Elastic Search and AWS

Key Experiences: • Frontend - React, Angular, Javascript Customer satisfaction is my first priority and I always go the extra mile. Project Latest for your reference: ASL is a subsidiary company of AB Ltd. engaging in distribution of wide range of financial solutions and broking services to retail customers. Customers can avail wide range of lending solutions. Apart from lending solutions, AB Direct a brand under which ASL, offers retail broking and investment service, AD account brings all investment options together under one roof, giving you the power to diversify your portfolio AD with 1.7 million+ customers has been awarded "Best Growing Equity B Challenges Experienced difficulties getting search engine to be relevant 1) Manages the huge amount of data: As a comparison to the traditional SQL database management systems that take more than 10 seconds to fetch required search query data, Elastic Search can do that within 10 ms. 2) Direct, Easy and Fast access: Documents are stored in a close proximity to the corresponding metadata in the index. This reduces the no of data reads and as a result increases the search result response. 3) Scalability of the search Engine: As Elasticsearch has a distributed architecture it enables to scale up to thousands of servers and accommodate petabytes of data. The customers then need not manage the complexity of distributed design as it has been done automatically. Result Before implementing Elastic, each search used to take more than 2 minutes resulting in 10 minutes to give an information to the customer by the customer support team. After implementing Elastic, within 15 seconds the customer support team provide the information to their customer resulting in high customer experience and happiness.