Netflixhas given its recommender system a makeover with a foundation model similar toLLMs. The goal? Turbocharge efficiency and scalability by making member preferences the star of the show. They turned user interactions into tokens, kind of like BPE in NLP, and employedsparse attentionto zero in on.. read more  

Kubernetes v1.33unleashesvolume populatorsfor all to enjoy. Custom resources now power data sources. Say goodbye to pesky resource leaks, mishmash configurations, and sleepy metrics. Prepare for a wild ride of flexibility... read more  

North American Kubernetes salariestook a 6% nosedive, settling at an average$165,288. Meanwhile, Europe enjoyed a tidy 4% uptick. Remote work? Holding steady at68%. No surprise—Pythonremained the darling of coding languages, getting a nod in62%of job posts, whileDockerwasn't far behind, gracing57%of.. read more  

CKANfaced a barrage: 60 requests per second, courtesy of some mischief-maker in Brazil. EnterAnubis. With its SHA256 challenge, it cut through the chaos like a hot knife through warm Brazilian pão de queijo. Now, plugging Anubis intocaddy-docker-proxypractically did itself. The proxy auto-configures.. read more  

Kubernetes drops ephemeral KSA tokens into the mix for image pulls, putting long-lived credentials in the rearview mirror. Granular access? Absolutely rocks. Compliance? Consider it handled... read more  

K3s reconciler threw a fit. A botched YAML reformat doubled up resources and obliterated the author’s cluster, courtesy of the clumsy hands of language models. It’s a vivid postcard from the island of LLM limitations. Luckily, Hetzner’s system rebuild stepped in to save the day. But it wasn’t painle.. read more  

Kubernetes v1.33 rolls in a snazzy beta feature: control over supplemental group merging in containers. It sharpenssecurityby exposing those sneaky implicit GIDs. But don't get too cozy—this power comes with strings. You’ll need CRI runtimes that play nice, or your pods will get the boot on unsuppor.. read more  

Premature microservicesare like planting seeds in concrete. They'll stall your startup's momentum. A monolith is your friend here—simple, reliable, with the vast realm of open-source at your disposal. A crispmonorepotightens team synergy and sidesteps the quagmire of complexity, unlike those headach.. read more  

Uber tossed manual ML resource wrangling for a slick Kubernetes-Ray duo, amping up scalability and slashing inefficiencies.With dynamic resource pools, elastic sharing, and smart scheduling, they rev up utilization and demolish GPU waste—no micromanaging required... read more