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Building a successful open source data infrastructure 

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Andrew Mills
Andrew Mills

A successful cloud data strategy is vital to thriving businesses. Cloud data strategy refers to the way that organizations use data within a cloud infrastructure; it covers everything from data collection to storage to security. These days, most organizations work across hybrid cloud environments and rely on open source solutions as part of their strategy.  

Open source technologies empower innovative companies to tackle the most complex challenges with agility and resilience and without vendor lock-in. Because of their unmatched flexibility, built-in community, and cost effectiveness, open source solutions have revolutionized the ways in which businesses manage their cloud data strategies. However, when it comes to implementation, open source solutions may present a few roadblocks. A managed solution with built-in security, seamless integration, and infrastructure monitoring can unlock the true power of open source for your business.

Why open source is essential for today’s cloud strategies

There’s a reason why open source is favored by the fastest-growing companies globally. Unlike proprietary alternatives, open source solutions bring unprecedented agility and community-powered development. It's like having an entire department of developers constantly contributing new features and fixes to solve problems quickly. 

Unlike many vendor-specific solutions, open source supports deployment across public, private, hybrid, and multicloud environments. This agility gives your organization the ability to build a robust cloud data strategy across hybrid environments and to set up workloads for easy scalability and data mobility. 

The challenges of managing open source internally

Although open source technologies offer opportunities, harnessing their full potential isn’t always straightforward. For IT teams, managing open source in house requires deep expertise in diverse tools and technologies that often change rapidly. Add the need for constant monitoring, system updates, and proactive security measures, and your team’s workload quickly becomes overwhelming, especially if it’s a small team that is responsible for the entire data infrastructure. 

Why managed platforms are the key

For organizations that are eager to harness the full potential of open source technologies without overburdening their teams, managed platforms like NetApp® Instaclustr offer a game-changing solution. With infrastructure monitoring and security fully handled by a managed service, you gain peace of mind while simplifying operations.

Here’s how managed platforms transform open-source management. 

  • Simplified deployment and scaling. Managed platforms automate the deployment, configuration, and scaling of open source applications in any environment, removing potential bottlenecks.
  • Enhanced security and compliance. With constant monitoring, vulnerability management, and proactive patching, your systems stay secure and compliant. 
  • Continuous monitoring. Managed platforms use sophisticated infrastructure monitoring tools to quickly detect anomalies and ensure optimized performance across complex hybrid or multicloud environments. 
  • Freedom to innovate. By alleviating operational stress, IT teams can focus on building applications that drive business outcomes instead of routine maintenance tasks and constant troubleshooting. 

Transform your data infrastructure

Open source solutions empower businesses to quickly build products, meet customer demands, and drive value. But managing open source tooling manually creates endless maintenance tasks and security risks. A managed open source platform like Instaclustr streamlines management, giving IT teams future-ready cloud data strategy.  

Gain peace of mind and unlock the full potential of open source with NetApp managed open source solutions.

Andrew Mills

Andrew Mills is senior solutions architect at NetApp Instaclustr with extensive experience in open source data solutions and a proven track record in integrating and managing open source data management technologies. He helps current and future NetApp customers with data-layer problems, as they venture into event-driven architecture or expand existing use cases.

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