the robust storage integration provided by HPE GreenLake for Block Storage with HPE Alletra 9000 and HPE Alletra 6000 and the HPE CSI driver for Kubernetes. This enables IT professionals to streamline the deployment and management of Kubernetes clusters, ensuring consistent, high-performance storage operations while minimizing complexity and maximizing efficiency.

Best practice for deployment

The Canonical suite of tools automate provisioning and simplify server and cloud infrastructure management. Charmed Kubernetes streamlines cluster deployment through charms and bundles, ensuring consistency and speed while Ubuntu Pro extends support and security coverage to meet enterprise requirements for this comprehensive stack.

Offered through HPE GreenLake for Block Storage and HPE Alletra Storage, HPE Alletra Storage 9000 and HPE Alletra Storage 6000 leverage the HPE CSI Driver for Kubernetes to provide persistent storage services to containerized applications.

HPE Alletra 9000 is ideal for mission-critical workloads with extreme latency and availability requirements.for mission-critical workloads with extreme latency and availability requirements. Enjoy a 100% data availability guarantee¹ and an all-NVMe architecture that delivers best-in-class performance density (over 2 million IOPS²) while HPE Alletra 6000 is fast, ultra-efficient infrastructure ideal for business-critical workloads with strict SLAs for availability and performance. This means you get resilient storage for your organization with app-aware intelligence, industry-leading data efficiency, and 6-nines availability guaranteed.³

Ready to learn more?

Read the following two technical papers to explore the integration of Charmed Kubernetes with HPE GreenLake for Block Storage. Follow step-by-step instructions for deployment – and obtain detailed guidance for using HPE Alletra Storage 9000 and HPE Alletra Storage 6000 as the back-end storage for Kubernetes persistent volumes.

•   Charmed Kubernetes integration with HPE Alletra Storage 9000 by Canonical and HPE
•   Charmed Kubernetes integration with HPE Alletra Storage 6000 by Canonical and HPE

As an IT professional or administrator, you can efficiently integrate Charmed Kubernetes with HPE GreenLake for Block Storage to create a resilient container orchestration infrastructure.

^{1 + 3 HPE Storage substantiation      2 Based on HPE internal testing}

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Meet Storage Experts blogger Parissa Mohamadi, Product Manager for Virtualization, Containers and Data Management Solutions, HPE

Parissa leads sales enablement and go-to-market planning for HPE virtualization, containers, and data management solutions, including cloud-enabled data protection for SAP HANA, Oracle, and SQL Server. She focuses on driving joint enablement and collateral development with partners such as VMware, Veeam, Commvault, and Cohesity. Connect with Parissa on LinkedIn.

Storage Experts
Hewlett Packard Enterprise

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