Remove AWS Remove Cache Remove Efficiency Remove Latency
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Compute: Titus Whereas open-source users of Metaflow rely on AWS Batch or Kubernetes as the compute backend , we rely on our centralized compute-platform, Titus. We have talked about the importance of a production-grade workflow orchestrator in the context of Metaflow when we released support for AWS Step Functions years ago.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency. Data management.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

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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. Jack Dongarra talked about the scores, and pointed out the low efficiency on some important workloads.

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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. Ford, et al., “TCP

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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

This is why the async and deferred attributes are crucial, as they ensure an efficient, seamless web browsing experience. It also opens up the possibility for more effective use of caching strategies, potentially enhancing load times further. The shorter the TTFB, the better the perceived speed of the site from the user’s perspective.