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10 tips for migrating from monolith to microservices

Dynatrace

It is better to consider refactoring as part of the application transformation process before migrating, if possible. End-to-end observability starts with tracking logs, metrics, and traces of all the components, providing a better understanding of service relationships and application dependencies.

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Measuring the importance of data quality to causal AI success

Dynatrace

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Improving data quality is a strategic process that involves all organizational members who create and use data. The data needs to be appropriate for the questions asked.

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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. 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.

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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. Its operators have less experience and associated governance processes are less fleshed out.