Revolutionize your development and deployment process (CI/CD Containers)

Take advantage of cloud and agile development practices for faster, more efficient, and reliable deployment of applications and services.

It facilitates the migration of physical infrastructure to AWS while implementing a DevOps cycle for automated deployment in containers.

The steps include:

• Needs Assessment and Planning

• Designing a cloud architecture

• Data migration

• Adapting applications

• This solution allows customers to take advantage of the flexibility and cost efficiency of AWS, accelerating time to market and improving organizational agility.

How does it work?

Illustration 1 Base architecture, but not limited, can be modified according to the needs of each client.

The architecture is designed to work with a Continuous Integration and Continuous Delivery (CICD) process in three phases (Origin, Construction and Implementation).

First phase:

Developers submit the code to an AWS CodeCommit repository and trigger the pipeline created with the AWS CodePipeline service.

Second phase:

A container is run in the AWS CodeBuild service to carry out a series of steps (commands) specified in a file called “builspec.yml”. In this step, the Docker image is created based on the code from the AWS CodeCommit repository and sent to a Docker image repository in the AWS ECR service.

Third phase:

The new Docker image created in the previous step is implemented in the AWS ECS service using Fargate technology.

In addition, the container is exposed on a port within layer 7 of the OSI model and is consulted through an Application Load Balancer by end users.

As for the network, we manage public and private environments. In addition, security groups (virtual firewalls) are configured to allow only the ports needed for our Application Load Balancer (ALB) and our container in AWS ECS.

As an additional service, we offer Trend Micro - Trend Vision (Container Security) to add more security to our environment. This service offers threat detection, rapid risk correction, reliable deployments, and instant run-time visibility.

Features

It offers a number of fundamental features that drive the development and management of applications effectively and efficiently. The following are the main features of this infrastructure:

1. Comprehensive Automation:

It automates the process of integrating, testing and delivering applications from development to production.

2. Continuous Integration (CI):

It automatically integrates the new code into the main repository and runs tests to ensure quality and detect problems early.

3. Continuous Delivery (CD):

It allows the continuous and reliable delivery of applications to test and production environments, reducing the risk of errors in manual deployments.

4. Containers for Portability:

It uses containers to encapsulate applications and their dependencies, ensuring portability between different development, test and production environments.

5. Container Orchestration:

It uses container orchestration services, such as Amazon Elastic Container Service (ECS), to efficiently manage and scale containers.

6. Automated Container Deployment:

It automates the deployment of containers in production environments, ensuring a reliable and repeatable deployment.

7. Implementation Strategies such as Blue/Green:

It uses deployment strategies, such as Blue/Green, to facilitate the seamless transition between application versions and the ability to revert changes if necessary.

8. Dynamic Scalability:

Take advantage of the dynamic scalability of AWS to adjust resource capacity according to workload demands.

9. Resource Efficiency:

Containers enable efficient use of resources by isolating applications and limiting allocated resources.

10. Real-Time Monitoring and Management:

Implement monitoring solutions, such as Amazon CloudWatch, to monitor performance and health

11. Security and Compliance:

Configure security policies and use security services, such as security groups and AWS Identity and Access Management (IAM), to protect resources and data.

12. Reducing Operating Costs:

Automation, efficiency and scalability can reduce operating costs. In addition, AWS offers flexible pricing models.

13. Agile Development Cycle:

The combination of CI/CD and containers allows for an agile development cycle and the ability to respond quickly to changing market demands.

Benefits

1. Higher Speed of Development:

CI/CD automates key processes, accelerating development time. Code updates are integrated and deployed on a continuous basis, meaning that changes reach production more quickly.

2. Higher Software Quality:

Test authorization and continuous validation ensure higher software quality. Errors are detected and corrected earlier in the development process, reducing costs and avoiding production problems.

3. Efficiency in delivery:

Automated continuous delivery allows for more frequent and predictable releases. This translates into a more efficient delivery process and a greater capacity to respond to market needs.

4. Reduction of Human Errors:

Automating manual tasks reduces the risk of human error in development and deployment. This leads to greater reliability and a lower likelihood of unplanned interruptions.

5. Greater Flexibility and Portability:

Containers are portable and can run in any environment that supports containers, making it easy to migrate between development, test, and production environments on AWS.

6. Dynamic Scalability:

AWS provides scalability on demand, allowing you to increase or decrease resources according to needs in real time. Containers can be easily scaled up to handle increased loads.

7. Cost Savings:

Automation and efficiency improve resource utilization, which can reduce operating costs. In addition, AWS offers flexible pricing models that allow you to pay only for what you use.

8. Security and Compliance:

AWS provides a wide range of security and compliance services that help protect containerized data and applications. IAM policies and security groups can be configured to ensure secure access.

9. Simplified Administration:

Containers on AWS can be centrally managed through services such as Amazon Elastic Container Service (ECS).

10. Greater Agility in the Market:

The combination of CI/CD and containers allows for faster delivery of new features and fixes. This improves the organization's ability to adapt to changing market demands.

11. High Availability and Fault Tolerance:

AWS is designed to be highly available and fault-resistant. Containers on AWS can take advantage of this infrastructure to ensure high application availability.

Problems it solves:

It solves various problems that may arise in software development and application management.

1. Developmental Delays:

CI/CD speeds up development time by automating integration and delivery, avoiding implementation delays

2. Production Errors: Automating CI/CD tests reduces the possibility of production errors by detecting problems early.

3. Elimination of Manual Errors: Automation in CI/CD ensures more reliable delivery by eliminating human errors in manual tasks.

4. Simplifying Infrastructure: The use of containers on AWS simplifies the management of applications by encapsulating them and their dependencies, reducing infrastructure complexity.

5. Consistency between Environments: Containers provide portability and consistency between environments, avoiding problems caused by differences.

6. Scalability and Simplified Administration: AWS offers dynamic scalability and easy resource management, addressing scalability and administration difficulties

   of applications.

7. Reduced Operating Costs: Automation and efficiency in CI/CD can lower operating costs, supported by flexible pricing models from AWS.

What does the customer need to be a beneficiary?

Target Customers:

• Companies that have software developed by them or own the code.

• Companies that have knowledge and interest in container technologies.

• Companies that use microservices in their developments.

• Companies that seek to incorporate DevOps methodologies to create continuous integration and deployment pipelines.

• Developments in Python and PHP.

Necessary knowledge on the part of the customer:

• Advanced knowledge of Docker technologies

• Software Development Skills