Dynatrace

OCTOBER 2, 2023

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. Use domain-driven design when creating new microservices by separating microservices via their underlying business functions.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Dynatrace

NOVEMBER 8, 2021

” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. 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.

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

Abhishek Tiwari

DECEMBER 13, 2017

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. This has far-reaching implications how future data systems and algorithms will be designed.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

O'Reilly

JULY 25, 2023

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!”

Programming 98

Programming Code Design Benchmarking 98

O'Reilly

OCTOBER 18, 2022

System designs can be wrong. 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. Data can be wrong. Predictions can be wrong.

Artificial Intelligence 116

Artificial Intelligence Government Healthcare Metrics 116