Is the multi-cloud here to stay and are enterprises really adopting this strategy? ESG’s IT Spending Intentions survey shows that 81% of current public cloud infrastructure customers use multiple CSPs and 53% expect the number of unique CSPs they use to increase over the next three years.

The proliferation of multiple cloud providers is far from being a point-in-time statistic and it is manly driven by companies’ desire to identify the cloud provider that best fits each application and workload.

Join Edwin Yuen, ESG Senior Analyst for Data Protection and Yesica Schaaf, Senior Director, Veeam® Cloud Marketing in the discussion of Availability in multi-cloud environments to learn more about:

• Current and upcoming trends in multi-cloud adoption, as well as considerations driving these market shifts
• Challenges associated with increased IT complexity and multi-cloud deployments
• How Veeam is helping its customers address multi-cloud and Data Availability: South Oregon University, Goodwill, Columbia Power & Water Systems and Movius
• And much more!

All-flash technology is the way of the future. Performance matters, and flash is fast—and it is getting even faster with the advent of NVMe and SCM technologies. IT organizations are going to continue to increase the amount of flash storage in their shops for this simple reason.

However, this also introduces more complexity into the modern data center. In the real world, blindly deploying all-flash everywhere is costly, and it doesn’t solve management/operational silo problems. In the Enterprise Strategy Group (ESG) 2018 IT spending intentions survey, 68% of IT decision makers said that IT is more complex today than it was just two years ago. In this white paper, ESG discusses:

•    The modern data center challenge
•    Buying considerations before your next flash purchase
•    The value of storage infrastructure independence and how to obtain it with software-defined storage

ESG research recently uncovered that 66% of organizations view their IT environments as more or significantly more complex than they were two years ago. The complexity will most likely increase, since 46% of organizations anticipate their network infrastructure spending to exceed that of 2018 as they upgrade and expand their networks.

Large enterprise and service provider networks consist of multiple device types—routers, switches, firewalls, and load balancers—with proprietary operating systems (OS) and different configuration rules. As organizations support more applications and users, their networks will grow and become more complex, making it more difficult to verify and manage correctly implemented policies across the entire network. Organizations have also begun to integrate public cloud services with their on-premises networks, adding further network complexity to manage end-to-end policies.

With increasing network complexity, organizations cannot easily confirm that their networks are operating as intended when they implement network and security policies. Moreover, when considering a fix to a service-impact issue or a network update, determining how it may impact other applications negatively or introduce service-affecting issues becomes difficult. To assess adherence to policies or the impact of any network change, organizations have typically relied on disparate tools and material—network topology diagrams, device inventories, vendor-dependent management systems, command line (CLI) commands, and utilities such as “ping” and “traceroute.” The combination of these tools cannot provide a reliable and holistic assessment of network behavior efficiently.

Organizations need a vendor-agnostic solution that enables network operations to automate the verification of network implementations against intended policies and requirements, regardless of the number and types of devices, operating systems, traffic rules, and policies that exist. The solution must represent the topology of the entire network or subsets of devices (e.g., in a region) quickly and efficiently. It should verify network implementations from prior points in time, as well as proposed network changes prior to implementation. Finally, the solution must also enable organizations to quickly detect issues that affect application delivery or violate compliance requirements.