💥 Launching Quanton Kubernetes Operator for Apache Spark Spark on k8s hitting 33% adoption—trailing Databricks (47%)—but perf tradeoffs sting. 🛑 It standardizes compute with observability/security, cutting costs 50-70% via discounts. 💸 Catch? Vanilla OSS Spark—slow jobs, endless OOMs/shuffle tuning. 😩 Tradeoff: - Managed: Fast, but locked/pricey - k8s: Open/cheap, but ops brutal Our operator drops in: ⚡ 3-4x boosts 🔁 No code changes 🧠 Fewer failures 💰 Runtime savings Same cluster, smarter runs. 🚀 #ApacheSpark #Kubernetes #DataEngineering

Full launch blog + how to try it locally first on minikube, before touching production: 👉onehouse.ai/blog/introduci…

@byte_array 3-4x boosts, nice. how handle peak shuffle pressure?