Your re using a client on your browser as you read this article and a server at the back end that is serving this web page.
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Web Client Whenever we are using any software application today, we would be using a client server technology in 90% o fetch cases.Students of statistics could immediately relate to probabilistic determination of outcomes of events based on certain input parameters while students of Mathematics could identify this with linear algebra and matrix transformations. The primary objective of Machine Learning is to make an inference about an even based on certain input values. It traces itself back almost for a century in Mathematics. Machine Learning Machine learning Machine Learning is a term that has been used in Mathematics, Statistics and Computer science for quite a few decades.Runtime environment creation is therefore itself automated…
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. This is where the confluence of Software Development (Dev) and IP Operations (Ops) happen and this crucial function has been named DevOps.
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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.
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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. 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 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. DevOps DevOps has become a hot topic over the last decade as computing has increasingly become distributed and cloud based.It is fascinating to see how cloud services… Cloud services had its initial hiccups for adoption both by consumers and enterprise customers. Cloud services have also seen steady evolution to address high availability, high performance and data and identity security. This has been enabled by the availability of high speed broadband internet and intranet and a combination of these services has given rise to Software as services and Micro-services within large consumer facing applications.
Over the last decade Cloud services has seen amazing growth. Bare metal servers are increasingly being used as a collection of Virtual machines.
Today’s server technologies are getting increasingly implemented on the cloud with physical Data Centers migrating several services to cloud based providers. Virtualisation technologies have provided a hug boots to cloud computing making it truly affordable at a consumer grade. Could computing traces its origins from distributed computing and distributed storage. Cloud computing has now become on the most exciting technologies being rapidly adopted by large enterprises across the world. The actual popularity stated in 2010 onwards when large scale deployments of networked servers started moving into the consumer space.
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