Data Data Engineering DevOps Engineering 
Percona Community
OCTOBER 14, 2020
(next day) Abstract Not so long ago, operations specialists worked much like today’s data engineers do: with specialized skills, they were the people who kept sites running, who responded to emergencies, and who—unfortunately—spent much of their time dealing with incidents and other “fires.”
Dynatrace
JULY 6, 2022
Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. IT automation, DevOps, and DevSecOps go together.
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InfoQ
APRIL 15, 2024
He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz
Abhishek Tiwari
FEBRUARY 26, 2020
The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.
O'Reilly
FEBRUARY 18, 2020
It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers.
High Scalability
MARCH 3, 2020
Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how world-class tech companies crush the hiring game! Apply here.
High Scalability
APRIL 14, 2020
Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.
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