Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Block storage and file storage are two fundamental types of data storage architectures used in IT infrastructure. They are designed for different use cases and have distinct characteristics, which are outlined below: Block Storage Block storage is a low-level storage architecture where data is stored in fixed-size chunks called “blocks.” Each block is assigned a […]
Optimizing IT infrastructure for high-bandwidth workloads requires a strategic approach that focuses on network, storage, servers, virtualization, and application architecture. Here are detailed steps you can follow to achieve optimal performance: 1. Network Optimization Upgrade to High-Speed Networking Hardware Deploy high-bandwidth network switches and routers (e.g., 10GbE, 25GbE, 40GbE, or 100GbE). Use network interface cards […]
As an IT manager responsible for storage and IT infrastructure, understanding the differences between SAN, NAS, and DAS is crucial for making informed decisions about your organization’s storage needs. Here’s a breakdown of the three storage technologies and guidance on selecting the best option for your use case: 1. DAS (Direct-Attached Storage) Definition: DAS refers […]
Configuring your IT infrastructure to support hybrid AI/ML workloads is a critical task that requires careful planning, the right technologies, and a scalable architecture. A hybrid AI/ML workload refers to workloads that may run across both on-premises infrastructure and public cloud environments. Below are the key steps to achieve this: 1. Assess Your Requirements Workload […]
Setting up automatic backups for your servers is critical to ensure data protection and disaster recovery. Below is a step-by-step process for implementing automatic backups: Step 1: Define Backup Requirements Understand What to Backup: Decide which data, applications, databases, and system configurations are critical. Prioritize files, application data, OS configurations, virtual machines, and databases. Define […]
Implementing IT infrastructure for AI/ML pipelines involves designing and deploying a robust, scalable, secure, and efficient environment to support data processing, model training, inference, and storage needs. Here’s a step-by-step guide tailored for your role: 1. Assess Business Requirements Understand AI/ML use cases: Identify the goals, datasets, and expected workloads (e.g., training, inference, batch processing, […]
