Application modernization is the refactoring, re-purposing or consolidation of legacy software programming to align it more closely with current business needs. View our infoblog on Application Modernization
Anomaly simply means something unusual or abnormal. We often encounter anomalies in our daily life. It can be suspicious activities of an end-user on a network or malfunctioning of equipment. Sometimes it is vital to detect such anomalies to prevent a disaster.
Multi cloud is the use of multiple cloud computing and storage services in a single heterogeneous architecture.
By integrating quality at every step of the software development lifecycle, companies can create products that set new standards of quality in the market. It’s clear that Quality Engineering is now a strategic function with the potential to deliver a competitive advantage.
Kubernetes supports a microservices architecture through the service construct. It allows developers to abstract away the functionality of a set of Pods and expose it to other developers through a well-defined API.
Based on IDC analysis, business agility and/or the need for speed from IT and improved security are the top most important trigger factors for considering cloud, in contrast to cost. The market is in need for more consistent and standardized automated cloud resources to enable developers and line-of-business to execute at speed and in a more cost-effective manner.
Machine learning is about using data to build intelligent artefacts that learn over time. It involves collecting and analysing large amounts of data to extract information using various computational structures and algorithms.
Cloud Modernization may be used in varied sense of its meanings. However for businesses, it means, transforming your infrastructure and applications so that cloud provides best ROI on an ongoing basis. Using cloud modernization to unlock the value of your applications and data, by synergizing them with modern tools of analytics and AI.