Jelastic was created in 2011 by Ruslan Synytsky and his team to address the need for a scalable and flexible cloud platform that could simplify application deployment and management. The platform aimed to provide developers with an easy-to-use solution that supported multiple programming languages and environments, offering automatic scaling and resource optimization. Over time, Jelastic evolved to include both Platform-as-a-Service (PaaS) and Container-as-a-Service (CaaS) functionalities, catering to a broad range of cloud computing needs.
Jelastic
Jelastic is a cloud platform that provides Platform-as-a-Service (PaaS) and Container-as-a-Service (CaaS) solutions. It allows developers to deploy, manage, and scale applications easily using containers. Jelastic supports various programming languages and environments, offering automatic vertical and horizontal scaling, multi-cloud compatibility, and a pay-as-you-go pricing model to optimize resource usage and cost-efficiency.
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About Jelastic
Strengths of Jelastic include its automatic scaling capabilities, support for multiple programming languages, and flexibility in deployment across various cloud providers. Weaknesses may involve limited market presence compared to larger competitors and potential complexity for users unfamiliar with container-based environments. Competitors include platforms like Heroku, Google App Engine, and AWS Elastic Beanstalk, which offer similar PaaS and CaaS solutions.
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How to hire a Jelastic expert
A Jelastic expert must have skills in cloud computing, containerization, and application deployment. Proficiency in managing and configuring environments using Docker and Kubernetes is essential. Knowledge of various programming languages supported by Jelastic, such as Java, PHP, Ruby, Node.js, Python, .NET, and Go is important. Understanding of DevOps practices and experience with CI/CD tools will enhance the ability to automate workflows within Jelastic. Familiarity with cloud service providers and networking concepts is also beneficial for optimizing resource allocation and scaling applications effectively.
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