DevOps processes and technologies constantly evolve, helping organizations develop and deliver quality, reliable, and secure apps. Although relatively new to software development, DevOps practices have been making waves in the industry and will continue rippling through the tech world.
What DevOps trends can you expect in 2023? Let’s find out.
DevSecOps for Left-shifting Security in The SDLC
Implementing security into DevOps practices is the most significant trend in software development. This security-as-code approach is DevSecOps, allowing left-shifting security in the SDLC (Software Development Life Cycle) instead of considering it an afterthought.
DevSecOps makes security integral throughout the SDLC, from writing code and triggering builds to testing for potential anomalies and vulnerabilities and deploying software. It helps identify and prevent issues before rolling out software.
Whether you use JFrog or another DevOps solution, you can improve your delivery pipeline and fail builds in case of security vulnerabilities or license compliance issues.
Serverless Computing for Streamlined Development
Cloud-native technologies are all the rage in software development because they don’t require hosting servers to design, code, implement, test, and deploy apps.
Serverless computing lets you streamline development, scale seamlessly, cut costs, and become more agile. It boosts productivity and enables seamless updates across production environments and better control over software deployment.
Eliminating server management from your workflow also reduces latency when deploying apps and improves your overall performance. You can also take it a step further and embrace private clouds to enjoy the benefits without worrying about infrastructure management.
Microservice Architecture for Faster Deployment and Scalability
According to a Market Research Future report, the microservices architecture market will reach $21.67 billion by 2030, growing at an 18.6% CAGR.
The ever-increasing use of connected devices and cloud computing solutions drives this growth, helping companies switch from monolithic architectures.
A microservice architecture breaks down complex software into smaller, more manageable components to simplify development, testing, and deployment. Focusing on independent pieces instead of the entire mammoth-size software lets you update them without affecting correlated systems.
That makes for shorter time-to-market, better governance and scalability, more agile infrastructures, and leveled-up data security.
Low-code Development for Higher Productivity and Agility
Low-code software development eliminates the need for expert coding skills, allowing novice developers to create apps without writing complex code.
Low-code platforms have user-friendly interfaces with drag-and-drop features you can get the hang of even if you’re not tech-savvy. They’re ideal for switching from monolithic apps to microservice architectures, shortening development time and increasing agility.
Experienced developers also use low-code solutions to reduce the risk of human error and save time. Besides becoming more agile, they can accelerate software testing and release management and sharpen their competitive edge.
AI for Faster Deployment and Predictive Maintenance
Implementing AI into DevOps practices enables automated testing, security and vulnerability checks, and software deployment. It eliminates the risk of security vulnerabilities and increases productivity and efficiency.
Besides the time-saving automation of manual tasks, AI and machine learning technologies use real-time monitoring to detect and prevent security threats, making them perfect for DevOps. Their predictive maintenance techniques can also help identify and eliminate anomalies.
CI/CD for Efficient Testing and Delivery
CI/CD (Continuous Integration/Continuous Deployment) is crucial for improving your DevOps. It’s another time-saver for faster development and deployment, whether releasing new or updating existing apps.
Building a CI/CD pipeline lets you create automatic builds after every update and test all components to ensure flawless system functionality before rolling out. It shortens your time-to-market, helps you fix potential bugs during testing, and makes release and delivery a breeze.
CI/CD also helps lower costs, isolate code faults, improve accountability, enable continuous feedback, and simplify and accelerate rollbacks.
Observability for Shorter Response Times
Observability is critical in software development because it enables seamless debugging and shortens response times. It’s becoming a prevalent DevOps practice for developing high-quality, reliable software.
It focuses on monitoring systems to identify and resolve issues quickly and detect and prevent anomalies. It includes tracking, logging, and tracing system activity to gather crucial app data for better business decisions.
Monitoring metrics (e.g., resource utilization, error rates, and response time), logs, and traces helps measure, understand, and improve software performance. These three pillars of observability provide actionable insights for fixing problems promptly and closing gaps before they occur.
Conclusion
DevOps has been revolutionary since 2007 and will continue to drive innovation in the IT world in 2023 and beyond. The trends above prove its unceasing power to streamline software development and provide business value.
We haven’t seen the last of its cutting-edge capabilities, and this list is by no means exhaustive. We can expect more DevOps trends in this ever-evolving field, bringing exciting tech to the horizon and changing software development as we know it.
