Cluster idles at 8 % yet the bill soars? Learn how Prometheus data + KRR, a 50-line Python wrapper, Grafana and ArgoCD reclaimed 500 vCPU and 200 GiB across dozens of Kubernetes clusters—no magic, no incidents, just rightsizing done right.
Strapping a Raspberry Pi Zero to my wrist, I built the "PiSpot Watch"—a chunky, lovable smartwatch that briefly challenged the Apple Watch, at least in spirit. From learning FreeCAD and 3D-printing cases, to battling hardware quirks and automating deployments with Ansible—this was my IoT odyssey.
Managing updates isn't trivial; it's a complex, rewarding challenge. Upgrade management at scale involves orchestrating updates across Kubernetes clusters and workloads. While automation aids efficiency, the true art lies in understanding client needs and ensuring seamless, invisible upgrades.
When our CTO declared it "impossible" to know how WiFi users connected across our messy network, I took it as a personal challenge. However, looking back now, I ponder over how much better my decisions could have been with proper mentorship.
As an intern in 2015, I automated provisioning and streamlined CPE deployments, combining DHCP66, TR-069, R, Python, and Selenium. Turns out Bill Gates was right—the best "lazy" engineers put extra effort into smart solutions upfront, saving countless hours down the line.
