DevOps has become a much discussed topic over the last decade as computing has increasingly become distributed and cloud based. The traditional model of slow stages from coding to testing to build and deploy has been found to be in adequate to serve the need of rapid development across sites and across time zones. With the Agile process production level code will have to be built and deployed on multiple servers and VMs across data centres and cloud zones.
The configuration management of software application code and other resources, build management and runtime environment during deployment are getting highly complex and therefore require a seamless pipeline. This pipeline needs to be automated to reduce human error and also to deploy new applications and update old ones on maybe thousands of servers and VM instances in a large cloud service. This is where the confluence
of Software Development (Dev) and IP Operations (Ops) happen and this crucial function has been named DevOps.
Unlike yesteryears when an application used to run on a single , sometimes proprietary tech stack, modern applications on server side and cloud services leverage multiple tech stances , libraries and runtime environments. Runtime environment creation is therefore itself automated through Server provisioning script that are quite complex based on several dependencies and configuration parameters. Provisioning runtime environments entails a synchronisation with development environment and staging or intermediate integration environment. This is achieved through an automated and scalable DevOps process called CI/CD – Continuous Integration and Continuous Deployment.
CICD tools offer that critical service for cloud services architecture wherein teams across timezones can update code and resources on distributed repositories, test and integrate, build and deploy through a robust pipeline.
Dockers help to bring about consistency in runtime environment when the deployment teams does not need to spend time of bringing up the runtime environment but can just start or stop a docker environment within the deployment script. The docker technology itself has evolved to achieve scale when this procedure needs to be applied to hundreds of servers across networks. Docker swarms have been used initially, but a tool called Kuberntes or Kube has proved to be highly efficient and is being used by several large cloud server providers.
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NVIDIA® CUDATM technology takes advantage of NVIDIA GPUs’ massively parallel computing capacity. The CUDA framework is a ground-breaking massively parallel architecture that brings NVIDIA’s world-class graphics processor expertise to general-purpose GPU computing. Applications written in the CUDA architecture can utilize CUDA-enabled GPUs present in millions of desktops, notebooks, workstations, and supercomputer clusters. Developers are gaining…
Software development can be a complex and daunting process, with countless lines of code to manage, teams collaborating from different parts of the world, and constantly evolving technologies. As such, it’s essential for any software development team to use efficient tools and processes that streamline their workflow and promote productivity. One such tool is configuration…
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Are you new to coding and wondering what Git and Github are all about? Or have you been coding for a while, but still confused about the differences between these two commonly used terms? Look no further! In this blog post, we will break down the basics of Git and Github, explain their differences, and…
