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A Five-Step Methodology for Maximizing Efficiency in Software Engineering Meetings

DZone

Meetings are a crucial aspect of software engineering , serving as a collaboration, communication, and decision-making platform. However, they often come with challenges that can significantly impact the efficiency and productivity of software development teams.

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Revolutionizing Observability: How AI-Driven Observability Unlocks a New Era of Efficiency

DZone

Observability is the ability to measure the state of a service or software system with the help of tools such as logs, metrics, and traces.

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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. It can analyze, optimize, and scrutinize code efficiency and can help developers compare different code implementations, identify bottlenecks, and fine-tune critical sections for optimal performance.

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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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A Note to Business Leaders on Software Engineering

Strategic Tech

Software development is not an established discipline where there is a clear technique used to solve any given problem. In fact, there are near infinite ways to solve every software engineering challenging. The costs of entropy in software systems cannot be over-emphasised. This is natural, yet this is also a big problem.

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Our First Netflix Data Engineering Summit

The Netflix TechBlog

The Talks The Netflix Data Engineering Stack Chris Stephens, Data Engineer, Content & Studio and Pedro Duarte, Software Engineer, Consolidated Logging walk engineers new to Netflix through the building blocks of the Netflix Data Engineering stack.

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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. 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.

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