Key Trends: Where is DevOps headed?

Key Trends: Where is DevOps headed?

The DevOps framework has undergone a significant transformation in recent times. It is anticipated to continue expanding and evolving as an increasing number of businesses integrate it into their operations to enhance efficiency.

The burgeoning trends in DevOps are increasingly centred around the ongoing enhancement of the framework in order to optimise outcomes for users, thus becoming UX centered.

It's prudent to presume that the DevOps transformation is an ongoing and perpetual undertaking and given that organizations are increasingly integrating the DevOps methodology into their operations, possessing an understanding of what is happening in this space becomes essential.

So after the preamble, what do you need to keep your eyes open for?


DevOps Top 7

1. DevSecOps

In the digital age, security has emerged as a paramount concern, prompting organizations to incorporate the DevSecOps lifecycle as a means of augmentation.

It has also been implemented to improve transparency and accountability in governance. DevSecOps is an acronym that represents a paradigm shift towards prioritizing security as a primary concern, rather than treating it as an afterthought.

The prevalence of shared responsibility and third-party data has led to a heightened emphasis on fostering a culture of collaboration and security. This has in turn has resulted in many organizations incorporating automation for security checks, as opposed to manual monitoring of application privacy.

2. Serverless Infra

Serverless computing enables the development and execution of applications and services without the need for physical servers. These applications are designed from the development phase onwards, eliminating the need for server management.

It has evolved over time into a prevalent and pioneering method of software deployment. DevOps operations have benefited significantly from the serverless computing methodology as its increased operability has effectively connected the development and operations phases of a typical SDLC.

It has also assisted in the generation of DevOps pipeline code, which was developed, tested, and deployed independently of the host. In short, DevOps involves development contrary to what many may still believe.

3. Microservice Architecture

Presently, microservices, an abbreviation for microservice architecture, are being implemented extensively in the IT industry. Adapted to align with contemporary DevOps market trends, it has effectively decomposed antiquated, monstrous applications into smaller, more feasible components.

Deployment in operations and development testing have been effectively streamlined. Additionally, it has optimized the regular and consistent distribution of software and applications. The facilitation of DevOps processes and principles to enhance the holistic quality of products has become increasingly effortless and uncomplicated.

One of the emerging developments in DevOps, this concept facilitates the creation of a distinct domain for concerns and reusable modules, thereby augmenting the product deployment process's dynamism and velocity.

As a result, the implementation of microservice architecture substantially decreases network data flow, allowing for the allocation of additional time to scale up and accommodate additional freestyle machines in a matter of minutes as opposed to weeks.

4. AIOps

AIOps and MLOps are two of the most well-known DevOps trending technologies. MLOps and AIOps play crucial roles in optimising DevOps operations so that the benefits of rapid release and high-quality development can be realized.

AIOps facilitates the automation of IT operations and processes, whereas MLOps fortifies the learning component of automation. As a result, AIOps facilitates the identification of the root cause of issues that impede operational productivity, while MLOps streamlines the process of optimizing operations and increasing output.

Intelligent Deployment at its best

5. Low-Code Implementation

Numerous robust organiszations have adopted a low-code DevOps methodology, which has proven to be extremely advantageous for teams. The agility enabled by the low-code methodology gives every company a significant competitive advantage in the fast-paced and demanding software industry.

Low-code platforms enable businesses and organizations to develop applications without export coding expertise. This enables non-technical users to participate in software development through a graphical user interface that handles the entire application development process.

It enables users to construct their workflow and logic simply by dragging and placing elements. This has aided in accelerating the development and deployment process through the creation of user-friendly and straightforward applications.

In addition, they have been of great assistance with critical DevOps procedures such as version control, quality assurance, and build validation. The single-platform approach of this trend, which has provided a "no" or "low" code, has not only helped DevOps teams operate more efficiently and reduce overall complexity, but is also one of the top DevOps trends of 2024.

The term 'low code' inherently signifies a reduced focus on coding, while DevOps promotes effective collaboration. Consequently, integration of the two will inevitably improve development and deployment.

6. GitOps

This aids in monitoring, controlling, and automating infrastructure. Git has been utilized by IT operations managers and developers to gather and deploy multiple applications in accordance with the Kubernetes paradigm.

GitOps endeavours to incorporate the most effective DevOps practices, including collaboration, version control, compliance, and CI/CD, into the automation infrastructure.

Additionally, it emphasizes increasing releases and consistent delivery in order to develop, test, and deploy software as quickly and efficiently as possible.

7. Kubernetes,

Frequently abbreviated as K8, is an open-source platform that facilitates the management of containerized services and applications and is extensible and portable.

It offers an uninterrupted and self-governing container-based environment for integration, enabling programmers to adjust the amount of resources utilized. This is a significant factor contributing to its emergence as a leading DevOps trend.

In accordance with the standard and best DevOps practices, Kubernetes additionally facilitates cross-functional collaboration and ensures minimal deployment disruption.

Embracing the DevOps Revolution

DevOps roles are currently one of the most in-demand professions in the tech world. Such a role necessitates commercial acumen and technology development expertise. Remaining in the position necessitates an unwavering dedication to continuous learning, as prevalent methodologies swiftly become obsolete and new trends are always on the horizon.

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Shivangi Singh

Operations Manager in a Real Estate Organization

6 个月

Very well written. In addition to DataOps and MLOps, MLDevOps is essential for effective management of AI systems. MLDevOps encompasses Continuous Integration, Deployment, and Monitoring, which is akin to traditional software development practices, and which ensures early issue detection and swift integration of changes. Automated monitoring helps in rapid bug identification and resolution. Infrastructure Management in AI systems requires flexibility for location, computation, network, and storage needs, crucial for adapting to varying data influx rates. Unlike traditional software, AI systems may experience fluctuations in computational, storage, or memory demands, necessitating rapid adjustments in the underlying infrastructure. The complexity of infrastructure management is expected to increase with emerging hardware architectures prioritizing specialized hardware for training and inferencing in specific use cases or applications. More about this topic: https://lnkd.in/gPjFMgy7

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