Table of contents
Introduction:
Software development and operations are combined to form the term "DevOps".This enables one team to manage all stages of the lifetime of an application, from development to testing, deployment, and operations. DevOps can be best explained as people working together to conceive, build and deliver secure software at top speed. It is defined as a software engineering methodology that aims to integrate the work of development teams and operations teams by facilitating a culture of collaboration and shared responsibility.
Waterfall versus agile:
Analyze
Plan
Design
Build
Test
Deploy
Main motive:
-continuous delivery service.
-controlling building managing service.
-utilizing AWS capabilities to handle traffic and demands.
-identifying issues for effective error reductions.
-monitoring and alerting systems for good performance.
Tools:
Build Automation:
Test automation
Deployment Automation
CI/CD pipeline:
Continuous integration(CI)
Continuous delivery (CD)
...TEST--->RELEASE--->DEPLOY--->OPERATE--->MONITOR--->PLAN--->CODE--->BUILD--->TEST...
Automation :
Automation is a term for technology and innovation applications where physical human input is minimized. It helps to perform the repetitive task and helps solve issues.
-overautomation: (ChatGpt,Ai,)
-underautomation
-bad automation
DevOps Tools:
CI/CD:
AWS CI/CD (Continuous Integration/Continuous Deployment) is a DevOps practice that is the process of building, testing, and deploying software applications on the Amazon Web Services (AWS) platform. It provides a streamlined and efficient approach to software delivery, allowing teams to deliver new features and updates to customers more frequently and reliably.
Plan:
In the planning stage, the development team collaborates with stakeholders to define the project goals, requirements, and scope. The team creates a project plan, identifies resources and timelines, and outlines the development strategy.
Code:
In the coding stage, developers write the actual code to implement the features and functionality defined in the plan. They follow coding best practices that involve writing modular, maintainable, and well-documented code that meets the project requirements.
Build:
The build stage involves compiling and building the source code into executable packages. This typically includes tasks such as compiling code, resolving dependencies, and generating binaries or distributable files.
Test:
In the testing stage, the developed software is evaluated to ensure its quality, reliability, and compliance with requirements. Various types of testing are performed, including -unit testing -integration testing -system testing -acceptance testing. testing tools ie. JUnit or Selenium may be used to execute tests and verify the software's behavior.
Release:
-The release stage involves preparing the software for deployment to a specific environment, such as a staging or production environment. It includes activities such as creating deployment artifacts, packaging the software, and documenting release notes or change logs.
Deploy:
-The deployment stage involves moving the software from a development or staging environment to a production environment.
It includes activities like configuring the production environment, deploying the software artifacts, and setting up the necessary infrastructure. Deployment automation tools like Ansible, Chef, or Kubernetes are commonly used to streamline the deployment process and ensure consistency.
Operate:
In the operations stage, the software is actively monitored, maintained, and supported in the production environment. It includes monitoring system performance, responding to incidents or issues, and applying updates or patches. Operations teams may utilize monitoring tools, logging systems, and incident management processes to ensure smooth operation.
Monitor:
The monitoring stage involves tracking the performance, availability, and usage of the software in production. Monitoring tools are used to collect and analyze metrics, logs, and events to identify performance bottlenecks, errors, or anomalies.
for more info visit: DevOps - Amazon Web Services (AWS)
Conclusion
In conclusion, combining AWS with DevOps practices empowers organizations to streamline their software development process, increase agility, and stay competitive in today's fast-paced digital landscape. By embracing this powerful combination, businesses can drive innovation, deliver software with greater speed and reliability, and ultimately achieve their desired outcomes.