OpenNebula is an open-source cloud computing platform that enables the deployment and management of private, public, and hybrid cloud environments. It provides a simple yet powerful solution for orchestrating virtualized data centers, managing virtual machines, storage, and networking resources efficiently.
Top 5*
Cloud Computing Platforms

About OpenNebula
OpenNebula was created in 2005 by Ignacio M. Llorente and Rubén S. Montero at the Complutense University of Madrid. It was developed to address the need for a flexible and efficient tool for managing virtualized data centers and cloud infrastructures. Initially, it focused on providing a research platform for cloud computing, but it evolved into a widely-used solution for enterprise cloud management.
Strengths of OpenNebula include its simplicity, flexibility, and ability to manage hybrid cloud environments efficiently. It supports a wide range of virtualization technologies and offers robust scalability. Weaknesses may involve limited advanced features compared to larger platforms and a smaller community for support. Competitors include OpenStack, VMware vSphere, and Microsoft Azure Stack.
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How to hire a OpenNebula expert
An OpenNebula expert must have proficiency in virtualization technologies such as KVM, VMware, and LXD. They should be skilled in Linux system administration, networking concepts, and storage management. Knowledge of scripting and automation using languages like Bash or Python is essential. Familiarity with cloud architecture and experience with hybrid cloud deployments will also be beneficial.

Lucas G.
Skills
A senior software engineer with over nine years of experience specializing in mobile app development, primarily focusing on the creation of new applications and the migration of legacy applications to Flutter. Current and past responsibilities include managing the development process from prototyping to deployment and leading teams dedicated to application, website, and system development. Extensive experience encompasses collaboration with major firms, driving technical solutions and team leadership to achieve organizational objectives.

Renan C.
Skills
A Software Developer with extensive experience since 2014, initially specializing in Delphi programming before transitioning to Ruby on Rails nearly four years ago. Recently served as a technical leader, offering mentorship and support to less experienced team members. Responsible for managing several complex projects under tight deadlines.

Carlos Z.
Skills
An experienced web developer since 1995, with a background rooted in self-education, this individual possesses comprehensive expertise across diverse domains such as Linux, Unix, front-end and back-end development, information architecture, user experience (UX), DevOps, digital marketing, design, team management, and Scrum methodologies. Specializing in the creation of products that integrate creative capabilities with logical programming skills, this professional is distinguished by a profound ability to conduct thorough market research and a keen understanding of daily user needs. This approach facilitates innovation through the simplification of user interactions and an acute focus on meeting user requirements effectively.

Roger M.
Skills
Full Stack Developer with over six years of experience in systems development and a specialization in the JavaScript stack, particularly proficient in TypeScript, Node.js, and React. Versatile in handling various frameworks and libraries within this ecosystem, including NestJS, NextJS, Microservices, Test-Driven Development (TDD), Docker, GraphQL, and state management tools such as Redux, React Query, Context API, and Jotai. Expertise in ORM tools encompasses TypeORM, Prisma, Sequelize, and Mongoose, alongside proficiency in messaging protocols like gRPC, Kafka, and SQS. Adept in styling frameworks such as TailwindCSS and Material UI.
Database proficiency spans both relational and non-relational databases, including Oracle 12C, MySQL, and PostgreSQL for relational systems, and MongoDB, Redis, and DynamoDB for NoSQL databases. Additionally, possesses substantial experience with cloud providers such as Amazon Web Services (AWS) and Google Cloud Platform (GCP), and a strong grasp of microservices architecture (Lambdas), agile methodologies, and DevOps principles. Demonstrates a commitment to continuous learning and staying abreast of the latest technological trends and advancements.

Keven S.
Skills
Software Developer primed to tackle complex problems to foster both personal and technical advancement. Demonstrates rapid learning capabilities coupled with a proactive attitude. Proficient in Java, Spring, JPA, and SQL, with a working knowledge of Scrum methodology.

Mariel M.
Skills
A Product Designer since 2017, specializing in the development of user-centric products that drive business impact and garner user appreciation.

Daniel P.
Skills
Initiating a professional journey in 2018 as a Full-Stack Developer at the age of 16/17, a particular enthusiasm for front-end development marked the early career. The inaugural project entailed constructing a Workflow front-end using Vue, designed to replicate GitHub's build workflow within a one-month scope, ultimately achieving client satisfaction. Following this, collaboration with a chatbot team entailed significant contributions to its development and enhancement, particularly in integrating with various clients and optimizing invoice visualization processes.
In 2022, advancement to a position at a Dental Software company involved the development of internal tools utilizing React.js to aid sales agents and enhance product sales processes. This role facilitated the expansion of the customer base from over 10,000 to approximately 16,000 through the successful creation and implementation of a new sales page and a voucher system. These initiatives led to a notable increase in conversion rates, improving from around 30% to over 70%.

Lukas J.
Skills
Possessing over a decade of experience in the IT sector, with a focus on IP CCTV monitoring, access control, and entrepreneurship, I have cultivated a profound expertise in the science and technology domain. My academic journey includes professional certifications in Data Science from esteemed institutions like IBM, Stanford University, and Deep Learning.AI, enriching my knowledge base under the guidance of renowned experts such as Andrew Ng and engineers from Google. Renowned for delivering meticulous work with unwavering dedication, I continuously seek knowledge and experiences to enhance both my professional capabilities and personal growth. Presently, I am engaged as a full-time data scientist, contributing to the field in both professional and academic capacities. Additionally, my role extends to volunteering as a Mentor in Machine Learning courses at Stanford University and participating as an Alpha Tester in various Deep Learning.AI courses.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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