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Scalable Annotation Service?—?Marken

The Netflix TechBlog

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low. Teams should be able to define their data model for annotation.

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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability.

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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

High Level Architecture The idea, at a high level, was to avoid the need to query the Atlas database almost entirely and transition most alert queries to streaming evaluation. The internals here are outside the scope of this blog post. Hence, we started down the path of alert evaluation via real-time streaming metrics. OK, Results?

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Site reliability engineering: 5 things you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. At a system level, SRE specialists develop tooling that coordinates releases and launches, evaluates system architecture readiness, and meets system-wide SLOs.

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

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

ACM Sigarch

Introduction Memory systems are evolving into heterogeneous and composable architectures. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g., even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

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