DevOps Microservices Retail Software Engineering 
Daniel Bryant
MARCH 31, 2022
This kickstarted a kind of DevOps evolution, largely led by the Netflix motion toward “ full cycle developers ”. Or organizations can implement a Google-like approach in which application developers are enabled to focus on their core competencies without worrying too much about deploying and running their software.
Apiumhub
AUGUST 12, 2021
This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.
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Honeycomb
OCTOBER 11, 2023
The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase. To put it succinctly, Kubernetes is not your silver bullet to better performing software. Kubernetes is currently in its “hype cycle” phase.
Altexsoft
MAY 18, 2022
There has been a lot of buzz around the concept of microservices lately with quite a few businesses adopting it to get rid of huge, monolithic backends. These and other issues have made frontend developers look in the direction of microservices too. Monolithic architecture vs microservices and micro frontends.
O'Reilly Media - Ideas
MAY 19, 2020
O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. More than half of respondent organizations use microservices. Microservices Achieves Critical Mass, SRE Surging. All told, we received 1,283 responses.
Altexsoft
JULY 19, 2022
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.
O'Reilly Media - Ideas
FEBRUARY 11, 2020
A person who manages a data science or data engineering team—or, for that matter, a DevOps or AIOps practice—functions for all intents and purposes as an interface between her team(s) and the person (also typically a manager) to whom she directly reports. This last point is important.
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