Remove KPI Remove Metrics Remove Storage
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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning - AI

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

DevOps 119
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Two DevOps Metrics for Agile Teams & their Managers

Storm Consulting

After almost two years of frustratingly slow progress, the DevOps transformation leaders at MIB (Massive Investment Bank, whose name is interesting but not important) are re-evaluating their choice of key performance indicators (KPIs). Figure 1 Indicative figures showing positive jaws of DevOps metrics: releases vs incidents.

Metrics 49
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

Netflix Tech

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Metrics 114
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B2B SaaS – Everything you need to know

Openxcell

It is better than buying a licence for software which is not only expensive but also hard to maintain given their ever increasing infrastructure and storage requirements. Since for SaaS products retaining existing clients is of the utmost importance, churn rate becomes the most vital kpi to track.

B2B 98
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A Guide to Detecting and Managing Cloud Cost Anomalies

Mobilunity

Another example is accidentally provisioning premium instances or storage options that arent needed for your workload. Retailers, for example, often see higher traffic and thus compute and storage costs during holidays. Consolidate these KPIs in an interactive FinOps dashboard (e.g., Automated Reporting. Executive Review.

Cloud 40
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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

Because of the free text nature of the output, it’s difficult to assess and compare different responses in terms of a metric or KPI, leading to a manual review in most cases. Evaluation of results and process refinement Evaluating the responses from the LLM models is another challenge that is not found in traditional AI use cases.

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“Server Utilization” is a nonsense metric

ProdOps

So the natural conclusion is that there must be a KPI (performance indicator) that measures the utilization of servers, and when the utilization is very high it also means that the waste is very low?—?thus Improvements in the storage component do not affect improvements in the networking component or in application components.

Metrics 45