IT Infrastructure needs are constantly fluctuating in a world where powerful emerging software applications such as artificial intelligence can create, transform, and remodel markets in a few months or even weeks. While the public cloud is a flexible solution, it doesn’t solve every data center need—especially when businesses need to physically control their data on premises. This leads to overspend— purchasing servers and equipment to meet peak demand at all times. The result? Expensive equipment sitting idle during non-peak times. For years, companies have wrestled with overspend and underutilization of equipment, but now businesses can reduce cap-ex and rein in operational expenditures for underused hardware with software-defined composable infrastructure. With a true composable infrastructure solution, businesses realize optimal performance of IT resources while improving business agility. In addition, composable infrastructure allows organizations to take better advantage of the most data-intensive applications on existing hardware while preparing for future, disaggregated growth.
Download this report to see how composable infrastructure helps you deploy faster, effectively utilize existing hardware, rein in capital expenses, and more.
The future of compute is in the cloud
Flexible, efficient, and economical, the cloud is no longer a question - it's the answer.
IT professionals that once considered if or when to migrate to the cloud are now talking about how. Earlier this year, we reached out to thousands of IT professionals to learn more about how.
Private Cloud, On-Prem, Public Cloud, Hybrid, Multicloud - each of these deployment models offers unique advantages and challenges. We asked IT decision-makers how they are currently leveraging the cloud and how they plan to grow.
Survey respondents overwhelmingly believed in the importance of a hybrid or multicloud strategy, regardless of whether they had actually implemented one themselves.
The top reasons for moving workloads between clouds
Remote work looks vastly different than it did just one year ago. In March 2020, tens of millions of workers around the world shifted to working from an office to working from home due to the global COVID-19 pandemic. We set off to find out how organizations were adjusting to remote work, specifically how desktop virtualization usage has contributed to or influenced that adjustment.
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When organizations abruptly shifted to remote work during the COVID-19 pandemic, they had to scale their network and security capabilities quickly. That meant snap decisions for many companies, deploying more of what they were already using, likely taking some shortcuts that left optimizing security and user experience for another day.
A new survey targeting IT decision makers polled more than 8,000 respondents across a range of industries about the security challenges that were uncovered as companies moved to remote work. This report discusses those challenges and how companies are planning to increase security as hybrid work models mature and become the norm.
The author of this Pathfinder report is Mike Fratto, a Senior Research Analyst on the Applied Infrastructure & DevOps team at 451 Research, a part of S&P Global Market Intelligence. Pathfinder reports navigate decision-makers through the issues surrounding a specific technology or business case, explore the business value of adoption, and recommend the range of considerations and concrete next steps in the decision-making process.
This report explores the following topics:
Kubernetes is the de-facto standard for container orchestration, and it’s being used by born-in-the-cloud startups and cloud-native enterprises alike. In 2021, Kubernetes was in production on-premises, in the cloud, and even at the edge for many different types of applications, including those that Kubernetes wasn’t initially built for.
Kubernetes was never really built for stateful applications and, by default, lacks features for data protection. However, we see many organizations building and running their stateful applications on top of Kubernetes, indicating there’s a gap in functionality between what Kubernetes offers and what the (enterprise) market wants.
Unfortunately, existing data protection tools, mostly built for legacy technologies such as virtual machines, do not fit well into the container paradigm. Vendors are adapting existing solutions or creating new products from scratch that are often better aligned with the cloud-native and container paradigms.
The market for cloud-native data protection is growing rapidly, with both incumbent vendors and challengers competing for completeness of features, and differences can be observed between those targeting more traditional infrastructure alignment and those aimed at fully cloud-native environments.
In any case, we see a growing need for flexible, adaptive solutions that can meet the changing requirements of their customers. Multi-platform, multi-cloud, multi-environment (including edge), multi-team, and self-service capabilities are quickly becoming differentiating features that ensure successful adoption, not for just one use case but for continuously changing use cases across the entire enterprise.
CloudCasa is the perfect example of this type of modern solution that can adapt quickly to changing business and technical needs. Designed to be Kubernetes native, it is a SaaS offering with a friendly licensing model that significantly eases the initial testing and adoption of the solution.