2020: trends and forecasts
Material posted: Publication date: 09-02-2020

A new year has begun — it's time to make plans. What awaits us this year? What updates and changes you need to prepare? We made the forecast of the main trends and likely changes in the it sector. And at the end of the year it will be interesting to remember and compare the current expectations and fait accompli.

Automation of incident response information security

In 2020, we expect further development of automation of information security processes. First and foremost, it will affect the process of responding to information security incidents. It would be a logical continuation of the trend to the creation of a Security Operations Center (SOC). Many organizations have already implemented the collection and correlation of events (Security Information and Event Management — SIEM), which is a technological core of these centers. Now, however, these systems begin to develop additional functionality.

For example, to automate incident response solutions are class SOAR (Security Orchestration, Automation and Response). In their end-to-end integration with GIS tenfold accelerate typical operations, for example, discharge/load list of compromised hosts between different GIS.

Of course, to automate the whole process of reaction is impossible from a technical point of view (not all remedies for this purpose there is a suitable API), and methodological (many operations require thoughtful reflection by analysts), but automation of response — a definite trend in IB 2019-2020.

Protection and development of protection of environments of containerization

Will continue to gain popularity and technology to protect environments containerization. This is due to the fact that in many organizations, client development is microservices architecture that is constantly changing and requires the use of means of protection, capable of operating system-level containerization. In conjunction with the increasingly popular approach DevSecOps comprehensive protection of design and development tools — one of the major trends 2020.

Big Data

The last few years, Big Data has been a fashionable topic — the whole business looked to the side, studying the possibilities of technology. As a result, began the project of implementation of data lake (Data Lake) with the use of Big Data. However, the practical use of this were often lower than expected. The data goes to the lake of poor quality, they are falsified or do not meet the objectives, which are infested lake. And now, finally, this problem became clear to the masses.

We can say that 2020 will be the year of struggle for the purity and quality of data through it and organisational measures. The scope of Big Data will develop, and attitudes toward technology will become more practical. It will be introduced and developed to solve specific problems, not because it is fashionable.

Customer interaction in retail

If the whole 2019 retail worked on the omnichannel — interacting with customer through different channels, making it happier, and richer, now this sector is aimed at building long-term management strategy client experience (CX, Customer Expirience).

The industry shifted to the search for gaps between the proposed products/services and the real needs of customers. The company is ready to develop unusual previously for retail services and channels of communication, which leads to the optimization index customer effort (CES, Customer Effort Score), and in the long run to a qualitative change of the industry and increase LTV of a buyer.


Technology development continues containerization and microservices. If in previous years there were only a few projects using these technologies, though loud enough, but this year it will become mainstream.

When we are talking about high load vital system for business, security requirements, reliability of operation, flexibility to changes and accelerate updates to the market will increasingly lead to the fact that developers, operations, security professionals, business and QA will work as a single team and a single logic DevSecOps.

Machine learning

Mass deployment of machine learning often hinder organisational measures that accompany the process of implementation. Here and there will be major changes.

A key challenge in terms of technology is the rapid adaptation to changing data. How to work with the model when historical data are outdated or have a new data type? For example, the plant came a new machine with new sensors, retailers have added new product category, etc. So a lot of effort will be applied to research in the field AutoML and working with synthetic data.


For several years, many large organizations are moving to self-develop solutions, using contractors only in the team extention and smartsoursing. This approach has strengths, there are drawbacks: the contractor is responsible only for the quality of the professionals covered in the logic of T&M, and on the side of the organization and leadership of the team can focus on and not have some part of competencies. This reduces the effectiveness of projects and blurs the responsibility for the result. Now, when problems become visible, this region is waiting for transformation. Gradually, a team of contractors will share at least some responsibility for the outcome of the projects and further engage in the business processes of the organization.


The whole world is waiting for the global launch of the fifth generation networks. They provide a large speed — up to tens of GB/s — and the minimum delay signal transmission, but also push the development of IoT and machine-to-machine communication in all its manifestations.

In the Russian cities of over one million new cellular communications standard is planned to start by 2020. According to the Ministry of communications, at least be covered in eight cities of Russia. Moscow has already launched 9 pilot zones support 5G.

Incidentally, the first successful cases of technology use was still in 2018, when "MegaFon" and Huawei demonstrated the technology of remote ultrasound and genetic sequencing in 5G networks. And in 2019 was the first 5G-tournament at eSports — and that is the only pilot project with real use of 5G technologies and Cloud Gaming in the field of digital entertainment. The event was part of the broadcast world-The International Dota2 2019.

Wi-Fi 6

New Wi-Fi standard 6 significantly increases the density of connections, that is, each access point can support more subscribers. This is especially important for wireless access in shopping malls, airports, and cities in General. However, in Russia the demand for Wi-Fi 6 will be formed slower than abroad, because solutions based on Wi-Fi 6 design mainly foreign vendors with a distant planning horizon. A possible obstacle to the introduction of the new standard — no obvious benefits for individuals and certain business segments. However, without Wi-Fi 6 not to do when implementing Smart City concepts and IIoT. A tangible result of the transition to the new standard will be noticeable only if all network devices will support Wi-Fi 6 — the development of this process, we expect in 2020.

Infrastructure as code

"Infrastructure as code", sometimes called the "programmable infrastructure", is the model on which the process of setting up infrastructure similar to the process of programming. In fact, it marked the beginning of the removal of borders between writing applications and creating environments for these applications. Applications can contain scripts that create their own virtual machines and manage them. It is a cloud based and an integral part of DevOps.

"Infrastructure as code" allows you to manage virtual machines at the software level. This eliminates the need for manual configuration and updates for individual components of the equipment.

Infrastructure is highly elastic, that is replicable and scalable. One operator using the same set of code can be used to deploy and manage one or a thousand machines. Among the advantages of this approach is speed, efficiency and risk reduction.

Smart all

Engineering systems and gadgets are endowed with "mind", and then start to analyze incoming data. Smart toaster, smart surveillance, smart helmets for companies — are just some examples of enhanced items. This approach increases the accountability and effectiveness of the devices to create the ecosystem of machines and things from the offline world, who can chat online among themselves and with their owner.

Source: https://habr.com/ru/company/jetinfosystems/blog/486210/