Our customer delivers simplified insurance and financial products to every nook of India. With the widest choice of insurance and financial products, they have advisors who work with their smart proprietary technology to guide users through easy buying processes, renewals, and underwriting. It is one of the fastest-growing online distribution
platforms, offering a wide choice of life and general insurance policies along with other financial products.
The customer’s development team was struggling with poor quality of application releases. Without a proper build and release cycle, they were unable to identify critical bugs before the release. This led to a high turnaround time and significant rework to fix the bugs. A fallout of this was an eventual feature deprecation. The infrastructure was unreliable without a stringent process to monitor assets and obtain performance feedback. The team dealt with incessant downtimes, all of which resulted in constant firefighting and low morale.
Automating the CI/CD process removed the manual, error-prone deployments and improved the quality of the release cycles for our customer. Managing the Elastic clusters was easier for the development teams. There were near-real-time insights into the platform usage that helped the team quickly turn around issues. The team also saved significant operational time for administrative functions such as monitoring, failure recovery, and patching with the Amazon Elasticsearch Service. The overall cost saving was around 40%.
The CloudifyOps team implemented the CI/CD process for the customer and adapted it for smaller releases using Jenkins. This brought down the high level of deployment failures and feedback time. The customer development teams were able to look into issues on time. Another significant improvement was re-architecting the customer’s current architecture to microservices. Microservices enable the team to release individual services rather than the entire stack, which
brings in unnecessary security and quality risks. The CloudifyOps team recommended using AWS Elasticsearch Service with other ELK Stack components as an endpoint for better infrastructure and application monitoring and reporting. Custom alerts for programmers, site reliability engineers, and management were set up by
integrating with Kibana. An out-of-the-box anomaly detection from AWS Elasticsearch provided the data and events that contributed to an anomaly, making it easy for the customer’s teams to mitigate the anomalies immediately and reduce risks.
Infrastructure: AWS, RDS, CloudFront, S3, ELB (Applications), API Gateway, Elasticsearch
Technology stack: Django, MySQL, Postgres SQL
CloudifyOps Pvt Ltd, Ground Floor, Block C, DSR Techno Cube, Survey No.68, Varthur Rd, Thubarahalli, Bengaluru, Karnataka 560066
CloudifyOps Pvt Ltd, Cove Offices OMR, 10th Floor, Prince Infocity 1, Old Mahabalipuram Road, 50,1st Street, Kandhanchavadi, Perungudi, Chennai, Tamil Nadu - 600096
CloudifyOps Inc.,
200, Continental Dr Suite 401,
Newark, Delaware 19713,
United States of America
Copyright 2024 CloudifyOps. All Rights Reserved
