Deployment

Backend Developers spend a lot of their time building their application in a sandbox-like development environment.

But eventually, the moment for deployment will arrive – when developers make their application public, and users can start to use it.

When an application is ready for deployment, it’s then shifted to a production environment – also called a prod environment. Imagine the difference between a development environment and a production environment as the difference between practicing a speech in the mirror, versus presenting it to an actual audience.

Deployment doesn't always go smoothly. Often, an application will work perfectly in a developer’s unique development environment, but when they package it all up, and deploy it somewhere else, it suddenly breaks.

In simple terms, the same application can behave slightly differently in two different environments. Fortunately, there is a solution: container deployment.

With container deployment, developers package an application and all its dependencies into a single package known as a container. The container itself is a stable environment which safely shelters the application, and makes sure it isn't affected by changes between the development environment and the prod.

In backend development, you can either deploy locally or remotely.

Local deployment is the process of setting up a backend application on a local machine or server. This method is often used for testing purposes before the application is deployed to a live server. Basically, it's another step between sandbox and prod.

Local deployment allows developers to identify and fix issues before the application is made available to the public. For instance, if a developer redesigns the user interface, they could deploy that change locally first to make sure all the buttons did what they were supposed to.

Remote, or cloud-based, deployment involves hosting backend applications on a cloud server, such as Amazon Web Services or Google Cloud. This method of deployment is more scalable, flexible, and can be more cost effective because instead of needing to decide on all your storage and server costs up front, you can rent space from a cloud server that scales up and down to meet changing user demand.

As the user base grows, more resources can be allocated to handle the increased load. Conversely, during periods of low usage, resources can be scaled back to save costs.

Cloud-based deployment also provides benefits such as automatic updates and disaster recovery options. Automatic updates ensure that the application is always running the latest version, while disaster recovery options provide a safety net in case of data loss or server failure.

Load testing and stress testing are common methods used to test the performance and stability of a deployed application.

Load testing involves simulating a high volume of concurrent users or requests in order to assess the application's ability to handle heavy traffic. This helps to ensure that the application can handle peak usage periods without performance degradation, providing a smooth and responsive user experience.

Stress testing, on the other hand, involves pushing the application beyond its normal limits to identify any potential weaknesses or points of failure.

Even with container deployment, things can still go wrong.

One of the most common deployment issues is server configuration errors. For example, a developer may mistakenly provide the wrong database hostname in the configuration file. Instead of "db.example.com," they accidentally write "db.example.cmo", and the entire application fails.

To figure out what went wrong in the deployment, developers can check the application logs which contain a record of events and activities during the application's runtime. They can also verify server configurations by confirming that database connection details, API endpoints, security settings, and other configurations are accurate.

Automating the deployment process is a good best practice to adopt. In an automated deployment, the process of packaging the application and configuring the server settings can all be scripted and controlled by deployment tools, making typos and misconfigurations less likely.

Version control is also critical as it lets developers maintain a history of code changes, including additions, modifications, and deletions. That way, if a deployment introduces unexpected issues or errors, version control makes it possible to revert to a previous known-good version.

Monitoring the application's server performance is also important. If the server's response times increase unexpectedly, it could indicate an issue with deployment.

After deploying an application, Backened Developers will need to continue maintaining it.

Regular updates ensure that the application remains secure, up-to-date, and capable of meeting user needs. These updates might include incorporating security patches, bug fixes, and new features into the application. For example, when a security vulnerability is discovered in one of the software libraries used by the application, the Backend Developer must promptly update the library.

Maintenance tasks may also include managing user access. Imagine a developer leaves a company. That user should no longer have access to any systems. During routine maintenance, Backend Developers can double check that any old employees have been properly removed from the system.