This means using automation to make it easy to tackle complex or ever-changing systems. Infrastructure as code is also a great example because it lets you manage development, testing, and production setups efficiently.
Automation, AI, and machine learning all allow for quicker and more reliable development, monitoring, and feedback. The efficiency and quality provided will only continue to grow as AI and machine learning evolve.
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DevOps Methodology Overview
Embracing these DevOps best practices is the key to boosting efficiency, ramping up productivity, and saving costs.
Here are some key practices that can help your team thrive in a DevOps environment:
Managing projects through Agile
Continuous integration/continuous development
Automated testing
DevOps pipeline monitoring
Observability
Right tools and america phone number list metrics
Early applied security
Continuous feedback
Real-time monitoring
Maintaining a healthy culture
It’s also important to consider these DevOps principles to drive the foundation of success for teams: collaboration, empathy, continuous improvement, responsibility, and failure as a learning opportunity.
Important DevOps process distinctions
A handful of adjacent systems and methodologies either function directly within the DevOps framework or have distinct functions of their own. This can create confusion for some teams looking to implement DevOps. Let’s examine the key differences and collaborative aspects among them.
DevOps vs. CI/CD: Continuous integration and continuous deployment (CI/CD) works within the DevOps pipeline to ensure frequent code updates happen securely. CI/CD will source, build, test, and deploy code throughout the DevOps phases to prevent product defects. As a result, teams can automate quality control throughout the fast-paced DevOps process.
DevOps vs. SRE: SRE works together with DevOps to create smooth and successful development. SRE is mainly responsible for carefully monitoring the reliability and scalability of DevOps features and limiting failure rates of any changes made to the product throughout development.
DevOps vs. DevSecOps: Security is generally built into regular DevOps workflows with active security audits and testing, but DevSecOps takes it a step further by prioritizing cloud security while working to reduce vulnerabilities in each phase of development.
DevOps vs. Agile: DevOps applies Agile principles to the software development process, meaning both allow for iteration, collaboration, and fast-paced delivery. However, these practices diverge in how they’re applied; DevOps is explicitly geared toward technology and software development.
DevOps vs. waterfall development: Waterfall methodology is best used in more predictable and small-scale software development projects that can withstand a strictly linear progression. Waterfall is generally slower, less collaborative, and allows less room for iterations or change. This causes Waterfall to clash in a DevOps environment or vice-versa.
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