Abstract
This paper will investigate the effectiveness
of secure DevOps practices in the microservice and monolithic architecture.
DevOps incorporates development, security and operations to increase the
software delivery quality and speed.
This study aims to explore the distinctive security solutions and
challenges for each architecture by focusing on the different practices and
tools such as CI/CD containerization and automated security testing. This study
collected secondary qualitative data. The findings show that while the
monolithic architecture benefits from simpler security management, the
microservice provides better flexibility and scalability.
Keywords:
DevOps, DevSecOps, CircleCI, GitLab CI, Jenkins, monolithic vs. microservice
architecture
1. Introduction
a) Project specification
DevOps is a combination of tools, practices
and cultural philosophies which enhance the organization’s ability to deliver
service and application at a high velocity. It significantly improves and
evolves products at a rapid pace compared to organizations utilizing
traditional software infrastructure and development management processes1. A monolithic architecture is a conventional
model of software programs that is developed as a unified unit which is
independent and self-contained from other applications. A microservice
architecture is an architectural method which depends on an independently
deployable service. Whether it is a microservice or monolithic architecture, a
better DevOps evaluation integrates best practice which suits the project's
particular requirements and assists in efficient operation, deployment and
development. Hence, this project aims to evaluate the effectiveness of secure
DevOps in microservice and monolithic architecture.
b) Aim and objectives
Aims: The research aims to assess the
effectiveness of secure DevOps in monolithic and microservice practices
Objectives:
c) Research questions
R1:
What
is the effectiveness of secure DevOps practices?
R2:
What
are the security challenges in security challenges and solutions in both
architectures?
R3:
What
are the challenges for implementing secure DevOps practices?
d) Research rationale
In this recent time, there is a critical
requirement for robust security in the DevOps practice, especially in
organizations that are transitioning from monolithic to microservice
architecture. However, DevOps increases deployment speed and efficiency but
there are some challenges that remain while integrating this practice in the
sports industry2. Both microservice and
monolithic architecture present different security challenges which necessitate
a better approach. Therefore, this research focused on filling the knowledge
gap by assessing the effectiveness of secure DevOps practice in both
environments.
2. Literature
Review
a) Research background
DevOps security is a philosophy which
integrates three approaches which are security, operations and development. The
primary goal of this practice is to remove any barriers that exist within IT
operations and software development. However, DevOps security or DevSecOps is a
series of cultural approaches or practices which bring together software
development (Dev), IT operations (Ops) and security (Sec) to increase the organization’s
ability to deliver service and application at a high velocity with a better
securement3.
Figure
1: Functions
of DevSecOps [3]
b)
Critical assessment
3. Monolithic
and Microservice Architecture
A monolithic architecture is a conventional
approach to designing software in which an entire application is built being an
invisible and individual unit4. Within this architecture, all the various application
components such as the data access layer, business logic and user interface get
integrated and deployed together. On the
other hand, microservice architecture applications are developed as a
collection of independent and small services and each of them represents a
particular business capability5.
Figure
2: Monolithic
system architecture [4]
4. Technologies
and Tools Utilized in Secure DevOps
Secure DevOps uses a broad range of
technologies and tools to ensure that security is incorporated throughout the
development pipelines6. Continuous integration or continuous deployment (CI/CD)
tools such as CircleCI, GitLab CI, and Jenkins automate the deployment and
testing. Besides different configuration tools such as Puppet and Ansible
effectively assist in maintaining security and consistency throughout the
environment. Additionally, containerization technology such as Orchester and
docker platforms such as Kubernetes facilitate secure and effective
microservice management7.
5. Impacts
of DevOps Security Practices
DevSecOps mainly focuses on assuring the
security aspects across the overall development process. The increased shared
responsibilities and communication within the development team, security and
assist to prevent critical issues cases through the conventional silo approach.
It provides practice and improved security8. The security threats could be fixed while
they would be found as early as possible. This security practice significantly
provides cost-effective and quick software delivery9.
DevOps would notably improve the sports industry by streamlining the
software delivery, analytics and streamlined data management by assuring more
secure and faster updates to applications. Hence, it would provide better
security updates to tracking player performance, fan engagement and game
statistics. This would effectively lead to better decision-making, efficient
operation and better fan experiences.
c) Linkage to aim
all information in this chapter focuses on
effectiveness of secure DevOps in monolithic and microservice practices. It
addresses the way DevOps increased data security of a company, and the way NY
Mets can use this to fetch benefits in monolithic and microservice practices.
Hence, this review section is successfully linked to the research aim.
d)
Literature gap
This research extensively addresses the
effectiveness of security practice in DevOps, yet it lacks the in-depth
exploration of different security mitigation strategies during the
implementation of secure DevOps. Hence, in-depth exploration of specific security
mitigation risks is the literature gap of this study. Additionally, it fails to
cover the key role of different emerging technologies such as ML and AI in
DevOps practices.
6. Methodology
a)
Research Philosophy
A research philosophy is a particular way of
beliefs about a specific way in which information or data for the research
topic would be collected, utilized and analyzed10. It primarily deals with the source, nature
and development of the knowledge. However, there are four types of research
philosophies positivism, pragmatism, realism and interpretivism. In this paper,
positivist research philosophy has been followed which helps in getting
efficient conclusions.
b)
Research approach
A research approach is mainly defined as
collecting various strategies and plans which would utilize for structuring the
entire research process. It significantly involves collecting, assessing and
interpreting the collected data for answering research questions11. However, there are three research
approaches which include deductive, inductive and abductive research questions.
This paper adopted the inductive research approach for implementing security
practices and assessing the effectiveness of these practices in different
software architectures.
c)
Research design
A well-structured research design within a
methodology section is an efficient plan for answering all the questions. There
are three types of research design which involve exploratory, explanatory and
descriptive research design. This research followed the descriptive research
design for significantly implementing the security practices of DevOps and
evaluating the effectiveness of DevOps security practices.
d)
Data collection methods
The data collection method is a research
methodology that is a vital process of collecting data and necessary
information through relevant sources for finding the answers to research
problems12. Data collection methods
could be divided into two main categories which are primary or quantitative
data and secondary or qualitative data collection methods. primary or
quantitative information is a kind of data which had not been around and mainly
involves the numerical information. On the other hand, secondary data involves
data that already exists and is published in Journals, research articles,
magazines, newspapers and books. This paper collected the secondary data, and,
in this concern, it evaluated the thematic data analysis methods.
e)
Ethical consideration
During the period of data collection methods,
there are several codes of conduct have been maintained. Any sort of commercial implication of taken
data had been strictly avoided. All the information and data had been gathered
by reliable and authentic sources such as articles, news sources and authentic
journals.
7. Results
a) Critical analysis
In the sports industry, evaluating secure
DevOps practices increases the efficiency and security of data management
systems which is vital for managing sensitive player analytics and information.
For instance, automated security checks and continuous monitoring effectively
protect against data breaches which assures data integrity for performance
metrics and player stats. Through securing the DevOps pipeline, the sports
organization could effectively innovate and foster advanced analytics. This
system’s real-time data processing would help to improve player performance.
Hence, the main aim of this project is to assess the key security practices and
the effectiveness of these practices in different architectures.
b)
Findings and Discussions
Theme 1: Application of
DevOps in monolithic architecture
In the monolithic architecture, the key
DevOps practice aims to secure the whole application as an individual unit,
this characteristic involves extensive testing for vulnerabilities, robust
access control and compatible patch management for mitigating risk throughout
the integrated elements13. The security practice mainly involves evaluating strong
access control, establishing comprehensive vulnerability testing and frequent
patch management. Different security measures such as firewalls beside
intrusion detection systems get applied effectively throughout the overall
applications. This specific nature of the monolithic security could simply be management,
yet it can further lead to bottleneck.
Theme 2: Application of
DevOps in microservice architecture
Consequently, within the microservice
architecture, the security practice of DevOps highlights securing each
individual independent service. This includes evaluating service-specific
authorization and authentication, utilizing containerization with tools such as
Kubernetes and Docker for isolation and assuring a secure API14. Aside from this, both monitoring and
security testing are vital for addressing the potential vulnerabilities in the
continuous deployment pipelines and integration. It would ensure that each
microservice maintains high-security standards.
Theme 3: Difference between
monolithic and microservice architecture and their security system
The effectiveness of the overall secure
DevOps practices significantly varies within the microservice and monolithic
architecture due to their inherent structural differences15. In the monolithic architecture, the primary
focus is on effectively securing the application being a cohesive unit. This
approach could effectively simplify the entire security management as all
components are incorporated and employed together. Extensive security testing and patch
management could efficiently reduce the vulnerability risks. Moreover, the
monolithic architecture could lead to bottlenecks as an individual
vulnerability can hamper the whole system. However, the complexity of a vast
monolithic application could make the security updates more heavy and slower to
implement.
On the contrary, microservice architecture
provides a more scalable and flexible approach towards security16. Each individual microservice operates
individually which allows for a poor quality of security measures made for the
particular requirements of each service.
This isolation decreases the risks of an individual's vulnerability
impacting the whole system. Tools such as Kubernetes and Docker facilitate
secure orchestration and containerization increasing the entire security.
Consistent integration and deployment pipeline effectively enable the automated
security testing, and mitigation of vulnerabilities and ensure rapid
identification. However, managing security throughout several microservices
could be complex.
Theme
4: Difference between security management aspects of monolithic and
microservice architecture
The monolithic architecture while effective
in a specific scenario poses several challenges within the DevOps domain. In
monolith architecture, deploying changes sometimes involves updating the whole
application which leads to higher risks and longer deployment times17. The principles of DevOps highlight small
and frequent releases which could be challenging with the monolithic structure.
This architecture also could struggle to efficiently scale as it grows, making
it much harder to adopt DevOps practices18. Since the monolith architecture had tightly
coupled elements, a significant change in one part could impact others, making
a consistent integration and delivery much more complex.
On the other hand, microservice architecture
also introduces several numbers of issues. In microservice architecture, there
are several services communicating throughout networks, and monitoring and
managing the interaction could be complex. Besides, orchestrating several
services demands robust operational support and infrastructure, which might
require extra time and expertise19. In DevOps microservice architecture effectively
breaking an application within several microservices can lead to extensive
management overhead and hamper the overall performance.
c)
Critical evaluation
From the findings, it had been observed that,
compared to the microservice and monolithic architecture, the secure practice
of DevOps provides various benefits as well as challenges. Monolithic
architecture gets benefits through the clarified security management for the
integrated nature of the application. This also facilitates extensive patch
management and vulnerability testing. Moreover, study shows that m this can
lead towards slower updates and bottlenecks. Contrarily, the microservice
architecture can provide greater isolation and flexibility and decrease the
impacts of each and every vulnerability besides enabling significant automated
security testing by the CI/CD pipeline. However, there are still complexities
in managing the security throughout both architectures.
8. Conclusion
The research outlines the effectiveness of
secure DevOps practice in both microservice and monolithic architecture. While
the monolithic system gets benefits through simpler security management for its
unified structures. Microservice architecture provides improved flexibility and
scalability, by they present complexities for managing multiple services. The
study shows that the secure DevOps practice involves containerization,
automated security testing and continuous integration which increase the operational
efficiency and security in both architectures. Hence, understanding these
differences would assist in selecting a suitable DevOps strategy.
9. Research
Recommendation
Business organization must adapt their
security practices to align with the architectural design. In this case, for a
monolithic system, an effective focus on extensive security testing and
comprehensive access control would help to mitigate the vulnerabilities in a
unified application. In the case of the microservice, adapting automated
testing, effective containerization and service-specific security measures can
manage the distributed nature of the architecture. However, adopting tools such
as Docker and Kubernetes can increase the streamline and security management.
10.
Future Work
The security practice need of DevOps requires
more exploration regarding the advanced security mitigation strategies and the
integration of merging technologies such as machine learning and AI in secure
DevOps practice20. Hence, effectively
investigating how the technologies could increase threat detection, improve
overall security and automate vulnerabilities in both microservice, and
monolithic architecture would give valuable insights. Moreover, examining the
effects of evolving DevOps practices and tools in real-world applications,
specifically in dynamic and complex atmospheres could provide practical
solutions and direct future implications.
11.
References