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ta

Coinbase reviews the May outage incident: AWS cascading failure exposes architectural risks

Coinbase released a retrospective report on the large-scale service interruption event on May 7, 2026.The outage lasted approximately 8 hours, with full recovery taking about 12 hours. During this time, trading, deposits, withdrawals, and most core services were unavailable or severely degraded. Coinbase stated that the outage was caused by multiple cooling units failing simultaneously in the cooling system of a data center in one availability zone (use1-az4) in the AWS us-east-1 region, triggering cabinet thermal protection shutdowns, which led to EC2 instances and EBS volumes going offline, affecting multiple internet services.During the recovery process, the Coinbase trading matching engine lost quorum due to the cluster architecture deployed in a single AWS data center losing most nodes. It required urgent code adjustments and the reconstruction of a new node group to restore operation, gradually restarting market trading during the recovery.Additionally, the AWS-managed Kafka (MSK) service experienced control plane failures, preventing the automatic re-election of partition leaders, further blocking quotes, fees, and some settlement and data flow systems, which expanded the overall impact.After manual partition migration in collaboration with the AWS engineering team, the system gradually returned to normal. Coinbase stated that this incident exposed its shortcomings in cross-availability zone automatic switching capabilities and disaster recovery for managed middleware. The company will upgrade its cross-region hot backup architecture, strengthen regular failure drills, and migrate the Kafka system from dual availability zones to a three availability zone deployment, while also working with AWS to advance root cause fixes and improvements.

The robot AI data platform Mecka AI has completed a $60 million financing round, led by Framework Ventures

According to Fortune, the startup Mecka AI, which focuses on training data for robotic AI, announced the completion of a total financing of $60,000,000, including a $25,000,000 Series A round completed last November and a subsequent $35,000,000 follow-on financing. Both rounds were led by Framework Ventures, with participation from institutions such as Menlo Ventures, SV Angel, and Kindred Ventures.Mecka AI primarily collects human motion data through body sensors, iPhones, and custom hardware, including physical behavior data such as gestures and gait, to train robotic AI models.The company's founder and CEO, Josh Gao, stated that its core philosophy is to train robots using human behavior data rather than traditional teleoperation data, thereby enhancing the general capabilities of robots in the real world.It was introduced that Mecka AI was established in 2025 and currently has about 40 employees. The company claims that based on signed contracts, its annual recurring revenue (ARR Run Rate) is expected to reach $100,000,000, but it has not disclosed a specific client list.Vance Spencer, co-founder of Framework Ventures, stated that Mecka AI is one of the fastest-growing companies in the institution's portfolio.In the future, Mecka AI plans not only to provide training data but also to directly participate in the training and deployment of robotic models, promoting the commercialization of robots in real-world scenarios.
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