The new year has begun - it's time to make plans. What awaits us this year? What innovations and changes do you need to prepare for? We have compiled our forecast of the main trends and likely changes in the IT industry. And at the end of the year it will be interesting to remember and compare today's expectations and fait accompli.
Automation of information security incident response processes
In 2020, we expect further development of information security process automation. First of all, it will affect the processes of responding to information security incidents. This will be a logical continuation of the trend towards the creation of the Security Operations Center (SOC). Many organizations have already implemented systems for the collection and correlation of events (Security Information and Event Management - SIEM), which are the technological core of such centers. Now these systems are beginning to acquire additional functionality.
For example, security orchestration, automation and response (SOAR) solutions are used to automate incident response. With their end-to-end integration with the information security facility, typical operations are accelerated dozens of times, for example, uploading/downloading a list of compromised hosts between different information security facilities.
Of course, it is impossible to automate the entire response process both from a technical point of view (not all protection tools have a suitable API for this) and from a methodological point of view (many operations require thoughtful thinking by analysts), but response automation is an absolute trend in IS 2019-2020 .
Development protection and development of protections for containerization environments
Technologies to secure containerization environments will also continue to gain popularity. This is due to the fact that in many organizations, client development is carried out on a microservice architecture, which is constantly changing and requires the use of overlay protections that can work at the containerization system level. Together with the increasingly popular DevSecOps approach, comprehensive protection of development and development tools is one of the main trends of 2020.
Big Data
For the past few years, Big Data has been a trendy topic - the whole business has been looking in this direction, exploring the possibilities of technology. As a result, data lake implementation projects began using Big Data. However, the practical benefits of this often turned out to be lower than expected. The data that enters the lake is of poor quality, it is falsified or does not correspond to the tasks for which the lake was started. And now, finally, this problem has become clear to the masses.
We can say that 2020 will be the year of the struggle for the purity and quality of data with the help of IT tools and organizational measures. At the same time, the scope of Big Data will continue to develop, and the attitude to technology will become more practical. It will be implemented and developed to solve specific problems, and not because it is fashionable.
Retail customer interaction
If throughout 2019 retail has been working on omnichannel β interacting with the client through different channels, making him happier and himself richer β now this sector is focused on building a long-term strategy for managing customer experience (CX, Customer Experience).
The industry has refocused on looking for gaps between the products/services offered and the actual needs of the customers. Companies are ready to develop services and communication channels that were previously uncharacteristic for retail, which leads to optimization of the consumer effort index (CES, Customer Effort Score), and in the long term β to a qualitative change in the industry and an increase in LTV of the buyer.
Development
The development of containerization technologies and microservices continues. If in previous years there were only separate projects using these technologies, albeit quite high-profile ones, then this year it will become mainstream.
When it comes to high-load, business-critical systems, the demands for security, reliability, operations, flexibility to change, and faster time to market will increasingly keep developers, operations, security, business, and QA at work. by a single team and in a single DevSecOps logic.
Machine learning
The mass implementation of machine learning is most often hindered by organizational measures that accompany the implementation process. This is where the major changes will take place.
The key technological challenge is fast adaptation to changing data. How to work with the model when the historical data is outdated or a new data type has appeared? Let's say a new machine with new sensors arrived at the factory, a retailer added a new product category, and so on. Therefore, a lot of effort will be put into research work in the field of AutoML and work with synthetic data.
Smartsourcing
For several years now, many large organizations have been moving towards independent development of solutions, attracting contractors only within the framework of team extension and smartsourcing. In addition to the well-known strengths, this approach also has disadvantages: the performer is only responsible for the quality of specialists paid in the T&M logic, and on the organization side, the leading part of the team may be distracted by other tasks and lack some of the competencies. This reduces the effectiveness of projects and dilutes responsibility for the result. Now that the problems have become visible, this area is waiting for a transformation. Gradually, contractor teams will share at least part of the responsibility for the final result of projects and become more involved in the organization's business processes.
5G
The whole world is waiting for the global launch of fifth generation networks. They will provide high speeds - up to tens of Gb / s - and the minimum delay in signal transmission, as well as push the development of IoT and machine-to-machine communication in all its manifestations.
In Russian million-plus cities, the new cellular communication standard is planned to be launched by 2020. According to the Ministry of Communications, at least eight Russian cities will be covered. 9 pilot 5G support zones have already been launched in Moscow.
By the way, the first successful cases of using the technology were back in 2018, when MegaFon and Huawei demonstrated the technology of remote ultrasound and genetic sequencing in 5G networks. And in 2019, the first 5G esports tournament was held - and so far this is the only pilot project with the real use of 5G and Cloud Gaming technologies in the field of digital entertainment. The event was held as part of the broadcast of the Dota2 The International 2019 super tournament.
Wi-Fi 6
The new Wi-Fi 6 standard significantly increases the density of connections, that is, each access point will be able to support more subscribers. This is especially important for organizing wireless access in large shopping centers, airports and cities in general. However, in Russia, the demand for Wi-Fi 6 will be formed more slowly than abroad, since Wi-Fi 6-based solutions are mainly designed by foreign vendors with a distant planning horizon. A possible obstacle to the implementation of the new standard is the lack of a clear benefit for individuals and some business segments. However, Wi-Fi 6 is indispensable for the implementation of the Smart City and IIoT concepts. The tangible result of the transition to the new standard will be noticeable only if all network devices support Wi-Fi 6 - we expect the development of this process in 2020.
Infrastructure as code
βInfrastructure as code,β sometimes referred to as βprogrammable infrastructure,β is a model in which the process of setting up an infrastructure is similar to the process of programming software. In fact, it began to eliminate the boundaries between writing applications and creating environments for these applications. Applications can contain scripts that create and manage their own virtual machines. It is the backbone of cloud computing and an integral part of DevOps.
"Infrastructure as code" allows you to manage virtual machines at the program level. This eliminates the need for manual configuration and updates for individual hardware components.
The infrastructure becomes extremely elastic, i.e. reproducible and scalable. A single operator, using the same set of code, can deploy and manage one or a thousand machines. Among the advantages of the approach are speed, cost-effectiveness and risk reduction.
Smart Everything
Engineering systems and gadgets are endowed with "mind", and then they begin to analyze the data coming from outside. Smart toaster, smart CCTV, smart helmets for businesses are just a few examples of improved items. This approach increases the controllability and efficiency of devices and allows you to create ecosystems of machines and things from the offline world that can communicate online both with each other and with their owner.
Source: habr.com