Dynatrace

SEPTEMBER 21, 2022

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.

Artificial Intelligence 264

Artificial Intelligence Benchmarking DevOps Engineering 264

Dynatrace

OCTOBER 2, 2023

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.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

Dynatrace

NOVEMBER 8, 2021

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.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

Dynatrace

JANUARY 4, 2024

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.

Government 263

Government Analytics Benchmarking Storage 263

O'Reilly

MARCH 25, 2025

Evaluation : How do we evaluate such systems, especially when outputs are qualitative, subjective, or hard to benchmark? Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations? How do we do so? We tested both retrieval quality (e.g.,

Systems 67

Systems Development Tuning Monitoring 67

O'Reilly

OCTOBER 18, 2022

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.

Artificial Intelligence 144

Artificial Intelligence Government Healthcare Metrics 144