Operations | Monitoring | ITSM | DevOps | Cloud

This guest blog post is authored by Dieter Matzion, a seasoned cloud practitioner who has operated exclusively in public cloud environments since 2013, with experience at leading technology companies including Google, Netflix, Intuit, and Roku. Custom metrics play a crucial role in enabling teams to monitor their applications and businesses. The flexibility of these metrics allows engineers to measure what matters most to their domain.

Early-stage engineering teams ship fast and learn in production. While speed is a competitive advantage, it can also lead to a high volume of noisy signals, like stack traces, timeouts, and dashboards full of red. Some of those problems can affect your users and revenue, but many don’t.

Holiday shoppers are notoriously impatient, and in 2025, they’re increasingly impatient when it comes to slow websites. Keywords like “website downtime tracking” and “ecommerce site reliability” are often trending because businesses are realizing that slow is the new down. This holiday season, the goal is to safeguard your website against business-critical slowdowns without adding “manual monitoring” to your already busy plate.

In 2025, Elastic and Google Cloud created a powerhouse of AI-driven insights, providing an end-to-end search, observability, and security journey for our joint customers. We continue to partner on many opportunities for success and have made even further progress this year to empower all our users, especially around generative AI (GenAI). This blog highlights our collaboration with Google Cloud to help you harness the power of data at scale as well as our top moments from Google Cloud Next ‘25.

2025 was a landmark year for VictoriaMetrics — defined not only by product improvements, new capabilities, and wider adoption, but by a strong and consistent presence across the global open-source and cloud-native ecosystem. Our mission has always been clear: to build open-source monitoring and observability solutions that are simple, reliable, and efficient for metrics, logs, and traces.