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The Evolution of Software Development: Agile, DevOps, and Microservices

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Manasi Mali
The Evolution of Software Development: Agile, DevOps, and Microservices

First, let’s take a quick look at the history of software development strategies and how they’ve evolved to meet changing business needs. Second, let’s talk about how DevOps as well as Microservices offer the next step in this evolution and help businesses better deliver on their promises to their customers. Finally, let’s go over some resources you can use to learn more about these topics and get started with them in your own company.

Evolution of modern software development

Software development strategies continue to evolve to meet changing business needs. Agile software development and DevOps have become the norm as companies strive to develop better, faster, more flexible applications. The next evolution in application development is microservices- building small components or services that work independently yet together they make up a larger application. This approach has many benefits over the traditional monolithic application approach including simplified testing cycles, reduced deployment time frames, easy deployment of updates without having to upgrade the entire platform with each update.

Who will benefit from microservices?

Microservices are the next step in the evolution of enterprise application development. Every software team is faced with making trade offs between agility, productivity, quality and support when developing an application. At its core, microservices promote innovation by creating flexible architectures that help you customize your application for better user experience. As a result, customers need to invest less time and money on upfront design work and heavy coding, instead using lean methodologies like Agile software development to manage their application's lifecycle. In addition to increasing overall productivity, agile strategies can also reduce costs as well as improve customer satisfaction.

How to build microservice-based architectures

When building microservices-based architectures, it's important to design the application development lifecycle in a way that will support both incremental changes to individual services and create an architecture that allows for smooth coordination across those services. These goals can be accomplished by leveraging Continuous Integration (CI) and Continuous Delivery (CD) pipelines. If a service needs to be changed or updated based on new requirements or feedback from clients, the update should first be applied to an isolated sandbox environment before going into production. For these types of applications, CD pipelines are critical because they help minimize downtime while also reducing the risk associated with deploying an update to production. CI/CD pipelines also allow developers to automate much of the deployment process so that tasks such as deploying new code or updating databases can be performed quickly and easily.

·       In addition, CI/CD pipelines have become a key component in enterprises' efforts to build out their continuous delivery capabilities as they work towards delivering better products faster.

What are microservices?

An application can be built using microservices in three ways:

·       A company could hire an external company to build them a single service; this may make sense if the company needs something that's beyond their capabilities. There are vendors that will host your code on their platform as a service. That way they take care of scaling, backups, etc.

·       An enterprise organization could use an agile software development process to develop the software incrementally, with each release going through CI/CD pipeline. Continuous integration (CI) is the practice of merging all developer working copies to a shared mainline several times per day. It aims at reducing integration problems between software modules by having developers identify and resolve conflicts early.

·       CI should always include static code analysis, unit testing, functional testing, performance tests for relevant systems (and even for non-relevant systems like general issues), exploratory testing, etc.

Writing a microservice in Python

·       By using the right DevOps tools and frameworks, it’s possible to build and deploy a Python microservice in just one hour, complete with monitoring and logging. Here’s how you can do it, too.

·       Using Python to build a microservice can be a great option if you’re looking to simplify the DevOps process. Microservices in general have many benefits, and in this guide, we’ll show you how to build one with Python. Here’s what we’ll cover: how microservices are beneficial, how to build the microservice, and how to deploy it.

·       Microservices are the next step in software development because they offer all the benefits of agile software development and DevOps but with a reduced implementation cost. Developers can now use CI/CD pipelines for microservice implementation. CI stands for continuous integration, which is a process that automates integration and testing of code by executing these tasks on an automated basis. CD stands for continuous delivery, which means that after each successful CI run you have an updated version of your application that is ready to deploy at any time. In other words, there is no need to wait until the entire product has been built before it goes live—you could release new versions continuously as they are developed if you want to update your customers or users more often.

Best practices for microservice architecture

First, choose a base language to write your services. You can choose the language you are most comfortable with or one that is popular in your field. Next, identify the tools and technologies you will need for building the microservice. Do you want to use Continuous Integration/Continuous Delivery (CI/CD) pipelines or Object Relational Mapping (ORM)? Choose CI/CD pipelines if possible as this allows you to speed up software development cycles as code is tested before it goes live. If CI/CD pipelines are not available then start with Unit Testing. ORM works best when developing enterprise level applications as they already have an established database schema.


What we do

Microservices are the next step in software development and we offer all the benefits of software development and DevOps As we are One of the leading DevOps consulting services providers in the US, KPI-Tech works to provide the best consulting services for DevOps with the assistance of seasoned DevOps engineers. Technical proficiency is the key factor in how we vary from other DevOps consulting firms in the US.

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