StorageBlog101

  Accurate capacity planning is the bedrock of any resilient data protection strategy. In the realm of enterprise backup appliances , guesswork invariably leads to two unacceptable outcomes: wasteful over-provisioning of expensive storage arrays or, far worse, critical resource exhaustion during backup windows. The Veeam Calculator serves as a vital modeling tool for solution architects and storage administrators, transforming abstract requirements into concrete infrastructure specifications. While many leverage this tool for basic estimations, its true value lies in modeling complex scenarios for Veeam Backup & Replication (VBR) deployments. Mastering the nuances of this calculator allows IT professionals to design repositories that are not only compliant with retention policies but also optimized for high-performance recovery and long-term scalability. Understanding Veeam Calculator Metrics The output of any sizing tool is only as reliable as its input data. To utilize ...

  Data protection strategies have shifted significantly. The traditional approach of retrofitting legacy backup agents onto modern infrastructure often leads to performance bottlenecks and management complexity. For administrators managing multi-cloud or hybrid environments, the goal is finding a solution that offers native integration without the overhead of heavy agents. HYCU (Hybrid Cloud Uptime) has emerged as a distinct player in this space. It offers a purpose-built solution designed to align with the specific mechanics of the platforms it protects, such as Nutanix, VMware, Google Cloud, and Azure. This analysis examines the technical architecture of HYCU backup , focusing on its application-aware capabilities, hypervisor integration, and utility in complex disaster recovery scenarios. Engineering for Application Awareness A primary differentiator for HYCU is its purpose-built design. Unlike generic backup tools that treat all data as simple blocks, HYCU utilizes an app...

  In the realm of IT infrastructure, data loss is rarely a question of if , but when . Hardware degradation, malicious actors, and simple human error serve as constant threats to system availability. Consequently, a robust Disaster Recovery (DR) plan is not merely an insurance policy; it is a fundamental operational requirement. The 3-2-1 backup strategy has long served as the industry standard for data protection. While the concept is simple in theory, its execution within a complex enterprise environment requires sophisticated planning to ensure business continuity. This methodology provides a logical framework to eliminate single points of failure (SPOF) and ensure that data remains recoverable regardless of the failure scenario. Deconstructing the 3-2-1 Methodology The 3-2-1 rule is designed to mitigate risk through diversification. It addresses physical failures, logical corruption, and site-wide disasters simultaneously. Three Total Copies of Data The protocol dict...

  A significant disruption to Verizon's cellular infrastructure has highlighted critical vulnerabilities in carrier network resilience, affecting thousands of subscribers across the United States. While core connectivity has largely been restored following the initial outage, reports indicate persistent latency and intermittent service degradation for a subset of the user base. In response to the widespread service failure, Verizon has initiated a compensation protocol involving account credits. This analysis examines the technical scope of the ongoing disruption, the specifics of the remediation offer, and the broader implications for network reliability standards. Technical Scope of Ongoing Service Degradation The initial outage, which peaked earlier this week, resulted in a near-total loss of voice and data connectivity for subscribers in major metropolitan areas. While Verizon engineering teams have stabilized the core network backbone, edge connectivity remains volatile ...

  Enterprise data protection has evolved significantly beyond the limitations of legacy tape and disk-based targets. For infrastructure architects and data engineers, the focus has shifted from simple recovery point objectives (RPOs) to comprehensive cyber resilience and data observability. Rubrik has positioned itself at the forefront of this shift, moving away from the traditional job-centric backup model toward a declarative, policy-driven Cloud Data Management (CDM) platform. At its core, Rubrik utilizes a web-scale, shared-nothing architecture. Unlike legacy solutions that rely on a master-media server relationship—often creating bottlenecks and single points of failure—Rubrik’s distributed file system (Atlas) ensures that data, metadata, and tasks are distributed across the cluster. This architecture allows for linear scalability; as nodes are added, ingest performance and capacity increase in tandem, eliminating the "forklift upgrade" cycle common in tiered storage a...

  The Consumer Electronics Show (CES) 2026 served as a pivotal stage for Advanced Micro Devices (AMD) to unveil its latest architectural advancements in artificial intelligence. As the demand for generative AI and high-performance computing (HPC) continues to accelerate, semiconductor manufacturers face increasing pressure to deliver hardware capable of processing complex neural networks with greater efficiency. AMD’s keynote address at this year’s conference highlighted a strategic dual-pronged approach: enhancing client-side processing through next-generation AI PC chips and solidifying server-side dominance with robust data-center platforms. This year’s announcements underscore a significant shift in silicon design philosophy, moving beyond raw clock speeds to prioritize neural processing unit (NPU) throughput and thermal efficiency. For industry observers and enterprise stakeholders, these developments signal a maturing AI hardware ecosystem where specialized compute capabili...