On July 5th， according to Kuaikeji， the Weibo topic “Meituan Crashed” trended， sparking widespread discussion.
Many netizens reported on social media platforms that they were experiencing errors when accessing the Meituan App， with the system displaying “Try again later.” Some users expressed their frustration， stating， “I need to eat， I need to drink milk tea， fix it quickly.”
It is understood that when a server experiences lag or even a “shutdown，” users typically encounter prolonged system unresponsiveness， such as the inability to access the app normally or search functions failing.
Generally， the access capacity of system servers is designed to handle peak traffic loads anticipated during normal operations， with all related service resources configured accordingly. If the traffic volume at a particular moment exceeds this peak， the system becomes unable to cope， and downtime becomes unavoidable.
By accurately predicting traffic peak ranges， platforms can proactively manage increased demand through scheduled scaling and by providing elastic computing and storage resources. Many platforms have successfully navigated sudden traffic surges in the past， such as during major events like “Double Eleven” shopping festivals.
