Category: Manufacturing & Engineering
DevOps gets more exciting in 2019 discovering the top DevOps trends of 2019
As an over-all solution for the IT industry, DevOps brought about a freest collaboration among various teams creating an end-to-end connection across the process chain. It enabled two entirely-different teams: Development and Operations – to work as a single unit for a productive output that is qualitative and faster than before.
DevOps has evolved a lot and has become a main focus in shaping the world of software for the last few years. Professionals says that DevOps is going to be the mainstream and its popularity is going to reach its peak point in 2019.
1. Automation Will Become the Primary Focus
If possible, zero-touch automation will be the future of DevOps. The main goal of DevOps in 2019 is the automation between the 6 C’s of the DevOps Cycle. They include:
- Continuous Business Planning
- Collaborative Development
- Continuous Testing
- Continuous Release & Deployment
- Continuous Monitoring
- Collaborative Customer Feedback & Optimization
2. Infrastructure as a Service (IaaS) Push
The major driving factor for DevOps trend in 2019 will be the growing shift of on-premises infrastructure model to infrastructure-as-a- Service (IaaS) model. As firms are opting for IaaS and cloud-based services as a means to cost-savings, integration between services is going to play a huge role as majority of the crucial infrastructure tasks will then be handled through software.
This is where DevOps helps in handling the integration between services, enabling more flexibility. The integration of configuration management and container technologies is going to play a greater role in automating infrastructure management.
3. Focus on Functions-as-a-Service (FaaS)
In today’s DevOps environment, there is a high need for streamlining capabilities While dealing with containerized workloads. And DevOps experts found Function-as-a-Service (FaaS) as a means to do so. There will be more focus on FaaS in 2019 as more technology professionals feel more comfortable in using containers in the production stage. DevOps professionals will have a key role in determining uses cases involving FaaS and server less computing in their environments.
4. Seamless Security is Becoming A Priority
Security integration acroosss the software development lifecycle can verify all the possible threats. This means a collaboration between two different teams: development and security.
DevOps is correctly praised for moving functional testing earlier in the development process. Bugs can be spotted and fixed as soon as possible with the help of “Shifting Left”, which in turn has enabled quicker and more frequent production. As DevOps continues its growth, it will soon move closer to DevSecOps in its approaches. In short, mainstream DevOps will start treating security as code while making it the entire team’s responsibility from the earliest stages of the development life-cycle.
5. The Shift of Focus from CI Pipelines to DevOps Assembly Lines
DevOps is typically called pipeline i.e. a linear workflow moving from build test to release. Pipeline shows a total visualization of app from source control to production. Everything can be seen in a single pane of glass. It is not about CI, it is about CD (continuous delivery). Enterprises are investing their time and efforts in understanding more about automating their complete software development process. 2019 will notice the shift from just a CI pipelines to DevOps assembly lines.
6. Kubernetes Is Going To Evolve Tremendously
Along with the growth of DevOps comes a growth in the size and complexity of container production clusters. Enterprises require an orchestration tool to deploy and manage container clusters, and Kubernetes has emerged as the orchestration tool of choice. It has built a great open source community around it.
Docker is distributing and supporting the tool while it is still investing in its own orchestration system – Swarm. Kubernetes is the ultimate king for a longer period of time.
7. AI & ML Will Foster DevOps Growth
For a DevOps culture, AL and ML are the perfect fits. They can easily process vast amounts of information and help in performing menial tasks, freeing the IT staffs to concentrate on more targeted work. If the main goal of DevOps’ is to unify development and operations, AL and ML can smooth out some parts that have divided the two disciples in the past.
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