Modernization: Storage Strategies for the Cloud Era
The modern data center has continuously evolved, adapting to the new demands of cloud-based and performance-demanding applications. This journey is particularly evident in data storage, where each stage has introduced technologies and approaches to enhance efficiency, performance and scalability. The present era is the latest chapter in this ongoing story, driven by the unique demands of cloud-based applications and the digital age.
Source: Lightbits Labs.
It would be accurate to say that several catalysts have driven the acceleration of the pace and scope of storage evolution in the data center: the explosion of data, the demand for agile and scalable IT, the rise of cloud computing and the increasing pressure on IT to architect and build a platform that enables personalized customer experiences.
In its present-day reality, cloud-based applications are causing platform architects to rush to rearchitect their data centers. This is especially urgent in industries like financial services where real-time data analysis is crucial for fraud detection and personalized financial advice, e-commerce that requires dynamic scalability to enable a seamless online customer experience, cloud or managed service providers that need highly available and resilient infrastructure, and for biotech and pharma that seek to innovate faster and reduce the time to market for improved patient outcomes.
Modern storage systems in these sectors can unlock significant business benefits: increased agility and faster time to market, improved operational efficiency and reduced costs, enhanced security and compliance and the ability to innovate and create new revenue streams. For these sectors, data center architecture isn’t just about keeping up; it’s about thriving in a hyper-competitive landscape.
As you can see from the timeline above, software-defined storage (SDS) has emerged in the past decade-plus as a key enabler of cloud modernization. Fundamentally, SDS enables agility and automation within the data center’s storage infrastructure. It acts as a critical bridge, allowing storage to become a dynamic, programmable and scalable resource that can keep pace with the demands of modern data-intensive workloads, supporting the demands of the digital age. Here are four steps to storage modernization for platform architects that seek to remove all the drama the term evokes.
1. Embrace Software-Defined Everything
SDS is the cornerstone of the modern data center. Evaluate and implement SDS solutions that offer the flexibility, scalability and automation you need. SDS decouples storage hardware from the software, allowing for greater flexibility and avoiding vendor lock-in. With it, you’re no longer tied to specific hardware features or upgrade cycles.
Seek SDS solutions that integrate seamlessly with your hypervisor or containerization platform.
2. Automate, Automate, Automate
Manual processes increase OPEx and are a major drag on efficiency. Automate provisioning, configuration, management and monitoring of your IT infrastructure. This frees up your team to focus on higher-value tasks and more strategic initiatives. Explore tools for Infrastructure as Code (IaC) and orchestration platforms, such as OpenShift Virtualization.
SDS enables the automation of storage provisioning, management and operations. Tasks that were previously manual and time-consuming can be automated through software APIs and policies. This is crucial for responding quickly to changing business needs.
3. Optimize for Cost Efficiency
No organization has unlimited resources, and data center modernization initiatives must deliver a return on investment. Clearly defined, measurable objectives for cost-efficiency are crucial for guiding your transformation journey and measuring success. For example, “Reduce storage costs by 20% within 12 months” is a more effective objective than “Modernize storage.”
By improving resource utilization and storage capacity, automating operations, reducing hardware costs and avoiding proprietary storage systems vendor lock-in, SDS can contribute to significant cost savings and efficiency in storage infrastructure.
4. Architect for Agility and Flexibility
Agile and flexible data centers can easily scale resources up or down based on demand, enabling the rapid provisioning and deployment of new applications and services while at the same time avoiding over-provisioning, leading to cost savings and improved efficiency.
SDS simplifies storage management, automating provisioning, management and operations, allowing for the rapid deployment of new resources. Seek solutions that support a variety of diverse application requirements while also integrating seamlessly with different hypervisors, orchestration systems and cloud platforms.
Modernization isn’t a one-time event; it’s an evolutionary process that’s happening right now in your data center. There’s no drama, but an accelerated pace of change fueled by the explosion of data, the demand for agile IT, the rise of cloud computing and the imperative to deliver personalized customer experiences is putting pressure on platform architects.
This urgency is particularly acute in sectors like financial services, e-commerce, cloud services and biotech/pharma, where digital transformation is no longer an option but a necessity for competitive advantage.
By leveraging SDS, you can build a data center infrastructure that is agile, flexible and responsive to the needs of the business, enabling your organization to accelerate innovation, improve time to market and gain a competitive advantage in the digital age.
For organizations committed to modernizing their data center with open source orchestration platforms like Kubernetes and are looking for software-defined storage to optimize their infrastructure, we recently published a data center reference design that could prove useful in your initiative: “Kubernetes Storage Solutions for High-Performance Block Workloads.”
