The creation of software services requires DevOps automation. Application maintenance may be done effectively and precisely using DevOps automated testing. Automating all software development processes is a key component of the DevOps technique since it increases speed and agility. This involves automating the testing process and putting it up to run automatically. Therefore, DevOps must provide a strong foundation for automated testing that will help with test case scripting.

1. CONCLUSION
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Automation has become a key component of DevOps in order to accelerate the development and deployment
process. The utilization of automation was enforced in DevOps practices. Technology stacks evolved so that the
apps could be efficiently managed by the teams and thus provide quality assurance. Further, the customization,
quality and management of on-site infrastructure were enhanced. The feedback loops are facilitated by the
automation process and the iterative updates are permitted. In this article, you will get to know how DevOps
automation is shaping software development services.
Following are the five key factors through the
implementation of which DevOps automation can scale up
software development services:
How DevOps Automation is Shaping
Software Development Services?
1. The functionality and security aspect:
The testing cycle is considered to be one of the key processes to automate in DevOps. In a general context, the
testing process is usually carried out by the development team and then it is passed to the QA team. The flaws are
determined by the QA team that are typically manual and are sent back to the development team and thus the cycle
keeps going on.
When the testing cycle is automated through the DevOps platform, testers and developers can work collaboratively
to employ an automated process. The right tools and a specific testing framework should be used so that the
availability, functionality and security of an application can be verified.
2. The significance of configuration management:
Configuration management makes sure that the software, servers and system run in a consistent and desired state.
In the long run, the changes do not go undocumented. Errors can be quickly identified and the modifications can
also be done easily. When configuration management is automated, the defined state is managed by automation
itself. The need for manual scripting is eliminated on a timely basis.
The time for infrastructure provisioning is reduced by automating configuration management. A lot of manual errors
are eliminated, which in turn makes way for removing non-compliance issues and inconsistencies and thus
improving application performance.
3. Automating infrastructure:
Scalability is a key factor in software development and hence needs to be strategically worked upon. When there is
a lack of technical expertise and stringent timeframes, it becomes really difficult to keep up with the market growth.
One of the main challenges for engineers is managing a huge IT environment.
In order to solve this important issue, a dynamic infrastructure automation solution need to be adopted that would
enable the automation of IT components like data storage in data centers, network components, software, hardware
etc. A strategic solution is offered by infrastructure automation to manage a complex IT environment. The
infrastructure can be transitioned over the cloud and as code, which, in turn, makes it easier to automate processes.
Continuous integration, software deployment and delivery are supported by automated infrastructure.
4. Deployment automation should be used for frequent releases:
DevOps engineers can highly benefit from automated deployments as it facilitates risk-free, uncomplicated,
continuous testing and production deployment. Instead of deploying the packages manually for days or weeks,
DevOps automation can do the same task in a matter of hours and upon that will also provide quick feedback for
iterations.
5. Logging and monitoring activities are automated:
In order to know about the application development progress, one of the feasible ways is to work and focus on
metrics. The necessary metrics can be recorded and updated by automation monitoring, while log management
helps in identifying and analyzing problems. This will prove to be advantageous, especially when an application goes
through a complex phase and scaling becomes a necessity.
The new challenges that consumers are facing while using an application can be solved by engineers through a
productive workflow. Whenever there are changes made to the system, the automated monitoring and logging
system can track and record them. This eventually can be used for debugging process. Specific standards can be
set up by the teams and the app can be analyzed through automation as per the customization, thus sending alerts
whenever things go off the charts.
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03 04 05
The
functionality
and security
aspect
The
significance
of configuration
management
Automating
infrastructure
Deployment
automation
should be used
for frequent
releases
Logging and
monitoring
activities are
automated