People who watch the numbers in corporate offices will go for this: A data center manager now can utilize a free online service to determine storage capital cost savings due to deduplication and have the dollars-saved information ready on demand if asked for it.
Storage management and disaster recovery provider Acronis on July 15 made available a new calculator that is designed to estimate the storage savings an organization could obtain using deduplication to improve storage capacities.
The calculator asks users for three pieces of information: the number of servers and workstations being backed up, the data change rate, and the overall cost of storage hardware and software. Based on this information, users can obtain accurate reports on how much storage space would be saved through deduplication, the dollar savings and the percentage of savings, Acronis Senior Director of Marketing Bob Thaler told eWEEK.
Acronis also has made available a second calculator, one that charts ROI for more general data center budget items, such as staffing, power and cooling, and resources.
“IT managers, if they’re not looking specifically for ROI in storage hardware and software or dedupe, but they are looking for ROI for disaster recovery or for overall ROI for time, money, people and resources, they’re both available free on our Website,” Thaler said.
“Secondly, if customers want to use it internally, or attach it to an e-mail and send it to a colleague and say, ‘Take a look at this, it’s a good starting point for assessing how we can save money,’ we can zip it up [in a Zip file] and make it a stand-alone module they can run on their own desktops,” Thaler said.
For example, a customer with 10 servers and 2TB of data that changes 5 percent per day and is kept for four weeks will save about $20,000 in storage costs annually, Thaler said.
Acronis’ latest product, Backup & Recovery 10, was released July 9.
Storage management provider Aptare offers a freely downloadable, informative whitepaper on storage ROI at this Website.
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Actualités récentes - Ressources Centres de ressourcesRessources en vedetteLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer? The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureDell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationBMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldGlobal-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Intelligence artificielle -
Vidéo -
Mégadonnées et analyse -
Cloud -
Réseau - Cybersécurité Cybersécurité
- Applications Applications
- Gestion IT Gestion IT
- Stockage Stockage
- Mobile Mobile
- Petites entreprises Petites entreprises
- Développement Développement
- Base de données Base de données
- Serveurs Serveurs
- Android Android
- Apple Apple
- Innovation Innovation
- Matériel informatique Matériel informatique
- Avis Avis
- Moteurs de recherche Moteurs de recherche
- Virtualisation Virtualisation
-
- Blogs Blogs
- Événements Événements