Back-end Development
Why is back-end development required? What does it entail?
Back-end development is the term for server-side web development, where the emphasis is on a website or web application's internal workings. This covers activities like database administration, server-side scripting, and the development of APIs (Application Programming Interfaces), which enable interaction between the application's front-end and back-end.
Because it drives the functioning and effectiveness of a website or web application, back-end development is essential. A website or web application's front end wouldn't be able to access and use the data and services it needs to operate correctly without a reliable and effective back end. Additionally, back-end development contributes to a website or web application's scalability and security, both of which are essential for the long-term success of the latter.
What distinguishes a SQL database from a NoSQL database?
Two databases are used to store and handle data: NoSQL (Not Only SQL) and SQL (Structured Query Language). The key variations between the two are as follows:
- Structure: Tables, rows, and columns are used in SQL databases to organize and store data according to a set schema. Typically non-relational, NoSQL databases store data in a flexible, semi-structured format, such as JSON documents.
- Query language: For data interaction, SQL databases employ a fixed, declarative query language. NoSQL databases may employ any number of query languages, such as document-based, key-value, and graph-based ones, or none at all.
- Scalability: NoSQL databases are designed to be highly scalable and can handle extraordinarily huge amounts of unstructured data. SQL databases can scale as well, but may need more advanced scaling techniques like sharding or clustering.
- Consistency: Strong consistency provided by SQL databases ensures the accuracy and correctness of all data. On the other hand, NoSQL databases may provide eventual consistency, which means that the data may not always be current and accurate across all database nodes.
The particular demands and requirements of the application determine whether to use a SQL or NoSQL database. For instance, if the application requires complicated, multi-table joins and transactions, a SQL database could be a preferable option. A NoSQL database would be a better option for this application because it needs to manage a sizable amount of unstructured data and scale horizontally.
Practices in deployment and DevOps
The management and automation of the process of releasing software into production is done using the concepts of deployment and DevOps.
Moving code from a development or testing environment to a real-world production environment is referred to as deployment. This procedure may include several steps, including creating, testing, and releasing, and may be carried out manually or automatically using CI/CD pipelines or a dedicated deployment team.
By promoting cooperation and communication between the development and operations teams, DevOps seeks to accelerate the delivery of high-quality software while maintaining its quality standards. Continuous integration and delivery (CI/CD), infrastructure as code (IaC), monitoring and logging, and disaster recovery planning are just a few examples of DevOps methods. DevOps strives to make it possible for businesses to deliver software and services to clients quickly and effectively.
Deployment and DevOps strategies work together to increase the speed and dependability of software delivery, allowing businesses to react swiftly to shifting market conditions and client demands. Additionally, it lowers the possibility of downtime and raises the general level of software and service quality. Read more.
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Overall, backend development https://www.axon.dev/services/back-end-development focuses on the underlying functionality and infrastructure of an application, enabling it to deliver data and services to the frontend or client-side of the application.