2017 year-end planning: Five sharp words to help you review the IT operation and maintenance of the year

Speaking of 2017,

Bitcoin has experienced several roller coaster rides this year, but some companies have started using it to pay salaries, and as a result, the even crazier futures market has opened its arms to it.

This year, the use of mobile payment for eating fried dough sticks and drinking soy milk in Beijing surprised the President of South Korea; and the scanning of QR codes to buy sugar-roasted chestnuts in Shanghai confused the Prime Minister of Singapore.

This year, the hype of big data finally ended, as everyone was digging for gold in big data warehouses.

This year, from voice recognition to medical robots, every aspect of our lives has been surrounded by artificial intelligence.

Looking back at 2017, as a company that has been engaged in IT operation and maintenance for more than ten years, Beita Software has carefully selected the five most popular words of the year in the field of IT operation and maintenance. These reinterpreted words condense the IT operation and maintenance technology innovations and industry trends in the past year, thus helping you better understand IT operation and maintenance that keeps pace with the times.

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Big Data

Looking back at the whole of 2017, we can also see that the application scope of big data is getting wider and wider. Big data systems in various industries such as retail, media, medical, education, and automobiles are constantly emerging. In the past year, more and more government agencies and companies have begun to apply big data to IT operations and maintenance to solve Internet businesses supported by technologies such as microservices, containers, and cloud computing, and to rescue operations and maintenance personnel from the sea of ​​thousands of microservices, indicators, and alarms.

In order to help operation and maintenance personnel no longer have to work in a slash-and-burn environment, Beita Software released the first big data operation and maintenance product BTSO in the industry. Today, this system has developed into an intelligent platform covering all stages of data collection, data processing, data analysis, and data application, helping enterprises to smoothly migrate the original data storage architecture to the big data distributed computing architecture, and quickly realize in-depth data analysis and application.

Comment: Big data is a new opportunity, an opportunity for rebirth of operation and maintenance. If you don’t use it anymore, just watch your youth fade away.

Machine Learning

This year, AlphaGo Zero surpassed its predecessor and taught itself to play chess from scratch, defeating not only humans but also the game of Go that brings together all human experience. In addition, Gluon, Alex, and PyTorch are all making continuous progress, and ML will open up more windows in the industry, including operations and maintenance.

With the continuous generation of operation and maintenance events (operation and maintenance data), ML can, on the one hand, identify events based on empirical data, classify, attribute, and analyze events; on the other hand, it can dynamically change the conditions for the occurrence of events, which in turn affects the probability of the occurrence of events. It can use data to continuously create and update behavior models, rather than using static behaviors to find specific results. There is no doubt that machine learning will take IT operation and maintenance on the road to "cheating". As the main focus of technology research and development, Beita Software has taken the lead in adopting ML technology in the industry and has created a BTDO platform with "self-diagnosis, self-learning, and self-identification".

Comment: Neural networks, as a type of machine learning model, have been around for at least 50 years. However, to achieve good results, we still need strong enough computing power and a large amount of data, but at that time we could only look at the plums to quench our thirst, and people's enthusiasm for machine learning gradually cooled down. Today, with the support of big data and deep learning algorithms, it has finally come back.

AI

In 2017, artificial intelligence became a global "hot search topic". It is widely applicable to different industries and plays different roles. In terms of IT operation and maintenance, the development of artificial intelligence and machine learning technology has promoted a large number of IT operations that rely on human brain decision-making and manual operations to move rapidly towards intelligent operation and maintenance. In particular, when AI is integrated with the business operation and maintenance management platform based on big data, it can not only completely liberate us from the complicated, time-consuming and error-prone basic operation and maintenance work, but also allow us to focus on more valuable business operations and maintenance.

Comment: Artificial intelligence requires a large amount of data and algorithm accumulation. Companies that have accumulated data for many years are in luck.

container

The capabilities that containers bring to enterprise IT transformation are mainly reflected in two aspects: rapid delivery and continuous innovation capabilities before delivery, and efficient management and operation and maintenance capabilities after delivery. In addition, when it is impossible to distinguish between good and bad operation and maintenance capabilities, the continuity of the business system will be the most important indicator, and the lightweight characteristics and second-level startup capabilities of container technology provide opportunities for "equipment" upgrades for this indicator, thereby ensuring the continuity and high availability of the entire system. As domestic enterprises gradually accept the concept of containers, their in-depth application in operation and maintenance work has become an unavoidable technical issue in this field.

Comment: Because of this, containers are also called the "next generation Horcrux" of IT operations and maintenance.

Operation and maintenance integration (DevOps)

The concept of DevOps first gained popularity in Europe in 2009, due to the pain of traditional operation and maintenance. But why did it take so many years to become popular? Is it because it does not change the "unwritten rules" of operation and maintenance?

No. This is because the development of DevOps is not a one-tree-in-a-forest, and now there are more and more technical supports. The concept of microservice architecture and container technology make the implementation of DevOps easier, and the improvement of computing power and the development of cloud environment make it possible for rapidly developed products to be immediately more widely used. In 2017, we not only saw Internet giants such as Google, Facebook, Amazon, LinkedIn, Netflix, Airbnb and others in close contact with DevOps, but also traditional software companies such as Adobe, IBM, Microsoft, SAP, etc., or Apple, Walmart, Sony Pictures Entertainment, Starbucks and other companies whose network business is not core are adopting DevOps, and we also saw a large number of domestic companies begin to fall in love with it. The reason is simple. The "wall of chaos" between development and operation and maintenance, which could not be "demolished" for a long time, finally collapsed when DevOps arrived!

Comment: When development and operation are in a sweet relationship, don’t forget the testers. To be honest, the relationship between the “three people” is very messy.

Year-end summary:

This is just the tip of the iceberg of the profound changes taking place in the technological world. Operations and maintenance, a traditional technical job, has transformed from the stereotype of "mechanical labor" with the strong support of big data, artificial intelligence, and container technology, and has become a core technical capability that any technology company must rely on and invest heavily in.

At the same time, we will continue to integrate upstream advanced architecture and technical vision into Beita Software's own technical system, and use our increasingly close services to work with domestic users to become the protagonists of IT operation and maintenance management changes.