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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

Alongside streamlined processes and collaborative efficiency, DevOps teams need real-time access to detailed, correlative, context-rich data and analytics. By understanding how observability in DevOps transforms development capabilities, you can maximize the effectiveness of your teams and your data. Let’s get into it.

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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. It’s often portrayed as a revolutionary method for constructing software systems that are scalable, adaptable, and efficient. However, like any technology, it has its strengths and weaknesses.

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4 remedies to avoid cloud app migration headaches

CIO

And he and his team have done so successfully. Plan ahead for potential future migrations The desire, however, to move key applications between cloud providers, what Gartner calls “cloud repatriation,” is usually the result of bad planning, Nag says. We limit the number of ancillary capabilities and focus on the core.”

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The Top 13 Sessions From 2018 Ops and Dev Conferences

OverOps

Liz Fong-Jones , Staff Developer Advocate at Google, explains how error budgets and Site Reliability Engineering practices can improve the reliability, maintainability, and feature velocity of products. Instead, it might be disregarding the very values and principles of true agile development. How Netflix Thinks of DevOps.

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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

Increased scalability and flexibility: As you accumulate more and more data, scalability becomes an increasingly important concern for analytics, especially to handle rapid usage spikes. Before executing any cloud migration, organizations need to perform due diligence and develop a clear strategy. Don’t rush into things.

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AI in Cyber Is Here to Stay — How to Weather This Sea Change

Palo Alto Networks

Foreseeing a Shifting Job Market and Workflows One of Huebner’s top predictions is that AI will massively affect the job market and how developers and engineers work, especially within enterprises. Both good and bad ways. Both good and bad ways." It's going to affect productivity in a massive way.

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The Top 13 Sessions From 2018 Ops and Dev Conferences

OverOps

Liz Fong-Jones , Staff Developer Advocate at Google, explains how error budgets and Site Reliability Engineering practices can improve the reliability, maintainability, and feature velocity of products. Instead, it might be disregarding the very values and principles of true agile development. How Netflix Thinks of DevOps.