Highlights:
- DevOps combines the skills, techniques, and resources of every engineering and IT organization department.
- The DevOps and DevSecOps methodologies share similarities in using automation and continuous processes to create collaborative development cycles.
The worst system failure in DVD shipper’s history occurred in 2008 with Netflix and its users. The incident disrupted their overall DVD rental service. Netflix had not revealed the cause of the problem that had affected all 55 of its shipping facilities.
But, this incident exposed the shortcomings of their conventional infrastructure and software development practices.
Following this incident, Netflix adopted a DevOps culture and practices to increase their system’s dependability, scalability, and delivery speed. This sheds light on the importance of DevOps, so let’s first understand what it is.
DevOps is not a new concept in the technological world, but it has undoubtedly captured the attention of top business and technology figures worldwide. DevOps entails fusing IT operations processes and practices with software development practices.
By doing this, you develop a software delivery strategy that is more effective and centered on the needs of the customer. DevOps impacts every stage of this development and operations lifecycle.
DevOps integrates the abilities, procedures, and tools from every area of an engineering and IT organization, from designing and building to monitoring and iteration.
DevOps has been integrated into the ecosystems of many other businesses. But not everyone is growing. As a result, you must be aware of the appropriate DevOps trends.
We’ll learn about the most recent DevOps trends that will influence the future in this blog. Let’s Explore.
Unveiling the Hottest DevOps Trends
1) DataOps
It draws inspiration from the DevOps movement. The DataOps strategy aims to hasten application development using big data processing frameworks.
Additionally, DataOps is a comprehensive approach to data management that goes beyond technology to improve data-related activities in terms of:
- Effectiveness
- Efficiency
- Business value
It combines agile methodologies, automation, and collaboration among data professionals.
Last but not least, all the data produced and examined now has some governance behind it.
The uniformity of data generation, consumption, and deletion processes ensured by a DataOps approach ensures central data governance.
2) FinOps
One of the DevOps industry trends, FinOps, outlines the best practices for optimizing cloud spending to raise a company’s profit margins.
FinOps developed as a technique to support dynamic company initiatives such as DevOps by bringing typical financial sensibilities to cost and resource management for external services, specifically cloud computing and multi-cloud usage within a flexible budget.
The best practices for optimizing cloud spending to raise a company’s profit margins are described in FinOps.
Organizations use the management technique known as FinOps (a combination of the words “Finance” and “DevOps”) to maximize the financial performance of their cloud computing infrastructure.
3) AIOps/MLOps
The DevOps trends include machine learning and artificial intelligence (AIOps and MLOps, respectively).
Integrating AI and ML into your business workflow makes deep learning, data mining, statistics, and modeling possible.
AIOps enables systems administrators to locate the underlying causes of issues that reduce efficiency and productivity. Additionally, MLOps promotes productivity by streamlining processes.
4) GitOps
One of the most revolutionary DevOps trends and best practices to incorporate into a DevOps workflow is GitOps, an evolution of infrastructure-as-code.
GitOps applies all DevOps best practices, including version control, collaboration, compliance, and CI/CD.
How it functions:
- Infrastructure as code (IaC) is delivered by GitOps using a single source of truth called a Git repository.
- Using Git pull requests, development teams can control infrastructure and software deployment.
- GitOps uses Git pull requests to automatically integrate changes while utilizing Git as a central hub for modifying infrastructure.
5) Kubernetes
An open-source platform for managing containerized workloads and services is called Kubernetes (K8).
Kubernetes can scale without expanding your operations team because it was created using the same principles enabling Google to run billions of containers weekly.
Kubernetes will spread throughout the software development sector in 2023 and beyond.
It offers robust features that make it simpler for developers to maintain their applications, like automatic resource allocation, workload scheduling, and self-healing capabilities.
Thanks to Kubernetes’ support for a wide range of languages and frameworks, existing applications can be integrated into the platform.
6) DevSecOps
DevSecOps refers to the combination of development, security, and operations. Security components are integrated into software development practices at each stage until a developed solution fails to function as intended.
Generally, security is the last item on the checklist before products leave the building. Therefore, the DevSecOps concept incorporates security early in the development process, not just at the end.
It not only encourages developer and operation teams to run smoothly, but it also works to protect business processes from outside attacks.
The use of automation and continuous processes to establish collaborative development cycles are two similar aspects of the DevOps and DevSecOps approaches.
Conclusion
The future of effective and secure software development is reflected in DevOps trends, influencing how teams work together and how businesses succeed.
Organizations can fully utilize DevOps and foster innovation in the dynamic field of software development and operations by embracing these trends and keeping up with new developments.
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