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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

This is because they are able to leverage free AWS or Azure startup hosting credits secured through their incubator, accelerator, or startup community program, and can apply their free credits to their database hosting costs as ScaleGrid. Deploying your application and database on the same VPC also provides the lowest possible latency path.

Cloud 242
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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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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management. Figure 2: Latency characteristics of memory technologies (source: Maruf et al.,

Latency 52
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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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The Need for Real-Time Device Tracking

ScaleOut Software

If a cyber network agent has observed an unusual pattern of failed login attempts, it needs to alert downstream network nodes (servers and routers) to block the kill chain in a potential attack. A New Approach: Real-Time Device Tracking. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78
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bpftrace (DTrace 2.0) for Linux 2018

Brendan Gregg

more capable, and built from the ground up for the modern era of the eBPF virtual machine. Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. eBPF does more. I wrote seeksize.d

C++ 110
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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. Consider the above example of querying shopping carts exceeding a threshold value.