Operations | Monitoring | ITSM | DevOps | Cloud

As colocation demand surges, space is becoming increasingly scarce and costly. According to CBRE, the average asking rate in primary wholesale colocation markets for a 250–500 kW requirement has climbed 12.6% year-over-year to a record $184.06 per kW/month, while vacancy rates have dropped to a record-low 1.9%. With vacancy rates low and power costs rising, doing more with less in your data center is essential.

For the last decade, Gremlin has helped Fortune 500 organizations with critical uptime requirements proactively uncover reliability risks and prevent costly outages. We started with Chaos Engineering, then built Reliability Management to help teams standardize and scale their testing efforts. Today, we take another leap forward with the release of Reliability Intelligence. Reliability Intelligence draws on Gremlin expertise with each test to show you what happened and recommend remediation.

Your application is under constant pressure to deliver low latency, high reliability, and a smooth user experience isn’t optional. When performance drops, every second matters. Application Performance Monitoring (APM) gives you the visibility to spot issues before your users feel the impact. It also helps you understand what’s happening inside your stack, so you can track resource usage, pinpoint bottlenecks, and keep things running at peak performance.

Protect your network traffic from cloud, edge, or branch with Megaport’s new IPsec add-on for Megaport Cloud Router. If you’re managing a network across public cloud, private cloud, branch offices, disaster recovery sites, or remote endpoints, you’ve probably asked the question: How can I secure this entire environment without adding more hardware or complexity?

The release of OpenAI’s new open-source model, GPT-OOS, has sparked a wave of excitement across the AI community. And rightly so. For organizations that want the benefits of generative AI without sending data out to the web, this is a compelling option. Running locally, GPT-OOS offers a level of privacy, control, and cost-efficiency that’s hard to ignore. It’s fast, lean and at least in its early benchmarks, surprisingly capable in coding, math, and STEM-heavy workloads.

Data sovereignty isn’t just a niche consideration anymore – it’s a central requirement in everything from cloud computing and analytics to software development. The environment of 2025 is significantly different from that of 2015, and even more so from 2005. What was once a patchwork of guidance documents, data privacy laws, and local regulations has given way to massive EU-wide regulations, multinational frameworks, and a greater focus by users on digital identity.