Operations | Monitoring | ITSM | DevOps | Cloud

AI coding assistants have quickly become part of everyday development. Teams now rely on them to explain unfamiliar code, suggest configuration files, debug errors, and accelerate delivery across the stack. But as these tools move from experimentation into real production workflows, a consistent pattern is emerging: AI breaks down at the platform boundary.

As IT organizations enter 2026, many of the assumptions around monitoring and observability have already been tested. Throughout 2025, infrastructure teams made it clear that visibility alone is not enough. Alerts without context, short data retention, and fragmented tools limited teams’ ability to explain behavior, validate changes, and plan with confidence. This article looks at what emerged from those experiences and how observability expectations continue to shift.

Discover how Qovery bridges the gap between developers and infrastructure with a "security by design" approach. From federated identities and unique encryption keys to real-time audit logs and SOC2 Type 2 certification - see how we protect your data while eliminating vendor lock-in.

In this article, we’ll show how easy it is to send custom application metrics directly to MetricFire's public carbon endpoint. We’ll build a small Flask application, emit a handful of practical metrics, and generate local traffic to demonstrate how quickly meaningful data can flow from your code to your dashboards.