MICROSOFT WORKLOADS

ELFA MEDICAMENTOS

Executive Summary

About the Client

In recent years, Elfa has undergone a series of transformations in its business, with a wide growth in its operations and performance in the market. With all this growth, digital transformation has also become a major challenge for the company. In this sense, in 2020 the company decided to start a path of complete migration of its technology operations to the public cloud. Previously, the entire IT infrastructure was dispersed in multiple locations, with decentralized management, making the challenge of growth even greater. Thus, the project started with a deep process of strategy building and evaluation of market solutions, as well as, choosing the ideal partners to implement the project. With the choice of AWS and Valcann, the entire project was conducted with the scope of:

Elfa Medicamentos

Thirty years ago, through the dream of a Brazilian entrepreneur, Elfa was taking its first steps in building a company that would change the scenario of distribution of medicines in Brazil. Elfa ceased to be a family business, moving to professional management and conquering new territories, reaching the highest growth rate in its segment in the country. With a great history, full of recognition and credibility in the health sector, Grupo Elfa today is one of the most respected companies in the health segment in Brazil.

Case Description

What was proposed:

In recent years, Elfa has undergone a series of transformations in its business, with a wide growth in its operations and performance in the market. With all this growth, digital transformation has also become a major challenge for the company. In this sense, in 2020 the company decided to start a path of complete migration of its technology operations to the public cloud. Previously, the entire IT infrastructure was dispersed in multiple locations, with decentralized management, making the challenge of growth even greater. Thus, the project started with a deep process of strategy building and evaluation of market solutions, as well as, choosing the ideal partners to implement the project. With the choice of AWS and Valcann, the entire project was conducted with the scope of:


Technical enablement

The main challenge of Elfa Medicamentos' project was the readjustment of the architecture of the TOTVS Protheus application. The topology of the Protheus application is divided into 4 main blocks: frontend layer (client), load balancing layer (application server), data model layer (application server), database layer (SQL Server). In the case of Elfa, the migration was not just a manual rehost process, but it was necessary to redesign and reconfigure the entire application infrastructure. Previously, they had few application server nodes, which created a bigger bottleneck and single points of failure in the environment. Valcann carried out a comprehensive study to re-evaluate the best application architecture.


AWS Services deployed: 


Customer issues and concerns that have been overcome:

1. Operational excellence

1.1. Implementation of continuous monitoring with Amazon CloudWatch;

1.2. Integrated connectivity with high available multi zone (Multi-AZ);

2. Security

2.1. Implementation of Amazon GuardDuty for intelligent monitoring of infrastructure perimeter;

2.2. Restriction of external access to the environment, with segregation between private and public subnets for back and front end, respectively;

2.3. Access to the AWS environment for VPN-only administration;

2.4. Encryption of data at rest and in transit.

3. Reliability

3.1. Multiple instance nodes, making it possible to balance reading and writing operations;

3.2. Minimal failover between nodes;

3.3. Using Amazon Data Lifecycle Manager to implement snapshot-level backups.

3.4. Automatic backups of the database layer;

4. Excellence in performance

4.1. Calculation of expected environment demand for rightsizing.

5. Cost optimization

5.1. The monitored environment, with a continuous flow of monitoring for rightsizing.


Third-party solutions applied:


Project schedule:

Project Start: October, 2020

Projet End: March, 2021


Key Results:


Lessons learned: