DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
What's in store for DevOps in 2023? Hear from the experts in our "DZone 2023 Preview: DevOps Edition" on Fri, Jan 27!
Save your seat
  1. DZone
  2. Testing, Deployment, and Maintenance
  3. DevOps and CI/CD
  4. Leveraging AI and Automation for Successful DevSecOps

Leveraging AI and Automation for Successful DevSecOps

Injecting security protocols within a DevOps environment can be made much more efficient and effective with AI.

Vishnu Nallani user avatar by
Vishnu Nallani
·
Apr. 18, 19 · Opinion
Like (3)
Save
Tweet
Share
6.67K Views

Join the DZone community and get the full member experience.

Join For Free

As engineering teams try to innovate at a faster pace, being able to maintain the quality, performance and security of the applications become much more important. Organizations have found huge success in improving their overall product quality while ensuring security controls and compliance requirements are met. AI-driven automation solutions have aided engineering teams in automating key processes and leverage predictive analytics, to identify issues before they occur and taking corrective actions, improving the overall product quality. Predictive analytics has helped Operations teams perform real-time application monitoring and identify issues with application security, performance, and infrastructure thus improving overall operational efficiency. Implementing AI-driven DevOps solutions will help organizations accelerate in the present and adapt to changes easily in the future.

The article will provide ten ways in which organizations of any size can leverage the power of AI and automation for their DevSecOps pipeline and continuously improve their implementation as their business evolves.

1. Automate Your Quality Gates

Quality gates or check gates enable the decision making on whether a build can be promoted to higher environments. To achieve faster and continuous releases, automating the quality gates at each stage of the pipeline helps automate the Go-No Go decision of a build into various environments. Automated quality gates can include unit tests, automated code analysis, end-to-end tests based on the pipeline stage.

2. Performance Engineering Is a Key Factor

One of the often-ignored areas during DevSecOps is performance testing and engineering. Performance tests should be made part of the pipeline from the early stages so that issues can be identified earlier and code can be engineered to perform better. More complex performance scenarios such as load testing can be introduced in pre-production environments, but shifting left with performance engineering ensures the application is developed with performance in mind.

3. Make Security a Part of Your Pipeline

Security vulnerabilities identified in production cause huge losses to businesses and cause a dent to the brand value, especially for enterprises. Making security analysis and testing part of the DevSecOps pipeline ensures developers follow coding best practices to not inject security issues and make security a priority during their product architecture and design phases. Security scans must run as a job in the pipeline, incrementally analyzing the code and reporting issues.

4. Mature from Test Automation to Continuous Testing

Continuous testing is often misunderstood to be just automating the tests. What is important though, in achieving continuous testing, is to be automating in-sprint as features are developed. The test automation approach should enable in starting early, automating faster, and executing tests in parallel to provide quicker feedback. If the test automation runs more than 15 minutes, it would mean the release of a feature would take that much longer.

5. Automate Compliance Requirements

For many large enterprises, compliance requirements both in terms of infrastructure as well as application are very important. It is necessary that a holistic approach is taken during automation, to include compliance requirements as part of automation. The automated compliance checks should ensure all criteria are met and application/features can be released into production. The automated compliance checks can be as simple as a set of tests designed specifically to check for compliance, to as complex as a framework to automate the infrastructure compliance.

6. Infrastructure-as-Code

Many organizations invest heavily in the infrastructure both in terms of data centers or cloud providers. Organizations also invest heavily in configuration management tools to create infrastructure. It is important to leverage the power of these tools and cloud providers and manage infrastructure-as-code, and version it just as application code would be. This will ensure that environment creation is consistent, repeatable and reliable and would help in quicker deployments and rollbacks.

7. Pipeline-as-Code

As organizations mature in their DevSecOps implementation, managing the end to end CI/CD pipeline as code provides advantages. Pipeline-as-code will enable various teams to trigger and manage their deployments better and help track the deployments better.

8. Deliver at Speed

Once all the pieces of the CI/CD puzzle are put together, being able to track the speed of delivery, from commit to release, is important. To be able to release every day, or multiple times a day, requires the various stages of the pipeline to be optimized for faster feedback and completion. If your pipeline cannot fail fast, you cannot achieve continuous delivery speed.

9. Monitor and Analyze

Once an application is deployed into production, being able to monitor the application for performance and security is important. AI-driven production monitoring enables predictive analytics to identify issues before they occur in production. Some of the most recent AI-driven tools also support in optimizing cloud infrastructure based on application loads, without the need for human intervention.

10. Leverage Feedback to Get Better

AI-driven chatbots are making inroads into customer support tools. These chatbots help provide quick answers to customers and try to make sense of customer feedback to automatically create defects or user stories in planning tools that can be picked up by engineering teams to fix issues or for implementing enhancements/features. AI-driven monitoring also helps understand user behavior which can be used as feedback for enhancing application features.

Leveraging data to make informed decisions, driven by AI helps organizations be adaptable to future changes while implementing DevSecOps, understand user behaviors and enhance application delivery. Continuous improvement is key to getting better at DevSecOps implementation and AI- driven tools and automation become the enablers in the process.


AI Pipeline (software) application Continuous Integration/Deployment security Testing Test automation Infrastructure as code

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • 2023 Software Testing Trends: A Look Ahead at the Industry's Future
  • How to Configure AWS Glue Job Using Python-Based AWS CDK
  • Distributed Stateful Edge Platforms
  • Architecture and Code Design, Pt. 2: Polyglot Persistence Insights To Use Today and in the Upcoming Years

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: