Cloud File Data Storage Consolidation and Economic Comparison Model #blogtobertech
The following is a new Industry Trends Perspective White Paper Report titled Cloud File Data Storage Consolidation and Economic Comparison Model.
This new report looks at Distributed File Server and Consolidated Cloud Storage Economic Comparison with a fundamental economic comparison model for remote (on-prem) distributed file-servers and cloud storage consolidation decision-making. IT data infrastructure resource (servers, storage, I/O network, hardware, software, services) decision-making involves evaluating and comparing technical attributes (speeds, feeds, features) of a solution or service. Another aspect of data infrastructure resource decision-making involves assessing how a solution or service will support and enable a given application workload from a Performance, Availability, Capacity, and Economic (PACE) perspective.
Keep in mind that all application workloads have some amount of PACE resource requirements that may be high, low or various permutations. Performance, Availability (including data protection along with security) as well as Capacity are addressed via technical speeds, feeds, functionality along with workload suitability analysis. The E in PACE resource decision-making is about the Economic analysis of various costs associated with different solution approaches.
Where to learn more
Learn more about Clouds and Data Infrastructure related trends, tools, technologies and topics via the following links:
- Not Dead Yet Zombie Technology (Declared Dead yet still alive) October 2018 Update
- Application Data Value Characteristics Everything Is Not the Same (Part I)
- PACE your Server Storage I/O decision-making, it’s about application requirements
- What is DFR or Data Footprint Reduction?
- Cloud conversations: confidence, certainty, and confidentiality
- Trick or treat: 2011 IT Zombie technology poll
- Buzzword Bingo and Acronym Update V2.011
- Trick or treat: Have you seen any IT Frankenstacks
- Industry adoption vs. industry deployment, is there a difference?
- The blame game: Does cloud storage result in data loss?
- Trick or treat and vendor fun games
- Trick or Treat – Either way, Be Safe!
- Welcome to the Data Protection Diaries
- Next Generation Hybrid Software Defined Data Infrastructures Are In Your Future #blogtobertech
- Ten tips to reduce your cloud compute storage costs #blogtobertech
- Don’t Stop Learning Expand Your Skills Experiences Everyday #blogtobertech
- Data Infrastructure server storage I/O network Recommended Reading
- Data Infrastructure Server Storage I/O Tradecraft Trends
- Data Infrastructure Overview, Its What’s Inside of Data Centers
- Which Enterprise HDD to use for a Content Server Platform
- The SSD Place (SSD, NVM, PM, SCM, Flash, NVMe, 3D XPoint, MRAM and related topics)
- The NVMe Place (NVMe related topics, trends, tools, technologies, tip resources)
- Data Protection Diaries (Archive, Backup/Restore, BC, BR, DR, HA,Replication, Security)
- If NVMe is the answer, what are the questions?
- NVMe Primer (or refresh), The NVMe Place, The SSD Place, and the Object Storage Center
Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.
What this all means
When comparing and making data infrastructure resource decisions, consider the application workload PACE characteristics. Also keep in mind that PACE means Performance (productivity), Availability (data protection), Capacity and Economics. This includes making decisions from a technical feature, functionality (speeds and feeds) capacity as well as how the solution supports your application workload. Leverage resources including tools to perform analysis including Cloud File Data Storage Consolidation and Economic Comparison Model approaches.
Ok, nuff said, for now.
Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2018. Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.
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