IDC said that by 2020 the number of bits of data and binaries will be equal to the number of stars in the universe. The amount of data is presumed to be around 44 zettabytes (44 trillion gigabytes). This number is doubling every year.

The DevOps has accelerated the production of binaries and data.. DevOps is the core software for producing new technologies like smart electric vehicles, and IoT.  

So, the 4 DevOps Trends we expect to see in the future, some of which we may already been seeing, are:

1. DevOps AI

DevOps automation are creating more builds, with more frequency, and along with them a huge amount of information. This will be a perfect environment for the growth of Machine Learning and AI. 

Manual testing is obsolete nowadays. Now a days AI can predict the behaviour of a code based on the respiratory logs and activity. AI can use the acquired information to produce the automated functional, acceptance and launching of testing and speeding of software release.

The increase in the use of infrastructure as code will help the operation managers to get more flexible in selecting the server location only by altering the code description. However, the people are required to write the codes; the AI can inspect the large bodies of log reports and can guess about what is needed next. It then generates the code using automated services.

AI can generate intelligent mechanisms based on your DevOps process based on the volume of logs and performance of the data. It will allow you a gradual growth to CI/CD pipelines, which helps to prevent any mishaps from occurring in builds, and can also predict faults. Someday, AI will be used to improve the software of AI itself.

2. 5G Drives IoT  

5G internet is scheduled to launch in the market in 2020. It promises a greater internet speed. It will make the connectivity of large-scale devices easy. Huawei’s technology claims that it will provide 5G connectivity with a speed of 10Gb/s. They claims to gain a support of 1000x capacity providing connectivity for about 100 billion devices. 

This will enable the sending of complex operation to the devices in electric cars, our homes and cities. 

Good network speed will encourage more devices to go online. It will also encourage the users to do updates more frequently. It will bring the users near to the Liquid Software, which will help the IoT to thrive.

3. Low-code DevOps  

Even though the process of CI/CD has been streamlined by DevOps, there is still the requirement for the developers to define the pipelines through their job specifications, YAML or other activities like coding by hand.

As the DevOps builds are improving, it is expected to integrate low-code tools that will help with defining the pipelines, like point-and-click UI. IFTTT (If-This-Then-That) is a popular platform used to connect apps and devices. Graphical UI like note may also fulfill the requirements.

With the help of these tools, many other types of technologies can contribute to the development and the maintenance of the pipelines, policies, or Helm charts. This will result in lower cost for setup and training people to build these important parts for DevOps process.

4. DataOps

The increase in the data-driven computing has motivated us to develop more data-intensive applications. Various sources and data pipelines provide critical data, on which the solutions rely upon. Therefore, a method to manage them efficiently in needed. 

The new method of DataOps is derived from the principles of DevOps. This helps the developers to ensure quality, to operate smoothly and to collaborate securely. DataOps presents the similar benefits to the joint efforts of data scientists, developers, and data engineers. 

Supporting DataOps will need some modifications in the infrastructure and platforms, but some of the core tools does not need to be changed. DataOps must adopt more languages; like the statistical language R; and frameworks. 

Data has become the primary element to drive most of the applications, so it is expected that the data marketplace will grow hugely. 

Summing Up

All of the four above DevOps trends are suggesting that something interesting is ahead of us in the DevOps universe. 

So keep your eyes open for these 4 trends, it will come out soon enough.

Posted in: AI