de monolitos a microservicios

From Monoliths to Microservices: Four Successful Strategies

When migrating from monoliths to microservices, and with the aim of improving deployment times, development and operations teams face strong pressure to streamline deployment and break it down into specific independent components to limit the impact of an update and mitigate risks. This entails transitioning from monolithic components and applications to microservices structures, as any change in monoliths typically requires modifying the entire application. Additionally, moving to the cloud is often associated with a shift in perspective, as it is more optimized for microservices.

The lift-and-shift option of migrating a monolithic application to the cloud and gradually modifying it to create complementary microservices is not easy and tends to pose problems. It is preferable to conduct a deeper refactoring and create services and microservices from the monolithic application.

To achieve this, there are four strategies that help ensure a successful migration to microservices.

1.  Understanding the Monolith

Monolithic applications tend to be fragile due to their complex dependencies and interactions among internal components. Fragmenting them can easily lead to disruptions and issues.

Before initiating the process, it is crucial to prepare for this migration by accurately mapping out the interactions between components and any existing dependencies. Deep understanding of the actions performed by the monolithic application is essential to avoid problems. Therefore, defining a clear plan of dependencies and functions for the entire application is necessary.

We recommend leveraging tools to automate this mapping process to avoid human errors. This allows for real-time visualization of the application and the creation of topologies based on transaction traces and calls. Ultimately, this results in a graphical representation of components and interactions that should serve as the foundation for subsequent development

2.  Transitioning in Increments

Refactoring a monolithic application to utilize Kubernetes containers is a sizable and complex task, often involving restructuring and development from scratch. Therefore, it is crucial to break down this task into smaller, incremental steps that are easier to manage.

After mapping out the application, DevOps teams can gradually replace its components with microservices, one by one. This allows each microservice to be tested individually before moving on to the next one. By comparing it with the monolithic application and observing its performance and resilience.

Una vez la aplicación se comporta de igual manera con el microservicio que con la versión monolítica, se puede eliminar las dependencias al antiguo componente monolítico. Y, entonces, empezar a desarrollar el siguiente microservicio.

3.  Creating Lightweight Dependencies

The interwoven dependencies of monolithic applications are one of the reasons why migrating to microservices is beneficial. These dependencies hinder flexible changes and agile deployments.

When migrating to microservices, it is vital to understand these dependencies and minimize them to the necessary minimum. It’s crucial that inter-application messaging is asynchronous and queues are utilized.

Implementing asynchronous communication reduces the chances of creating bottlenecks and facilitates the ability to change or replace individual microservices.

4.  Implementing monitoring throughout the process.

When migrating from monoliths to microservices on Kubernetes, it entails transforming an application into multiple micro-applications, each with its own technology, running independently. This complexity often makes monitoring and reviewing more challenging.

Similar to mapping out dependencies of the monolithic application before migrating, it’s essential to maintain maps of microservice environments that are observable at each step of the process. This involves using log data, metrics, and component traces in cloud technology to understand the relationships between services and their dependencies.

This monitoring should extend to every component of the application, including clusters, nodes, pods, workloads, etc. When an incident occurs, monitoring data should enable the DevOps team to identify the root cause of the problem, thus facilitating rapid resolution.

For greater efficiency, teams should utilize monitoring platforms that consolidate all data from the application and infrastructure used. This platform should also employ AI to provide precise insights into the health of environments. By doing so, we can automate aspects of the review and problem-solving process.


Migrating monolithic applications to microservices can be challenging and time-consuming. However, once the migration is completed, DevOps teams are free to be more interactive and flexible, while also making better use of cloud services.

The work invested in the migration will yield long-term benefits. Adopting modern technologies such as integrated monitoring or AI to facilitate migration allows teams to optimize environments and deployments. This paves the way for further improvements and new developments while reducing future costs and gaining competitive advantages.

Daniel Morales – Cloud Enginee