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Tech Transforms podcast: The path forward for AI in the government

Dynatrace

During the university’s last Cyber Beacon conference , organizers presented both a human and an AI-generated abstract for panel sessions. Discover the best practices for developing an ideal AIOps strategy in your agency in the free ebook: Harnessing AIOPs for seamless services in agency operations Read now!

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically?

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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52
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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

Of course, Hydrogen also comes with a set of pre-built and optimized components that know how to speak to the Shopify Storefront API and allow you to focus on presentation — the differentiated merchant value — instead of plumbing. Stay tuned for more in 2022! Large preview ). Curious to give it a try? More after jump!

Cache 135
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Best Web Performance Books to Learn Site Speed Optimization

MachMetrics

Author Steve Souders writes about the best practices that he gained as the Chief Performance Yahoo!, and the Head Performance Engineer at Google. Souders presents his 14 rules throughout the course of the book while discussing the importance of front-end performance. and Google, they’ll do wonders for your website!

Speed 85
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Software engineering for machine learning: a case study

The Morning Paper

Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. Learnings and emerging best practices. Software engineering for machine learning: a case study Amershi et al.,

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Data validation for machine learning

The Morning Paper

describe for us the data validation pipeline deployed in production at Google, “ used by hundreds of product teams to continuously monitor and validate several petabytes of production data per day.” Data validation at Google is an integral part of machine learning pipelines. Breck et al. What could possibly go wrong?

Google 92