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Schedule Interview NowMy name is Brandon H. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, API, Full-Stack Development, API Development, etc.. Some of the notable projects I’ve worked on include: Sonador, Webcourse: Docker for Continuous Integration, Evolving Architectures, Docker for Software Developers. I am based in Woods Cross, United States. I've successfully completed 4 projects while developing at Softaims.
My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision.
Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit.
I’m committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.
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Amazon
Sonador is an open source cloud platform for medical imaging visualization and research. It provides a foundation for AI application development and for building systems that solve difficult clinical problems.
Microservice Architectures, DevOps, and Continuous Integration with Containers, Docker, and Jenkins. Containers are a powerful tool for developing and managing software. When combined with DevOps practices, it is possible for organizations to efficiently deliver applications and services at high velocity. This course introduces containers and the most popular tool for their management: Docker. You will work with the core technologies provided by Docker for container management and apply them to the software development lifecycle as you package a custom application and test it using a Continuous Integration pipeline. Topics covered include: containers, Docker command line tools, building container images, networking, storage, and orchestrating multi-container systems using Docker Compose. In addition to Docker, you will also get experience with supporting systems such as Jenkins and GitLab that can be used to automate the building and deployment of Docker images as part of a continuous integration environment.
Notes On Implementing Microservices and DevOps With Containers Much has changed in technology over the past decade. Software now touches every industry and powers more process than ever before. To stay relevant, organizations increasingly need to deliver digital products and services quickly and efficiently. That's where the challenges start, though. Because the ways in which we build and deliver software has also changed, it can be easy to become lost in the buzzwords. As an example, consider some of the current best practice recommendations: "Create cloud native solutions using DevOps practices! Leverage Microservice architectures and compose them into complex solutions! Put everything in containers!" Cloud native? DevOps? Microservices? Containers? What are these things? Looking for a dictionary to help interpret the buzzwords? This white paper is your guide. We will look will look at two of the most important trends -- Microservices and DevOps -- and discuss their principles and practices. We will then look at how container technologies, such as Docker and Kubernetes, can be used to put those strategies into practice.
Microservice Architectures, DevOps, and Continuous Integration with Containers, Docker, and Jenkins. Containers are a powerful tool for developing and managing software. When combined with DevOps practices, it is possible for organizations to efficiently deliver applications and services at high velocity. This book introduces containers and the most popular tool for their management: Docker. You will work with the core technologies provided by Docker for container management and apply them to the software development lifecycle as you package a custom application and test it using a Continuous Integration pipeline. Topics covered include: containers, Docker command line tools, building container images, networking, storage, and orchestrating multi-container systems using Docker Compose. In addition to Docker, you will also get experience with supporting systems such as Jenkins and GitLab that can be used to automate the building and deployment of Docker images as part of a continuous integration environment.