Agile Stacks Blog | Machine Generated Code

As an educator and data scientist, Kubeflow gets your labs started fairly quickly

Posted by John Morada on Apr 12, 2020 6:18:00 PM

A recent search on Indeed.com shows an open request for data scientists at approximately 3,600 job postings. But being a data scientist doesn't mean needing to be an Ops engineer. There is a difference:

Data Scientist - as widely defined, is an individual with the primary role of sourcing data to be used in algorithmic and statistical analysis to identify trends, insights and other relevant information
Ops Engineer - aka Application Operations Engineer, is pragmatically the technical staff charged with the optimization, maintenance, monitoring and governance of in-production business systems.

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Topics: AI, DevOps Automation, Machine Generated Code, Machine Learning, Higher Education, Data Science

What Every Computer Science Student Should Know For A Job As A Cloud Engineer

Posted by Ricky Severino on Aug 25, 2019 2:15:00 AM

In this blog, Ricky Severino, a recent computer science graduate from The American University, shares perspectives gained from his internship at Agile Stacks.

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Topics: Cloud, Cloud Computing, Cloud Services, code collaboration, Automation, DevOps Automation, Machine Generated Code, AWS, Machine Learning, Higher Education, Infrastructure Automation, Kubernetes

Graphical programming naturally fits with infrastructure automation

Posted by Sean O'Shaughnessey on Mar 19, 2019 6:19:34 AM

Graphical programming—or low-code/no-code programming—is excellent for education. When you’re trying to get an 8-year-old to understand programming logic and what software development can accomplish, the ability to create something concrete without spending months learning a programming language or debugging typing or syntax errors is powerful.

When you’re trying to develop a business application, one that has specific, pre-defined business logic associated with it, graphical programming will usually only get you 90% of the way there. When we’re talking about a business application, that isn’t enough. And in most graphical programming platforms, going from 90% to 100% is exceptionally hard.

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Topics: Application Composition, Business Agility, Enterprise Applications, Enterprise Software, PaaS, Reducing Costs of IT, software development, DevOps First, Full Stack Deployment, DevOps Automation, Machine Generated Code, Infrastructure Automation

A case for machine-learning infrastructure automation to keep Higher Ed competitive

Posted by John Mathon on Mar 10, 2019 6:00:00 AM

Every school’s goal is to give students an advantage in the professional world. No matter what subject they teach, university professors squeeze as much information as possible into a short semester to create intellectual value. For computer science, this is most obvious in the global race for artificial intelligence (AI) talent. According to Forbes, “The countries pushing AI forward have ready access to qualified professionals. They have also developed university programs and AI curriculum to develop more talent. When it comes to emerging technologies, intellectual capital is a huge strategic advantage.”

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Topics: AI, CTO, DevOps Automation, Machine Generated Code, Machine Learning, Higher Education