Sycomp Storage in Google Cloud: Architecture
  • Sycomp Storage
  • Introduction
  • Google Marketplace Solution
  • Deployment Models
  • Design Guidelines
  • Why Sycomp Storage?
  • About Sycomp
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  • Sycomp Storage Advantages
  • Sycomp Storage vs. Other Solutions

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Why Sycomp Storage?

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Last updated 1 year ago

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Sycomp Storage Advantages

  1. Easily deploy IBM Storage Scale optimized for your workload.

  2. Performance tuning best practices automatically applied.

  3. Access to technical advisors throughout the subscription term for monitoring and advice for your ever-changing workloads.

  4. Upgrade support for new versions of Sycomp Storage including upgrade testing to prevent issues.

  5. Seamless bidirectional data mobility from on-premises to cloud and cloud to cloud.

  6. Simplified deployment and maintenance via Sycomp developed and maintained tools.

  7. Fully managed option for Sycomp Storage.

  8. AFM Gateway configuration and tuning

Sycomp Storage vs. Other Solutions

Sycomp storage implements IBM Storage Scale, the industry leading clustered file system. There are many other file system solutions but none of them provide the range of features and time in the field of IBM Storage Scale.

Storage Scale features include:

  • Web based administration and monitoring.

  • Advanced storage features including directory level snapshots, file cloning, immutability, encryption, and data replication. These features are included with no additional software license fees.

  • On demand asynchronous data archive and retrieval from another Storage Scale cluster, an NFS server or public cloud object stores with Active File Management (AFM).

Sycomp Storage enhances Storage Scale

  • Deploy a cluster in minutes.

  • Expand a cluster in minutes, add storage or VMs.

  • Pay as you go pricing.

  • Google cloud integration

  • Choose the Google machine type and storage types that meet you capacity, performance and budget requirements.

Storage Scale web interface. Nodes page showing the list of nodes in the cluster and with aggregate server data rates and CPU utilization.
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