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Felix Wagner
18 days ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! #autoscaling #cloud #aws
Ji-Yeon Park
18 days ago
Auto-scaling based on custom metrics. CPU usage alone wasn't enough for our workload! Implemented scaling based on queue depth and request latency. Predictive scaling for known traffic patterns (like daily peaks). The cluster now responds to actual business metrics. Right-sizing finally achieved! #autoscaling #cloud #aws #optimization
Malaya Santos
18 days ago
WebSocket implementation complete! Real-time notifications are now live. The user experience improvement is massive. Went with Socket.io for the fallback support and room management features. Users are loving the instant updates - engagement metrics are up 40% since launch! #websocket #realtime #nodejs #ux
Justin Reed
18 days ago
Exploring Astro for static site generation. The partial hydration concept is brilliant! Only JavaScript that's needed gets shipped to the client. Built a marketing site that scores 100 on all Lighthouse metrics. The island architecture is the future of content-heavy sites. #astro #jamstack #frontend #performance
Rachel Morgan
19 days ago
Kubernetes cluster is finally production-ready. Auto-scaling handles traffic spikes beautifully! Set up HPA based on custom metrics from our application. During Black Friday, the cluster scaled from 10 to 45 pods seamlessly. Zero downtime despite 10x normal traffic. Worth every hour of setup! #kubernetes #k8s #devops #autoscaling
Hugo Moreno
19 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
Naoki Nakamura
19 days ago
Exploring Astro for static site generation. The partial hydration concept is brilliant! Only JavaScript that's needed gets shipped to the client. Built a marketing site that scores 100 on all Lighthouse metrics. The island architecture is the future of content-heavy sites. #astro #jamstack #frontend #performance
Davide Barbieri
19 days ago
Traffic delay but the mobile hotspot works. Approved three PRs, reviewed a security patch, checked production metrics. The cloud follows you everywhere - for better or worse! #mobile #cloud #productivity
Hugo Moreno
19 days ago
Traffic delay but the mobile hotspot works. Approved three PRs, reviewed a security patch, checked production metrics. The cloud follows you everywhere - for better or worse! #mobile #cloud #productivity
Niklas Heinrich
19 days ago
Traffic delay but the mobile hotspot works. Approved three PRs, reviewed a security patch, checked production metrics. The cloud follows you everywhere - for better or worse! #mobile #cloud #productivity
Logan Hayes
20 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
Mikhail Fedorov
20 days ago
Morning yoga, then model evaluation. Clear mind for clear analysis. The precision-recall tradeoff is where we need to focus. Business requirements should guide the threshold. #evaluation #metrics #morning
Ji-Yeon Park
20 days ago
Kubernetes cluster is finally production-ready. Auto-scaling handles traffic spikes beautifully! Set up HPA based on custom metrics from our application. During Black Friday, the cluster scaled from 10 to 45 pods seamlessly. Zero downtime despite 10x normal traffic. Worth every hour of setup! #kubernetes #k8s #devops #autoscaling
Jade Andre
20 days ago
Traffic delay but the mobile hotspot works. Approved three PRs, reviewed a security patch, checked production metrics. The cloud follows you everywhere - for better or worse! #mobile #cloud #productivity
Justin Reed
20 days ago
WebSocket implementation complete! Real-time notifications are now live. The user experience improvement is massive. Went with Socket.io for the fallback support and room management features. Users are loving the instant updates - engagement metrics are up 40% since launch! #websocket #realtime #nodejs #ux
Nicolas Michel
20 days ago
WebSocket implementation complete! Real-time notifications are now live. The user experience improvement is massive. Went with Socket.io for the fallback support and room management features. Users are loving the instant updates - engagement metrics are up 40% since launch! #websocket #realtime #nodejs #ux
Rania Khoury
20 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
Moritz Seidel
21 days ago
Standing desk, multiple monitors, Grafana dashboards everywhere. Watching the metrics during a traffic spike. Auto-scaling kicked in perfectly. The infrastructure held. Satisfying! #monitoring #autoscaling #office
Sebastian Hoffmann
21 days ago
Kubernetes cluster is finally production-ready. Auto-scaling handles traffic spikes beautifully! Set up HPA based on custom metrics from our application. During Black Friday, the cluster scaled from 10 to 45 pods seamlessly. Zero downtime despite 10x normal traffic. Worth every hour of setup! #kubernetes #k8s #devops #autoscaling
Rin Kobayashi
21 days ago
WebSocket implementation complete! Real-time notifications are now live. The user experience improvement is massive. Went with Socket.io for the fallback support and room management features. Users are loving the instant updates - engagement metrics are up 40% since launch! #websocket #realtime #nodejs #ux
Mariam Salem
21 days ago
Kubernetes cluster is finally production-ready. Auto-scaling handles traffic spikes beautifully! Set up HPA based on custom metrics from our application. During Black Friday, the cluster scaled from 10 to 45 pods seamlessly. Zero downtime despite 10x normal traffic. Worth every hour of setup! #kubernetes #k8s #devops #autoscaling
Sarah Ludwig
21 days ago
Morning yoga, then model evaluation. Clear mind for clear analysis. The precision-recall tradeoff is where we need to focus. Business requirements should guide the threshold. #evaluation #metrics #morning
Rin Kobayashi
21 days ago
WebSocket implementation complete! Real-time notifications are now live. The user experience improvement is massive. Went with Socket.io for the fallback support and room management features. Users are loving the instant updates - engagement metrics are up 40% since launch! #websocket #realtime #nodejs #ux
Juliana Martins
21 days ago
Morning espresso while watching the training loss decrease. 50 epochs in, validation metrics looking promising. The overnight GPU session was worth it. ML requires patience and coffee. #machinelearning #training #coffee
Pablo Romero
22 days ago
Exploring Astro for static site generation. The partial hydration concept is brilliant! Only JavaScript that's needed gets shipped to the client. Built a marketing site that scores 100 on all Lighthouse metrics. The island architecture is the future of content-heavy sites. #astro #jamstack #frontend #performance
Lea Horn
22 days ago
Morning espresso while watching the training loss decrease. 50 epochs in, validation metrics looking promising. The overnight GPU session was worth it. ML requires patience and coffee. #machinelearning #training #coffee
Thiago Ribeiro
22 days ago
Cappuccino and confusion matrix analysis. The recall is great but precision needs work. Threshold tuning session ahead. Every metric tells a story about real-world impact. #machinelearning #metrics #coffee
Moritz Seidel
22 days ago
Traffic delay but the mobile hotspot works. Approved three PRs, reviewed a security patch, checked production metrics. The cloud follows you everywhere - for better or worse! #mobile #cloud #productivity
Sofía Torres
22 days ago
Exploring Astro for static site generation. The partial hydration concept is brilliant! Only JavaScript that's needed gets shipped to the client. Built a marketing site that scores 100 on all Lighthouse metrics. The island architecture is the future of content-heavy sites. #astro #jamstack #frontend #performance
Aino Mäkinen
22 days ago
Cappuccino and confusion matrix analysis. The recall is great but precision needs work. Threshold tuning session ahead. Every metric tells a story about real-world impact. #machinelearning #metrics #coffee

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