Amazon FSx for Lustre Reviews

Servers.com by Nexcess specializes in hybrid bare metal cloud infrastructure that combines dedicated server performance with the flexibility of modern cloud environments. The company offers multiple hosting solutions, including Scalable Bare Metal, Enterprise Bare Metal, AI Compute, and Managed Kubernetes, allowing businesses to choose the resources that best fit their workloads. Its platform is designed to simplify infrastructure management while delivering the reliability required for business-critical applications. With access to a globally distributed network of data centers, organizations can improve application delivery and reduce latency for customers in key markets worldwide. Servers.com supports a broad range of industries, including gaming, fintech, adtech, streaming, iGaming, SaaS, and Web3. The infrastructure is optimized to accommodate both predictable workloads and sudden increases in demand. Dedicated bare metal resources provide enhanced performance, security, and workload isolation compared to shared environments. GPU-powered computing options enable organizations to support artificial intelligence and machine learning initiatives with greater efficiency. Managed Kubernetes services help businesses deploy and manage containerized applications without the complexity of maintaining underlying infrastructure. High-capacity networking and direct carrier connectivity contribute to consistent application performance and availability. By combining scalability, customization, and global reach, Servers.com helps organizations build infrastructure capable of supporting long-term growth and evolving technical requirements.

Files.com is a cloud-native Managed File Transfer (MFT) platform that unifies file transfers, sharing, and automation across any cloud, protocol, or partner. It connects 50+ storage systems — including Amazon S3, Azure, Google Drive, SharePoint, Dropbox, and Box — presenting them as a single seamless namespace. ​ Files.com supports SFTP, FTP/FTPS, AS2, HTTPS, WebDAV, and REST APIs, making it compatible with virtually any system or partner. Automated workflows eliminate manual scripts and reduce admin overhead by up to 90%. ​ Enterprise-grade security includes AES-256 encryption, SOC 2 Type II certification, HIPAA/GDPR compliance, full audit trails, SSO (Okta, Azure AD, and more), and 2FA. With a 99.99% uptime history and zero data breaches in 15 years, Files.com is trusted by IT teams in finance, healthcare, and technology. Available via web, desktop (Windows/macOS), mobile (iOS/Android), and on-premises agent (Windows/macOS/Linux)

Amazon Elastic Block Store (EBS) provides a highly efficient and intuitive block-storage solution designed specifically for Amazon Elastic Compute Cloud (EC2), effectively supporting both high-throughput and transaction-heavy applications across a wide range of scales. Its versatility allows for a variety of workloads to be accommodated, including both relational and non-relational databases, enterprise applications, containerized environments, big data processing tools, file storage systems, and media production tasks. Users have the option to choose from six different volume types, enabling them to achieve the optimal balance between cost efficiency and performance. With EBS, it is possible to attain single-digit millisecond latency for demanding database applications such as SAP HANA, while also maintaining gigabyte-per-second throughput for large, sequential operations typical of Hadoop. Furthermore, users can effortlessly change volume types, enhance performance, or increase volume size without any disruptions to critical services, guaranteeing that an economical storage solution is perpetually accessible. This adaptability and reliability make Amazon EBS a prime choice for organizations aiming to refine their storage capabilities in response to changing requirements, thus facilitating seamless scalability as business needs evolve. The robust features of EBS empower users to confidently manage their data storage, ensuring optimal performance under diverse workloads.