Operations | Monitoring | ITSM | DevOps | Cloud

Traditional monitoring solutions provide valuable infrastructure metrics, they fundamentally lack the capability to understand what users actually experience. There is a significant technical gap between server-side metrics and client-side experience. Research shows that traditional monitoring fails to detect 52–68% of user-facing errors since they happen outside of the server infrastructure.

Disclosure: This comparison is written by our product marketing team that works closely with IT operations and on-call workflows. While we build incident alerting software ourselves, this guide is designed to help teams understand how different tools fit different operational needs. We believe there is no single “best” tool. Only the right fit for a given team.

Imagine sending a letter to your neighbour across the street, only for it to be routed through London or even Amsterdam before landing in their letterbox. This is effectively what happens to much of Scotland’s internet traffic. Despite physical proximity between users, businesses and services, digital data is frequently sent on needlessly long journeys, often leaving the country before reaching its destination.

Modern enterprises are generating more high-volume observability and security data than ever, which means the cost and complexity of getting analytics-ready data into Databricks are only growing. With the new Databricks Destination for Cribl Stream, organizations finally have a governed, scalable, and cost-efficient way to take full control of their data pipelines, accelerate AI-driven analytics, and unlock real business value from their Databricks investment.

IT leaders want AI that moves the needle without blowing up risk, cost, or changing control. Your teams need a path to productize AI features on top of existing apps, connect safely to external models, and satisfy audit requirements without slowing delivery. Those are the core buying criteria we hear from IT middle management: buy over build, predictable outcomes, and a strong compliance posture.

This blog is based on an Upsun livestream discussion featuring Guillaume Moigneu, Field Engineer, and Thomas di Luccio, Product Manager at Upsun. The conversation was moderated by Greg Qualls. We utilized AI tools for transcription and to enhance the structure and clarity of the content. When Black Friday approaches, the stakes are high for eCommerce businesses.

We’re thrilled to share the exciting news that Nexthink has been recognized as a Customers’ Choice in the inaugural 2025 Gartner Peer Insights Voice of the Customer for DEX Tools. In our view, what makes this recognition truly special is that it comes directly from the people who know our platform best – the IT leaders who use Nexthink every single day. Apart from this, we are recognised as a Leader in the Gartner Magic Quadrant for DEX Management Tools for the second consecutive year.

When your active time series is in the billions and the total number of data points you need to monitor runs into the tens of trillions, you need a high-performance observability solution with operational simplicity. Streaming behemoth Spotify is one such case. Their observability team chose VictoriaMetrics as the fastest monitoring and observability solution on the market.

FinOps teams have been expected to understand millions of dollars in cloud and AI spend using tools that a handful of (usually technical) specialists can operate. Dashboards, filters, exports, and SQL have been the norm. That era is over. CloudZero is now bringing AI directly into the FinOps workflow so anyone in the business can ask natural-language questions about cloud and AI spend, and get accurate answers back from the platform.