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Sustainability: Thoughts from a software engineer

Dynatrace

How to achieve sustainable IT practices Use observability tools The first step in driving improvements is to obtain a comprehensive view of your IT infrastructure’s climate impact. Scale to zero Scaling systems to match current demand prevents underutilized machines from consuming significant energy while idling.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

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How to Prepare for Your DevOps Interview

DZone

Over the past decade, DevOps has emerged as a new tech culture and career that marries the rapid iteration desired by software development with the rock-solid stability of the infrastructure operations team. As of August 2019, there are currently over 50,000 LinkedIn DevOps job listings in the United States alone.

DevOps 277
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Extend the AI and automation core of Dynatrace with host extensions to resolve infrastructure problems

Dynatrace

GPU-based machine learning system crashes, and you don’t know why? All the data bound to hosts is analyzed by the Davis AI causation engine and made available on custom dashboards and events pages. One of our software engineers, Tomasz Gajger, has been involved in a research project related to GPU performance analysis.

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Key Elements of Site Reliability Engineering (SRE)

DZone

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. It combines principles of software engineering, operations, and quality assurance to ensure that systems meet performance goals and business objectives.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly

The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Traditional versus GenAI software: Excitement builds steadilyor crashes after the demo. Two big things: They bring the messiness of the real world into your system through unstructured data. Leadership gets excited. The way out?

Systems 67
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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Context-rich tickets can be created in systems like Jira or ServiceNow for traceability and compliance.

DevOps 306