Remove Culture Remove Data Engineering Remove Microservices Remove Software Engineering
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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Microservices Adoption in 2020

O'Reilly Media - Ideas

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. It’s the culture.

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From OOP to FP by Joaquin Azcarate – backend developer at Apiumhub in Software Crafters Barcelona

Apiumhub

Understand your systems with OpenTelemetry by Carolina Zhou Lin – Software Engineer at Voxel Group and Xavier Belloso – Senior Software Engineer en baVel – Voxel Group. Data Engineering: Building your BI infrastructure from scratch by Estefania Rabadan Martinez – Data Engineer Lead at Hotjar.

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The state of data quality in 2020

O'Reilly Media - Ideas

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Both models work on the scale, particularly when the company's core values, priorities, and culture all three are well aligned. It is one of the ways you can organise your engineering teams in a retail environment. The right answer mostly depends on the triad I mentioned earlier - core values, business priorities, and culture.

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Five Takeaways from HashiConf US 2019: Building Infrastructure in a Multi-* World

Daniel Bryant

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven? Not so, any more. Bravo @HashiCorp ??