Our Devops brings AWS Experiences to scale our SaaS products in a highly secured cloud environments
Our SaaS products development is being done by Software Engineers Experts
Our products are being designed by the most modern UX best practises, in order to provide smooth end-user experiances and maximize day-to-day user comfortability.
The proposed schema is able to store the real-time data generated in a supply chain with low latency.
Our Technological Development, Software and Products are driven by security. We're Using Cloud Cyber-Security best practises. Our SaaS products, Coded by Expert Software Engineers, Guided by Marketing Experts and Product Managers, Provides all around solutions for Online Marketing.
We use smart computer algorithms to generate in-depth insights and business intelligence to completely comprehend your affiliate marketing needs. Software as a Service (SaaS) applications fully exploit the potential of elastic Cloud computing Infrastructure as a Service (IaaS) platforms by enabling new highly dynamic Cloud provisioning scenarios where application providers could decide to change the placement of IT service components at runtime, such as moving computational resources close to storage so to improve SaaS responsiveness.
A SaaS application inside a Cloud environment can be viewed as a collection of opportunely configured service components deployed into a set of dynamically created IaaS resources. Novel Cloud computing infrastructures consisting of worldwide fully interconnected data centers offering their computational resources as IaaS on a pay-per-use basis are opening brand new challenges and opportunities to develop novel SaaS-based applications
Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as ‘Big Data’ that is a global phenomenon. This is typically considered to be a data collection that has grown so large it can’t be effectively managed or exploited using conventional data management tools: e.g., classic relational database management systems (RDBMS) or conventional search engines