The term DevOps refers to practices that combine software development, including quality assurance, product development - as well as IT operations which take care of system and database administrations, security, network and release. DevOps aims at shortening the software development cycle and provides continuous delivery with high quality.
Rise in Artificial Intelligence
Growing number of Artificial Intelligence-driven applications will push data science teams to look for DevOps philosophy in their workflows.
In 2020, artificial intelligence will definitely influence the advanced tools and technology to enhance the applications.
Everything in code form
Developers will now implement compliance as code more thoroughly thus improving the security aspects in DevOps. We cannot deny from the existing fact that coding has nowadays become the backbone of the IT sector.
The future of IT depends on the technical capabilities of the developers, testers and the people of the operation. Since DevOps is all about making the delivery cycle hassle free, there is a requirement that the code which can be used to increase the software production cycles efficiency.
Harnessing the power of Machine Learning
Machine learning is right now the focus of the digital world. DevOps will be much smarter with the help of AI in the upcoming years. With AI, DevOps will be able to handle and get benefit from big data Hence, improving the app development process in a phenomenal way.
Nowadays, there are automation testing solutions like Lambda test, which will not only provide you with infrastructure, but also give you a whole range of complementary features which will enhance your whole cross-browser testing experience while you ship your products faster.
Cybersecurity will improve
Security is the key factor whether it comes to DevOps or Automation, when it comes to improving or developing applications or software. Considering impacts to the company’s reputation, cyber security has become a business imperative.
Recently we saw a buzz trend of DevOps, which is nothing but injecting security first in the app development life cycle, thereby improving business reputation. The shift to DevOps will bring great collaboration in the software department.
Cloud providers will gain more importance
Cloud-providers will be more focused on serverless. DevOps solutions in 2020. And also there will be many takers because it will be cost-effective. In 2020, it is expected that adopters will bring the hybrid and multi-cloud methodology to forefront the plan of the data ecosystem.
A cloud service provider will be responsible for maintaining hardware and software on which the code runs on.
Infrastructure as a Service
With cloud adoption on the rise, IAAS will also be in demand. Developers will no longer need to configure individual servers, data centers etc. as everything will be scripted.
The cost adhered with software development will minimize tremendously. The cloud server will know when to use less capacity and when to accommodate more computing power and when to use less capacity.
From CI pipelines to DevOps assembly lines
The goal of DevOps is to improve collaboration between planning and automation of the delivery procedure. It is not just about doing CI now, it is about continuous delivery. In 2020, focus will be on shifting from continuous Integration. (CI) pipeline to DevOps assembly lines.
Advantages of the assembly lines include
- Perfect CD (continuous delivery) with interoperability
- Fast on board and scale with “AS-CODE” philosophy
- Powerful nested visibility
Rise in Data Management
DevOps already automates codes and pipelines. Developers will control big data management with the help of AI tools. The more big data is analyzed, the software usage will enhance more.
Modular software (microservices)
DevOps and microservices are going hand in hand. Microservices are not dependent and hence don't create any dependencies or break other systems if at all something goes wrong.
In 2020,more and more businesses will stop using big, monolithic applications and instead favor the rise of MODULAR APPLICATION. And these modules can be updated individually. In 2020, we will see a rise in the usage of microservices architecture.
DevOps can reach the highest level with serverless architecture. This will not be server-free but there will be a cloud service that will take care of complete architecture.
BaaS as well as FaaS are the two major aspects of the server less architecture. Employing serverless architecture can save time, lower your costs and ensure resilient workflow.
Focusing more on a shift-lift policy
There will be a significant rise in the importance of shift lift policy , as far as security is considered. The admins will no longer wait for security flaws to crop up after product development. Security issues can be checked in the pipeline by developers and hence they can take adequate measures. This has already started happening in 2020 and will soon become popular. This shift-lift policy will also accommodate any product change early in the development cycle.
Primary focus on automation
In DevOps , people talk a lot about automation. Maybe zero-touched automation is going to be the future.
It does not at all mean that you have to automate everything, but if you have to , then you should be able to do it. You need to understand the 6C’s of the DevOps cycle and make sure to apply automation between these stages is the key and also going to be the main goal.
There are so many companies who are in a dilemma of whether to build it or buy it. But it is recommended to you to do what you are best at and buy tools as per the requirements.
This helps in increasing the productivity level by depending on the 3rd party platform entirely.
Many companies are opting for enterprise versions to get their own infrastructure and make sure security is in the best hands.
AI-ML to foster DevOps growth
AI and ML AL are perfect fits for a DevOps culture. They can process vast amount of information and help perform menial tasks , thus freeing the IT staff to do more targeted work.
If DevOps' is to unify development and operations, AI and ML can smooth out some of the tensions that have divided the two disciplines in the past.
Testers can also code
Testers who know how to code and automate scripts to tests various cases are in huge demand in DevOps. If you are a tester and in a dilemma over whether to learn to code or not , it is highly recommended learning to code.
Understanding different DevOps tools and automating scripts plays an important role in software development today and is going to dominate further. Testers are expected to be destroyed if they don’t learn to code and write their own automated test scripts.