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Why digital transformation hinges on SRE teams

Dynatrace

Additionally, 60% report spending much of their time building and maintaining automation code. While creating automation scripts might be an effective short-term solution, it requires long-term maintenance and code updates, which become more complicated as environments become more complex.

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10 tips for migrating from monolith to microservices

Dynatrace

Likewise, refactoring and rewriting code takes a lot of time and effort. In fact, it can be difficult to make code changes that won’t disrupt the entire system. Monitor the application before, during, and after migration Migrating and changing code can be a tricky business. Migration is time-consuming and involved.

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How to evaluate modern APM solutions

Dynatrace

Artificial intelligence for IT operations (AIOps) for applications. Your APM tool should help you establish performance benchmarks, so you can understand what good performance looks like. The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail.

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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. The benchmarking was performed using 3 real-world data sets (weblogs, maps, and web-documents), and 1 synthetic dataset (lognormal).

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Real-Real-World Programming with ChatGPT

O'Reilly

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. or “ha look how incompetent it is … it couldn’t even get my simple question right!”

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly

In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems. For audit results to be recognized, audits have to be transparent and fair.