Artificial Intelligence Benchmarking Design Processing 
Dynatrace
OCTOBER 2, 2023
It is better to consider refactoring as part of the application transformation process before migrating, if possible. 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.
Dynatrace
NOVEMBER 8, 2021
These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions. Artificial intelligence for IT operations (AIOps) for applications. Application performance insights.
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Scalegrid
JANUARY 12, 2024
In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. 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.
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.
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. But what about the auditors?
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