Beauty will save the world

Joined August 2013
17 Photos and videos
Reference Architecture Model Industrie 4.0 (RAMI4.0) - DIN SPEC 91345:2016-04 beuth.de/de/technische-regel…

Miguel Ángel Dev retweeted
All 2020 @ieeesoftware issues are now out! The latest covering Behavioral Science, following Blockchain and AI. See full IEEE Software history at techclassifieds.net/ieeesw
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baeldung.com › java-spring-m... Web results Mockito.mock() vs @Mock vs @MockBean | Baeldung

Gartner 2019 Magic Quadrant for Industrial IoT Platforms ptc.com/en/resources/iiot/wh…

Miguel Ángel Dev retweeted
Software project life cycle stages
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"when a modeler is separated from the implementation process, he or she never acquires, or quickly loses, a feel for the constraints of implementation"
Miguel Ángel Dev retweeted
DevOps considered harmful. Ease of making and deploying changes has switched the software industry towards fast delivery of changes, rather than making a good design. Read #DesignThinking theme issue @ieeesoftware . Learn from case studies how to tailor and use Design Thinking.
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Miguel Ángel Dev retweeted
For years I have been building simple personal productivity and other tools. I now took an effort to organize them and share them for free at zeljkoobrenovic.com/tools.ht…
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Miguel Ángel Dev retweeted
20 Nov 2019
Another year and ⁦@java⁩ is still dying... 😏 #java
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Miguel Ángel Dev retweeted
18 Oct 2019
Unpopular opinion: unless you have a large dedicated ops team, don't even look at kubernetes. AWS, GCP, Azure and Heroku all have "batteries included" PaaS that are excellent and will get you a long way before k8s is needed. Plus it's a nightmare of complexity.
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Miguel Ángel Dev retweeted
All the videos from #FOSS4G2019 are available here: media.ccc.de/c/foss4g2019. We are thankful to anyone who contributed and to the amazing team of @c3voc.
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Miguel Ángel Dev retweeted
29 Sep 2019
Many data science teams spend in excess of 90% of their effort on the data used for ML/DL training. It is time to treat data in the same way as we treat code: DataOps next to DevOps as is the key to operational AI. linkedin.com/pulse/dataops-k…
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