The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.
The primary use cases I’ve seen implemented or promoted so far include:
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近年来，受宏观经济深度调整，国内信贷需求偏弱，LPR（贷款市场报价利率）重新定价等因素影响，银行的挑战前所未有。置身周期底部，谁能跑出更快更稳的资产扩张曲线，谁就能在下一轮洗牌中掌握主动权。
In 1942, at the height of British industrial war mobilization, an unlikely cohort scavenged the nation’s coastline for a precious substance. Among them were researchers, lighthouse keepers, members of the Royal Air Force and the Junior Red Cross, plant collectors from the County Herb Committee, Scouts and Sea Scouts, schoolteachers and students. They were looking for fronds and tufts of seaweed containing agar, a complex polysaccharide that forms the rigid cell walls of certain red algae.