Dynatrace

OCTOBER 2, 2023

Use domain-driven design when creating new microservices by separating microservices via their underlying business functions. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices. When it comes to refactoring, teams should start with what they can understand.

Architecture 237

Architecture Artificial Intelligence Cloud Open Source 237

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 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

Scalegrid

JANUARY 12, 2024

High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation. I liked how ChatGPT helped me work through the tradeoffs of these initial design decisions before diving head-first into coding.

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