Operations | Monitoring | ITSM | DevOps | Cloud

Coherent optics is an advanced optical transmission technology that uses the modulation of light amplitude and phase, combined with digital signal processing, to transmit massive amounts of data over existing fiber optic cables, dramatically increasing network capacity by maximizing spectral efficiency without requiring new physical fiber deployments. Next-generation transport networks face a constant challenge: scaling capacity to keep up with relentless data growth.

Guest post by Markus Opolka, Senior Consultant at NETWAYS. Originally published on the NETWAYS blog as “Icinga und Prometheus integrieren” and “Alertmanager-Icinga-Bridge – Ein Signalilo Fork”, combined and adapted for the Icinga blog with permission. Icinga and Prometheus are both great monitoring solutions, however, their focus is different. In this article, we look at how to integrate both monitoring systems and utilize the strengths of both tools.

In July’s episode of This Month in Datadog, Ruxanda Lueck joins Jeremy for a conversation about how you can confidently evaluate and release features that contain AI-generated code. She also discusses her career trajectory from containers to AI, how agentic workflows impact trust during feature development, and the challenges of testing nondeterministic agent behavior.

Python is the native language of AI-assisted development. Models are really good at writing it, and a lot of people are now shipping it without ever having written much Python themselves. The whole thing is really simple. You prompt an app, Claude Code or Cursor produces a working Flask or FastAPI backend, and you’re live in a few hours. However, there’s still a big difference between “it works on my machine” and “it works in production”.

The hidden cost of multicloud lives in operations and governance. Each provider develops its own console, runbooks, and audit posture, and the gaps widen quietly. The bill comes due at the next migration, audit, or incident.

Software supply chain engineering has reached a critical inflection point. As autonomous AI coding agents transition from generating autocomplete suggestions to planning, writing, reviewing, and deploying entire software pipelines without humans in the loop, the connection between human intent and production binaries is fracturing.

When a Terraform run feels slow, most teams are flying blind. The run log in HCP Terraform tells you what happened, but not what took so long—and it certainly doesn't roll up across hundreds of runs so you can spot a trend.

Impossible travel and new-country sign-in alerts are famously noisy. The reasons why, the difference between the Entra ID and SharePoint signals, and what separates a real account takeover from proxy egress.

On-call burnout is no longer a fringe complaint. It is one of the loudest signals in the 2026 reliability data. A wave of fresh industry research this year points to the same uncomfortable conclusion: the people who keep systems running are running on empty. In the DuploCloud 2026 AI and DevOps Report, 47 percent of engineers said DevOps overload contributes to burnout, with on-call rotations and repetitive maintenance singled out as primary culprits.