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Observability in practice: knowing when to act

Xebia

You might have a lot of individual metrics, some of which indicate an error rate for example. Learning from SRE, the theory Regardless of whether or not you practice SRE, it provides a helpful structure for categorizing metrics, namely Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs).

Metrics 130
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Reinforcement Learning for Budget Constrained Recommendations

Netflix Tech

by Ehtsham Elahi with James McInerney , Nathan Kallus , Dario Garcia Garcia and Justin Basilico Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations.

Budget 71
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Power BI Purchase Dashboards

Sunflower Lab

Purchase Analysis Dashboards The Power BI Dashboard provides detailed insights into the company’s spending habits, offering a comprehensive overview of key metrics such as Purchase Document Count, Purchase Amount, and Invoiced Quantity. This helps SMBs to maximize their budget and improve their overall financial performance.

Budget 52
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Building an Airtight Business Case for Order Management Optimization

Perficient

Our recent research study revealed that C-suite decision makers prioritize cold, hard financial metrics when evaluating order management solutions. With a financially-airtight business case backed by market data, you’ll clear the biggest hurdle – securing executive sponsorship and budget allocation.

Budget 52
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Escaping the Cost/Visibility Tradeoff in Observability Platforms

Honeycomb

Through the last decade, a tablestake function in software monitoring and observability solutions has been to save and track app metrics. There is a level of modern system complexity where relying on metric collection spirals into cost inefficiency. Each new host, pod, node, or service adds to the bill.

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Quarterly Product Update: Management API, Query Builder, SLOs, and Metrics

Honeycomb

You can now build queries in a roomier, dynamic layout that optimizes for viewing relevant clauses of your query and run time comparison queries to visualize how your systems change over two time ranges. Application observability and system metrics, all in one place. Finally, you can now pin your SLOs! Need more info?

Metrics 52
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Unlock the Full Potential of Hive

Cloudera

The tool allows automatic actions to prevent negative consequences like excessive resource consumption and budget overruns. Furthermore, it provides insights from deep analytics for a variety of supported engines using query plans, system metrics, configuration, and much more. Am I overeating, or do I need more resources?