DeepSeek Grapples with Extended Service Disruption
Beginning on the night of March 29, the prominent AI service platform DeepSeek faced a widespread service failure. Users reported persistent errors such as 'server busy' and prompts to check their network connection across both web and mobile app interfaces. This malfunction prevented successful logins, abruptly halted ongoing AI conversations, and resulted in the loss of some generated content.
Timeline of the Incident and Official Response
According to the platform's incident log, the technical team first detected issues at 21:35 on March 29. After an initial investigation into the anomalies affecting web and app services, a fix was implemented by 23:23 the same evening. However, stability was not fully restored. A second wave of performance issues emerged at 00:20 the following morning, prompting another round of investigation. A subsequent repair solution was deployed at 01:24. The total outage period lasted approximately 12 hours, significantly impacting user operations.
Public Reaction and Industry Implications
The phrase 'DeepSeek is down' quickly trended on major social media platforms, underscoring the service's substantial user base and market visibility. This prolonged outage has sparked user discussions concerning service reliability and data security. Furthermore, it serves as a critical reminder for the broader AI industry. As AI applications become increasingly integral to daily use, ensuring the continuous and reliable operation of underlying infrastructure is paramount. Incidents of this nature compel service providers to reinforce their system architectures and enhance disaster recovery protocols to manage unforeseen events, thereby guaranteeing users consistent and high-quality service availability.