Microservices is a term coined in software architecture to describe a way of developing systems. In this approach, each component is designed, developed , and deployed independently.
This same explanation could be referring to another approach, SOA, which is Service-Oriented Architecture, right? Many people argue that microservices are an evolution of SOA. However, they have some important differences, which is what we’ll show in this article.
Keep reading!
What are Microservices themselves?
Its central idea is to divide tasks as independently as possible. In other words, the concept of Microservices Architecture is to create a set of small, autonomous services, each of which is decoupled and must implement a single functionality.
Microservices architecture is the opposite of monolithic applications, which are easier to build, test, deploy, and update.
And in practice, how do Microservices work?
This architecture is one approach. So the idea is to develop a single application as if it were a service switch, where each service europe cell phone number list runs its own process and maintains its own data. All of this is typically implemented through simple communication processes, such as an HTTP API .
The difference with Microservices is that everything is built through small responsibilities and published in automated deployment processes – and completely independently .
This makes it possible to write a single application using different stacks; that is, many languages and databases can be used, as long as everything communicates in a standardized way.
In what cases are Microservices indicated?
They should be considered in the following situations:
- Large applications , requiring a high release rate;
- Complex applications , which must be highly scalable and expandable;
- Applications with advanced domains or many subdomains;
- In an organization with small web development teams.
From everything we’ve said so far, it’s clear that this architecture is closely related to other practices used in web development, such as Continuous Integration, Containers, and DevOps.
The simple ability to deploy each checking the one-time password service independently is what unites all of these practices.
What are the main challenges of Microservices?
Like any other architecture, microservices has its advantages and disadvantages. Often, solving one problem ends up causing another, which is usually simple to solve or not.
Even the microservices architecture, which is simple in its conception, presents some challenges that can jeopardize the design of an application.
This is precisely why it’s necessary to understand when and how to use the processes that will need to be established during deployments, integrations, and troubleshooting critical errors.
Learn about the main challenges below:
Complexity
The first challenge worth addressing is complexity. A microservices application has more moving parts than a monolithic equivalent. Therefore, each service ends up being simpler, but the system as a whole becomes more complex.
Good management and orchestration of Microservices is essential for the success of the service.
Development and testing
The development and testing phase, involving many service dependencies, requires a different approach. Therefore, billing across service boundaries becomes very complicated.
Studies show that service log costs increase by an average of 21%, and that even troubleshooting becomes 73% more complicated, making this a significant issue worth analyzing.
Latency
As we say, communication between Microservices is mostly done through an API gateway, with HTTP calls, so latency and network congestion are a reality.
More data stored
Another point that ends up being a challenge is managing the increase in information generated by microservices . A study shows that 17% of teams using them don’t know how to manage this information long-term.
All this happens precisely because of the nature of Microservices: having data generated independently of each other.
To overcome these and other challenges, it’s essential to plan API development well so that it’s not overly verbose and utilizes asynchronous communication.
Good practices in the use of Microservices
As this is still evolving, the best practices we’ll be scoring aren’t definitive, but they’re a good way to get started.
Additionally, it’s important to note that these are the tips Microsoft recommends for proper use of Microsoft Azure . Check them out:
- Services should be modeled around the business domains;
- Decentralizes power, as autonomous and individual teams work best in this task of designing and creating services;
- Data storage must be private;
- Services communicate fax list through APIs, so avoid leaking implementation details;
- It avoids coupling between services, that is, it does not create shared database schemas and much less rigidity in communication between services;
- Let the gateway handle API calls and details like authentication and SSL communication, among others, more fully;
- It leaves domain knowledge outside the gateway, so that it can only handle and route requests without any knowledge of the domain logic;
- Services must have loose coupling and high functional cohesion;
- Use resilience strategies to prevent service failures.
