Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Cloud File Data Storage Consolidation and Economic Comparison Model

DZone's Guide to

Cloud File Data Storage Consolidation and Economic Comparison Model

Take a look at this report that compares the economic affect of the deciding between a distributed file server and cloud platforms for data storage.

· Cloud Zone ·
Free Resource

Learn how to migrate and modernize stateless applications and run them in a Kubernetes cluster.

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 with 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.

Read more in this Server StorageIO Industry Trends and Perspective (ITP) Report.

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 approach.

Ok, nuff said, for now.

Cheers,

GS

Join us in exploring application and infrastructure changes required for running scalable, observable, and portable apps on Kubernetes.

Topics:
serverless ,data infrastructure ,cloud ,data center ,cloud storage ,data protection ,pace ,resource allocation

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}