CIOs must constantly identify ways to boost efficiency in their organizations. DevOps is a trusted strategy. It requires combining development and operations teams from development to operation to produce a seamless process.
DevOps is about more than adopting a strategy. CIOs must implement it in a manner that benefits their company and creates a system that boosts efficiency and innovation.
What are the Benefits of DevOps?
- Speed: When development and operations teams work together, there is no need to wait for reviews and approvals. Everyone is on the ground floor of the development, seeing products through to the operational stage. This seamless approach accelerates the process.
- Rapid Delivery: A speedier development and deployment process means you can deliver the product sooner. Customers will get service faster, and teams will benefit from enhanced operational efficiency. Your company will get a competitive edge.
- Reliability: When development and operations teams work together from the ground up, products are more reliable. Each team provides their input and expertise to ensure high quality.
- Scalability: DevOps teams often use infrastructure as code. It replaces manual processes so teams can scale according to needs. Other automated systems also assist with scalability.
- Security: When teams work together, they can identify security issues as they arise. DevOps often uses automated compliance and policy as code to ensure secure processes.
How to Implement DevOps
Create a DevOps Model
Some companies may transition to a DevOps model, while others may work with it from the beginning. Either way, a strategy should be devised to ensure smooth collaboration. Roles must be established, and frequent communication should be encouraged.
DevOps may also work with quality and security teams throughout the development process.
Small Updates
DevOps teams typically make small but frequent updates to innovate faster, address bugs sooner, and reduce risk. The cadence of updates can vary, but they generally are faster than organizations that use traditional software development.
Microservices
Microservices is a typical DevOps architecture. It breaks down complex systems into smaller, more manageable projects. Applications are decoupled into components that operate independently with a single goal.
This process reduces the need to coordinate updates. Small teams are accountable for their work, improving speed and efficiency. Issues can also be detected quickly, accelerating processes overall.
Microservices have the potential to slow down a project due to frequent deployments, but teams can overcome this challenge through continuous integration and automated processing.
Continuous Integration
Continuous integration involves merging code changes into a central repository. Once in place, the code is integrated into an automated build and thoroughly tested. This practice helps identify issues quickly, speeding up deployment and increasing quality.
Continuous Delivery
This software development process involves automatically building and testing code changes before they are prepared for release. It works hand in hand with continuous integration, moving code to a testing or production environment once it is built. This ensures developers have a tested, deployment-ready artifact.
Infrastructure as Code
Infrastructure as code is a common DevOps practice. It offers an application programmable interface (API) that developers can use to program infrastructure at scale, replacing manual configuration.
This process allows engineers to use code-based tools and treat infrastructure similarly to how they interact with application code. They can set standardized practices to deploy and update infrastructures and servers quickly.
Infrastructure as code is typically combined with configuration management, standardizing configuration changes to speed up processes. Policy as code is also integrated to monitor and enforce compliance at scale.
Monitoring and Logging
The DevOps process should be continually logged and monitored to determine how performance impacts the end user. This helps identify areas for improvement. Alert systems are often set up to identify and address issues immediately.
Communication and Collaboration
Communication and collaboration are essential to the DevOps model. Teams often rely on chat applications, collaborative workspaces, and project tracking systems to stay on the same page. These applications promote communication within DevOps teams and across all departments.
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Additional DevOps Resources
Building a Future-Proof Infrastructure for Digital Transformation
From Legacy Systems to Hyperautomation: How IT Leaders Can Modernize Their IT Structure
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