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AI Flame Graphs

Brendan Gregg

At Intel we've been creating a new analyzer tool to help reduce AI costs called AI Flame Graphs : a visualization that shows an AI accelerator or GPU hardware profile along with the full software stack, based on my CPU flame graphs. The gray "-" frames just help highlight the boundary between CPU and AI/GPU code.

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Where programming languages are headed in 2020

O'Reilly

As we enter a new decade, we asked programming experts?—including ” Willing also offered a shout-out to the CircuitPython and Mu projects, asking, “Who doesn’t love hardware, blinking LEDs, sensors, and using Mu, a user-friendly editor that is fantastic for adults and kids?” ” Java.

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Rust and Sustainability: Programming for a Greener Future

DZone

In an era where sustainable practices are more important than ever, the selection of programming languages has shifted to include factors such as environmental impact alongside performance, ease of use, and scalability. Rust has emerged as a standout choice in this context, driving us toward a greener future in programming.

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How to overcome the cloud observability wall

Dynatrace

There are a few important details worth unpacking around monolithic observability as it relates to these qualities: The nature of a monolithic application using a single programming language can ensure all code uses the exact same logging standards, location, and internal diagnostics. Just as the code is monolithic, so is the logging.

Cloud 246
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Six causes of major software outages–And how to avoid them

Dynatrace

Software bugs Software bugs and bad code releases are common culprits behind tech outages. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components. These can be caused by hardware failures, or configuration errors, or external factors like cable cuts.

Software 290
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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What is AWS Lambda?

Dynatrace

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Customizing and connecting these services requires code. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 258