d2iq
NOVEMBER 7, 2022
To keep pace with the accelerating digital landscape, today’s organizations are adopting containers and Kubernetes to enable agility and increased time-to-value. The Big Three” cloud providers (Google, Amazon, Azure) have continued their relative rankings since 2016, with AWS maintaining its market dominance. in the last year.
Apiumhub
SEPTEMBER 29, 2020
Mark is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems. He works with companies large and small to help them capitalize on the opportunities provided by APIs, Microservices, and Digital Transformation.
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Apiumhub
DECEMBER 1, 2021
This frontend concept is very much inspired by the microservices used mostly in the backend. The way to find the perfect size for your micro-frontend is similar to the one used in microservices, because if it is too big your application will have too much coupling and if they are too small you will have a fragmented application.
CircleCI
MAY 7, 2020
Then we start to debate the merits of these architectures using a line of thinking that suggests you are choosing to have a “Microservices Architecture” or an “Event-Driven Architecture” or a “Serverless Architecture.” There’s probably a monolith somewhere, some number of microservices, a few events, and a serverless element or two.
O'Reilly Media - Ideas
MARCH 20, 2019
Organizations that want all of the speed, agility, and savings the cloud provides are embracing a cloud native approach. Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach. These techniques enable loosely coupled systems that are resilient, manageable, and observable.
Hu's Place - HitachiVantara
JANUARY 3, 2019
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.
d2iq
FEBRUARY 19, 2021
In 2016, Facebook was the first tech company to publicly announce details of their ML platform, FBLearner Flow. Unit and integration tests are pretty standard for data pipelines and microservices. Back then, TensorFlow was very low level, even though nowadays it includes the Keras API. PyTorch was released a year later.
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