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Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing Shredder’s implementation is built on top of Seastar.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. The call for participation ends on March 2nd 23:59 SGT! Ford, et al., “TCP

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A persistent problem: managing pointers in NVM

The Morning Paper

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. The starting point is a set of three asumptions for an NVM-based programming model: Compared to traditional persistent media, NVM is fast.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. It was a great privilege. That's about 24 hours from now!

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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. For example, the most fundamental abstraction trade-off has always been latency versus throughput. General Purpose GPU programming. From CPU to GPU.

AWS 136
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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. In 2013, AWS launched the AWS Activate program to provide Nordic startups access to guidance and one-on-one time with AWS experts.

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