Engineering for Volatility: Prepping My Java/Vue3 Dashboard for "NFP Week"

Hey Devs, Osborne here. If you work with financial APIs or real-time data streams, you probably know that the first week of a new month is always a stress test for your architecture. February closed out with a massive wave of institutional month-end rebalancing. Now, as we enter March, the market is facing a raw liquidity test. The ultimate catalyst drops this Friday at 8:30 AM ET: The U.S. Non-Farm Payrolls (NFP) report. When that number hits the wire, asset classes decouple instantly. Over the weekend, we already saw Gold surge to test the ~$5,376 range due to macro uncertainty, while Bitcoin has been consolidating around ~$66,260. At exactly 8:30 AM on Friday, the WebSocket firehose from market APIs (like Binance, CME, or macroeconomic data providers) will absolutely explode. Here is how I am prepping my personal trading and macro-archiving stack to handle the incoming spike without crashing. The Backend: Java for the Firehose In the past, I've seen Node.js scripts choke when a majo