We explore what colocation data centers are, the trends driving their adoption, their benefits, and how Megaport can underpin your colocation strategy. Table of Contents.
The data center industry’s rapid evolution requires innovative tools to address its ever-changing demands. Cloud-based Data Center Infrastructure Management (DCIM) solutions have emerged as a powerful alternative to traditional on-premise systems, offering unmatched scalability, cost savings, real-time monitoring, and AI-driven insights.
In a perfect leaf-spine network, traffic evenly spreads across all links. But reality is often different, leaving costly, idle paths hidden in your data center fabric. Kentik's Phil Gervasi demonstrates how Kentik's network intelligence platform helps engineers quickly identify and address these underutilized paths. With powerful visualizations, detailed telemetry analysis, and customizable alerts integrated into your ticketing systems, Kentik makes it easy to spot persistent traffic imbalances, troubleshoot ECMP issues, and optimize your infrastructure.
Kentik transforms real-time network telemetry into actionable alerts for AI-optimized data centers. By converting database queries into custom alerts, engineers can detect issues like elephant flows, idle links, and packet loss before performance suffers and triggers alerts in systems like ServiceNow or PagerDuty.
Note: As of publication, NVIDIA has not released final specifications for the GB300 NVL72. The details shared here are based on projections informed by GB200 benchmarks, industry analysis, and expected generational improvements. As the AI arms race accelerates, data center professionals are already preparing for what’s next: the anticipated NVIDIA GB300 NVL72.
As power-hungry workloads like AI and HPC become the norm, data centers face mounting pressure to rethink their thermal strategies. Traditional air cooling has long been the industry standard, but with rising rack densities and energy costs, many operators are exploring liquid cooling as a more efficient alternative. In 2024, the global liquid cooling market was valued around $4.18 billion and is projected to reach $13.2 billion by 2029.
Managing evolving IT ecosystems is no small feat. Here’s what today’s data center managers are up against: These challenges are propelling the evolution of DCIM from a “nice-to-have” to an essential pillar of enterprise digital strategy.
Hyperview 5.0 introduces a powerful new AI Assistant (Beta) to help users navigate the platform, run reports, and complete tasks faster. The release also features a redesigned search experience with improved speed, shortcuts, and a docking option for multitasking. Additional enhancements include streamlined asset editing, smarter alerting rules, expanded auto-discovery support, and new API endpoints — all aimed at improving efficiency, accuracy, and user experience across the board.
Modern data centers generate enormous volumes of telemetry from servers, switches, cooling systems, power infrastructure, and environmental sensors. Operations engineers must capture, store, and analyze this data in real-time to monitor uptime, maintain energy efficiency, and perform predictive maintenance using AI. Legacy monitoring systems struggle to meet today’s volume, cardinality, and latency demands.
Historically, data center professionals have managed their sites using traditional tools like Excel and Visio. While manual spreadsheets and diagrams served their purpose for simple tasks, they were never designed for the complexity, scale, or speed of modern data center operations. However, Data Center Infrastructure Management (DCIM) software is purpose-built to plan, provision, model, track, and monitor all infrastructure across all sites.