What does a typical enterprise application consist of?
When writing a project from scratch, we should immediately determine which database is best suited based on the project's objectives.
Logging. It's not enough to just configure it; you need to choose a service that will save logs. Without logging, it is often impossible to understand problems in production, and restoring any artifacts becomes a challenge.
Metrics and health checks. We cannot, having launched a project, forget about the already created part of it while we develop the next one. The service may go down and we won't know. Downtimes always mean financial losses for a business, and they shouldn't happen. To prevent them, you need to proactively, based on business metrics, understand what is going wrong and fix the situation. Developers should learn about bugs and problems in the product faster than the customer.
In addition to logging, it is crucial to provide error tracking or exception tracking and a service that will store errors separately. The tracking service helps group, analyze, and filter errors, track their frequency, provides more detailed information than logs, and quickly sends error notifications. You can integrate error tracking with chats. Custom integrations are also an option, such as the service sending messages about detected errors to developers' phones.
Effective communication between services must be established within an enterprise application: tasks must be completed promptly; the load must be distributed evenly.
The application will need adjustments for deployment. Therefore, the developer needs to understand how the infrastructure will be deployed. For example, deciding on containerization - selecting services and configuring them correctly.
There may be DevOps specialists on the project, but this does not mean that responsibility for the deployment process rests solely with them.
If we have a monolith, we can cache data in memory. If we use microservices with several individual service instances,caching each one in memory becomes impractical. It is unclear how to update them later synchronously. In this case, a distributed cache is the solution: a separate service should be established that stores specific data and provides quick access to it. As a rule, this is a key-value store.
Separate file storages. Why? Because simply storing files on disk is not convenient, and storing files in a database is problematic. Therefore, enterprise projects often use separate file storages as another infrastructure service.
For tasks related to data display, a visualizer should be connected. This makes monitoring metrics and logs and tracking health checks more convenient.
A separate block – code style and analyzers. When the team is already large or medium-sized, everyone can write code differently. This sometimes leads to controversy in code reviews. Therefore, enterprise projects often use analyzers that automatically identify problems, potential errors and ensure a unified code style.