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Why digital transformation hinges on SRE teams

Dynatrace

Service-level objectives (SLOs) are key to the SRE role; they are agreed-upon performance benchmarks that represent the health of an application or service. SREs need SLOs to measure and monitor performance, but many organizations lack the automation and intelligence to streamline data.

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10 tips for migrating from monolith to microservices

Dynatrace

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. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

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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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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. Additionally, teams should perform continuous audits to evaluate data against benchmarks and implement best practices for ensuring data quality.

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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. Despite flaws, start with simple metrics and clear thresholds. More are published all the time.