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Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices

The Morning Paper

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., A DNN model is trained to recognise patterns in space and time that lead to QoS violations. on end-to-end latency) and less than 0.15% on throughput. ASPLOS’19.

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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

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Expanding the AWS Cloud – Introducing the AWS Europe (Stockholm) Region

All Things Distributed

They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. We also provided web-based training, self-paced labs, customer support, third-party offers, and up to $100,000 in AWS service credits–all at no charge.

AWS 124