A primary aspect that fuels the remarkable upsurge in DevOps is the increasing demand for container-based methodology. Containers are independent and delicate frameworks that allow simple management & hosting of web apps. They are curated in such a so as to be instant, effective, reliable, and durable.
It was estimated that, by the end of 2023, over 75% of enterprise-scale organizations will be possessing at least two container-based apps. The remarkable use cases of Kubernetes & container-based methodologies as capacity, networking, security, and privacy has made DevOps an unavoidable technology that every organization craves. Performance and agile workflow are becoming more critical as applications and other digital infrastructures are getting more complex and detailed. Therefore, containers serve as the savior to develop such applications and infrastructures. It also helps in further scalability of the apps to resonate with the evolving market trends and consumer expectations.
This blog post is intended to cover some Client-Side DevOps Techniques that are expected to remain instrumental in all development and agile environments in 2022.
Top Client side DevOps Techniques
Serverless computing is a growing trend for being a modern approach for efficient deployment of applications. Serverless computing automates key DevOps areas while enhancing the performance and flexibility of the overall application framework. While streamlining software development, DevOps covers the overall SDLC, from conceptualization to testing, implementation, and post-deployment maintenance on the same platform. Developers can leverage serverless computing to eliminate the overwhelming burden of server maintenance and security.
Microservices architecture is a new glamourized concept in the IT domain as a potential alternative to the mainstream network infrastructures. Microservices architecture and its modern methodologies that complement DevOps allow development and operation teams to increase their development speed, have rich control over the entire environment, monitor the KPIs, supervise the launch & development phases, and ultimately reduce the delivery time up to a significant extent by accelerating the overall SDLC.
Microservices offer a remarkable system to help cloud computing segment powerful rigid applications or systems into easy-to-manage chunks. This methodology enables teams to entertain reduced release times. You can develop complex and top-notch applications instantly using a microservices architecture. All you need to have is a well-defined and smart strategy with an organized skill force and robust DevOps methodologies.
Security is another growing concern in this digital era. Whether you are SMB or enterprise-grade organization, you need to be extra agile, and your cybersecurity experts must follow test routines. This growing concern for security gave rise to another framework DevSecOps that offers some impactful approaches to software development along with visibility & security. It helps in reducing the potential risks in software development up to a remarkable extent.
Using a low-code approach in DevOps opens new opportunity corridors for newcomers. The performance & flexibility that low-code provides gives businesses a cutting edge over rivals. Low-code approach allows you to develop apps with little or no pre-requisite knowledge regarding coding. It enables users having no technical background to develop applications using a user-friendly and interactive interface by eliminating the need for complex coding scenarios. The drag and drop interface provides great ease of use for non-code savvy programmers. This growing client-side DevOps technique can boost the entire software development lifecycle by allowing user-friendly and seamless development of complex apps.
Software utilities that offer a low-code programming environment are called low-code platforms. They also help in some crucial DevOps methodologies such as development, validation, and QA. A unified platform that offers a no-code or low-code environment can help DevOps teams to easily adapt complex functions and advancements in this domain.
GitOps Repository (Kubernetes CI/CD Framework)
GitOps is a recent client-side DevOps technique to manage and automate different aspects of the DevOps framework. GitOps is a container-based system that allows developers and operations teams to perform in a collaborative and highly synchronized environment while dealing with the clusters or developing apps.
To handle cloud-based and clustered apps via CI/CD pipelines, GitOps leverages legacy tools or methodologies for development. It automates cloud-native application development, launch, maintenance, and monitoring, to serve as a unified platform.
Using IaC for Automation
Infrastructure as Code (IaC) allows you to make a swift move towards automation in the DevOps framework. IaC automates the management of resources by leveraging code instead of any dedicated tools or software utilities. As environments continue to scale and become more complex, infrastructure management starts becoming more difficult and along with the increased likelihood of human failure. One of the remarkable perks offered by this emerging client-side DevOps technique is its capability to allow the uniformity of the entire infrastructure and instant execution.
Infrastructure as code allows DevOps experts to manage key areas of the environment, including OS, Virtual Machines, containers, storage, network, etc. It allows
- Easy application deployments
- Flexible architecture
- Improved efficiency across the entire environment
Artificial Intelligence & Machine Learning
Continuous improvement and optimization of the DevOps environment are mandatory to meet the pace of evolving workflows and address modern challenges. Artificial Intelligence & Machine Learning allow DevOps experts to boost their efficiency by streamlining error handling and other processes. Insights offered by modern AI & ML algorithms can be used to evaluate different KPIs of developed applications by assessing hidden patterns.
Some advanced client-side DevOps techniques in AI and ML, such as statistical modelling and predictive analytics, can offer notable perks by forecasting continuously evolving market trends. It means the DevOps environment that leverages AI & ML is inevitable in the coming days.
Automation of Repetitive Workflows
Automation is the core of any DevOps practice that enables teams to boost their efficiency by focusing on the key business areas. The overlapping nature of DevOps & quality assurance demands top-notch expertise & multitasking capabilities. The only way to address this challenge is to incorporate automation in repetitive and routine tasks.
Many companies have shown a keen interest in adopting cloud-native platforms. It allows businesses to acquire a competitive posture against the entire competition by leveraging cloud-based methodologies. The cloud-native infrastructure allows businesses to adopt modern approaches to cloud computing and create a more profound impact.
DevOps has gone through some evolutionary changes in the last couple of years and still has much potential to scale and evolve further. Modern client-end DevOps techniques like GitOps, AI, ML, automation, and cloud computing continue to improve the end-user experience by offering high transparency, rich synchronization of seemingly remote teams, and reduced time to market. The client-side DevOps techniques discussed above can help business enhance their capability to develop, launch, deploy, and maintain complex applications faster.
If you’re gearing up to adapt any of these modern DevOps techniques to boost the efficiency and flexibility of your business, get in touch with one of our DevOps Consultants.