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DevOps Engineer vs Software Engineer

The Crazy Programmer

It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. Role of Software Engineer. Software engineers are responsible for developing software based on the needs of clients. There are many types of software engineers, such as. Security engineer.

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Understanding the Role of DevOps in Digital Engineering

OTS Solutions

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? Why are DevOps and Digital Engineering Important?

DevOps 130
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Understanding the Role of DevOps in Digital Engineering

OTS Solutions

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? Why are DevOps and Digital Engineering Important?

DevOps 130
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Article: How Platform and Site Reliability Engineering Are Evolving DevOps

InfoQ Culture Methods

Companies are now looking to grow and more effectively manage DevOps with platform engineering and site reliability engineering roles.

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A DevOps Guide for Product Managers

Speaker: Suzie Prince, Head of DevOps, Atlassian

At the same time they, and their engineering teams, are struggling to adapt to work in new all remote ways. Luckily, the culture of DevOps and the practice of Continuous Delivery supports product managers and their teams as modern software development evolves at a rapid pace. In this webinar, you will learn: What is DevOps.

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What’s the Difference Between DevOps and Platform Engineering?

DevOps.com

The DevOps space is buzzing with a new trend—platform engineering. Platform engineering has been gaining steam over the last few years but has really peaked in interest lately. In fact, according to a study conducted by Puppet Labs, 51% of organizations have adopted platform engineering or plan to do so in the next year.

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Empowering DevOps: The Crucial Role of Platform Engineering

Dzone - DevOps

In today's fast-paced digital landscape, DevOps has emerged as a critical methodology for organizations looking to streamline their software development and delivery processes. One of the key enablers of DevOps practices is platform engineering. In essence, they provide the foundation upon which DevOps practices can thrive.

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9 Developer Enablement Practices to Achieve DevOps at Enterprise Scale

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.

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The Ultimate Guide to Software Delivery & Engineering Metrics

As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.

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Why Distributed Tracing is Essential for Performance and Reliability

Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep

Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Prioritize engineering work by putting it in the context of end user experience. However, this increased velocity often comes at the cost of overall application performance or reliability.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Translating DevOps principles into your data engineering process. Workshop video modules include: Breaking down data silos. Integrating data from third-party sources. Developing a data-sharing culture. Combining data integration styles. Using data models to create a single source of truth.