Government App Maisters Inc. is recognized as one of the top digital solutions provider in the United States. bringing digital transformation solutions to federal government, state & local government, higher education, and K-12 education

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Wizard publications – Geospatial Data Sites Migration

Background

The Customer was running multiple applications on NetMagic data center. They were looking to migrate all their applications to AWS Cloud. App Maisters conducted a 3 days workshop with the client to study 10 critical applications and their technical landscape. After the complete understanding, we decided to migrate to AWS in 2 phases. In Phase 1, delivered earlier by App Maisters, we helped the customer migrate 5 of their most business critical applications to AWS Cloud. As part of the second and last phase, 5 more critical projects were migrated to move to AWS Cloud.

Solution

The projects were segregated according to the dependencies within the projects.

A detailed migration plan was prepared.

Best practices in terms of network and security were put in place.

All the projects were hosted within a single VPC

VPN connection was set up between AWS and customer office premises.

Each project was architected with high availability at all layers according to the requirement of the project.

Entire infrastructure was set up for functional testing of the application.

Implemented data lake for the backup solution successfully into glacier

Implemented a POC on APM tools to find out issues with the performance of the code

Central logging was put in place for most of the critical projects using ELK stack.

For the layers requiring auto-scaling, auto scaling groups were used and appropriate listeners configured.

RDS was used in the projects where the customer was using PostgreSQL.

Results

All the business critical applications were migrated to AWS in a smooth and planned fashion with minimum downtime over a 3 month period.

AWS Autoscaling helped to keep the application up when there was high load on the applications.

Usage of spot instances and reserved instances helped in optimising the cost and produced a savings of approximate 30% over on-demand

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