Operations | Monitoring | ITSM | DevOps | Cloud

Originally written by Paul Stefanski, updated by Dylan Myers. Data costs fill a large column in many organizations' accounting sheets. Data pipeline setup and management is a significant time sink for DevOps, IT, and SRE. Setting up telemetry pipelines to reduce unwanted data often takes even more time, which could better be spent creating value rather than reducing costs. This post will show you how to quickly set up your data pipeline to filter unnecessary telemetry data.

Cloud outage resilience has quietly become the most important reliability topic of the year. Analysts now treat large scale cloud downtime as a matter of when, not if. Forrester has predicted at least two major multi day hyperscaler outages in 2026, and the reasoning is hard to argue with. AWS, Azure, and Google Cloud together account for well over half of enterprise cloud spending, so when any one of them stumbles, a huge slice of the digital economy stumbles with it.

Manufacturing organizations have spent years strengthening the systems, processes, and supply chains that keep production moving. Yet some of the disruption affecting operations begins in places that are much harder to see. A slow engineering workstation, inconsistent access to a production application, a login delay at shift change, or a device that needs repeated intervention may not look like a plant-wide outage, but each one can add friction to work that is already tightly sequenced.

The Optical Transport Network (OTN) is a widely deployed industry-standard protocol that provides a comprehensive framework for multiplexing, switching, and transporting diverse digital payloads over optical fiber. Modern service providers face growing pressure to consolidate diverse traffic types. OTN acts as a universal digital wrapper, encapsulating Ethernet, IP, SONET/SDH, and storage (Fibre Channel) traffic into a single, highly efficient transport layer.