Big Fish is a carefully formulated solution for the evolving workplace atmosphere in India.
A tool to change the dialogue between the maker and manager in every organization to achieve greater results by keeping employees inspired.
BigFishBenefits had an architecture that was not highly available or scalable for more application traffic & monthly cost is increasing.
BigFishBenefits wanted to restructure their current AWS infra with CIS compliant and 24x7 monitoring.
They also wanted to be able to deploy new infrastructure and application versions more rapidly in an automated fashion, using a CI/CD solution.
WHAT WE DO ?
-Groots proposed a scalable and highly-available architecture for path base web & mobile application, consisting in a Web layer (ALB + Auto Scaling Group), and an Application layer for (ALB + Auto Scaling Group).
-Groots incorporated many thing like, multiple AWS services automation by Terraform, web app automation by Ansible with CI/CD solution for deployments.
-Multiple availability zones and backup/restore strategies provided maximum resilience to server failure.
-Enhanced database performance.
-Database tuning, replication and encryption services improved performance.
The Terraform deployment mechanism now allows fully infrastructure deployments together with new versions of the application (for major application version changes), and the ability to roll-back within minutes. The Terraform deployment was enabled for most of the layers (Web, App, DB and Cache layers).
At the same time, gitlab CI/CD used for situations when minor or patch versions need to be deployed quickly in a rolling fashion and with roll-back capabilities.
We provided open source HRMS Sentrifugo support as well as Groots 24x7 MONITORING & ALERTING Solution.
-EC2, RDS, S3, OS, web & mobile app services,
-Components - Apache, JVM, Redis,
-Domain & SSL certificate expiry.
-Rapid application deployment including small database patches,
-Implemented Groots monitoring 24x7 solution,
-Provide on going support, to monitor & optimized AWS environment.