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Software Architecture Youtube Channels to Follow

Apiumhub

Mark is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems. Dave is a brilliant speaker and a thought-leader in the field of Continuous Delivery, DevOps and Software Development in general.

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What is AIOps?

CircleCI

Research firm Gartner first coined the term AIOps in 2016. Systems have multiplied their components in the industry-wide shift to containers and microservices. DevOps vs AIOps. However, AIOps is not here to replace DevOps or even compete with it. How to incorporate AIOps into your DevOps practice.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

Editor’s Note: This post was originally published on May 5, 2016. The microservices trend is becoming impossible to ignore,” I wrote in 2016. For teams dealing with loads of technical debt, microservices offer a path to the promised land. It has since been updated to reflect advancements in the industry.

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Velocity 2019 will focus on the rise of cloud native infrastructure

O'Reilly Media - Ideas

Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach. The CNCF, home to popular open source tools like Kubernetes, Prometheus, and Envoy, has grown to 350 members compared to fewer than 50 in early 2016. And the number of companies contributing to this space keeps growing.

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Five Trends for 2019

Hu's Place - HitachiVantara

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. A 2016 Forbes article published a survey of data scientists which showed that most of their time, 80%, is spent on massaging rather than mining or modeling data.

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

While there is a large infrastructure component that can often be handled by DevOps or platform engineers, the challenges unique to machine learning mean in practice that they need to have a solid background in modelling too. In 2016, Facebook was the first tech company to publicly announce details of their ML platform, FBLearner Flow.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.