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AVIF for Next-Generation Image Coding

The Netflix TechBlog

Choosing 420 subsampling, over the original 444 format, halves the number of samples (counting across all 3 color planes) that need to be encoded while relying on the fact that the human visual system is more sensitive to luma than chroma. Brief overview of image coding formats The JPEG format was introduced in 1992 and is widely popular.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

This innovative model supports continuous delivery in a consistent and reliable way and stays true to the DevOps goal of code moving across the pipeline with more automation and less, or minimal, human intervention. . Read more details about PayPal in this blog who is an early practitioner for performance as a self-service. #2

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

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The platform engineer role: A game-changer or just hype?

Dynatrace

The “cognitive load” refers to the additional requirements of building an application beyond the code itself. The software development lifecycle is a complex system with many moving parts. Because of platform engineers and the reduced cognitive load, the developers are writing the code they need to,” Wilson said.

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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

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MongoDB Performance Resources

Alex Podelko

I admired MongoDB classes long before I started to work there – in 2013, 8 years ago, I wrote Revolution in Vendor Education? Some good videos on the topic: Solving MongoDB Performance Riddles with Systems Thinking. M312 Diagnostic and Debugging course. (I There are many great blog posts: Performance Best Practices 7-parts series.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. This information can enable more educated investment choices. Government.