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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 135
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. AWS re:Invent 2023: IT automation in AWS environments through a multipronged AI approach In almost every industry, generative AI has become a key topic.

AWS 203
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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Investigating a video streaming failure consists of inspecting all aspects of a member account. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments. which is difficult when troubleshooting distributed systems.

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. Detect a regression in a test case. It can be used in Python notebooks ?

Testing 163
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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. This is only one of many microservices that make up the Prime Video application. Finally, what were they building?