From ML Pipelines to Production: 6 Lessons from Senior AI Engineers

ML pipelines to production

Every machine learning engineer eventually encounters this challenge: a model that performs perfectly in a notebook often fails in production. The problem isn’t the algorithm itself; it’s everything surrounding it. In a lab environment, data is clean, schemas are consistent, and dependencies remain stable. However, in a production environment, data changes daily, infrastructure evolves, and … Read more

Catchpoint at Cloud Field Day 22: Why IPM Matters

Catchpoint’s story grabs you from the start. The team launched in 2008, spun out of Google after the DoubleClick deal, so they built their platform on real‑world experience. At Cloud Field Day 22, they showcased how Internet Performance Monitoring (IPM) links every metric to actual user impact. What Is IPM? IPM goes beyond raw network … Read more

Kubernetes: A Love Letter to Complexity (or a Hatred for Cloud Chaos)

Kubernetes has become the tool that simultaneously solves everything and creates a pile of problems you didn’t know you had. If you’ve spent any time managing infrastructure in the last five years, you’ve either built a shrine to it or cursed its existence. There is a very active Hacker News thread underway that dives straight … Read more

Juniper Networks at Cloud Field Day 18

Cloud Field Day 18 is here and Juniper is kicking off a packed couple of days of exciting presentations. Juniper Networks has been making some strong innovative moves over recent years. The purchase of Apstra in 2020 has become a core story for data center and cloud networking portfolio. Cloud Automation is Not a Goal. … Read more

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