If IT operations and maintenance fail to do this, congratulations, you will be blamed for this.

When it comes to IT operations and maintenance, most students think of: taking the blame, filling the gap, being on call 24/7, putting out fires...

What is it like to be a maintenance engineer?

As long as the company's business is interrupted, data is lost, and the boss goes berserk, you will be blamed!

I don’t care if it’s because of a virus, a natural disaster, or someone’s revenge, deleting the database and running away… The normal state of work and life is:

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IT operation and maintenance engineers are always quietly hiding behind the design, product, and development teams, and are the unsung heroes who make the business run smoothly. Once a business fails, they begin to surface and respond to the crisis.

As operation and maintenance experts, what hurts us most is not taking the blame, but the accidents that always happen in the middle of the night and the helplessness of having to get up late at night to work because of DingTalk.

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Today is my 396th day in the operation and maintenance industry. During the period when the workload was the heaviest, I worked five days a week and had two days off. Four nights I was woken up by DingTalk calls in the early morning! However, when analyzing the causes of the accidents, we found that many of them were things we could predict in advance, but they happened due to inadequate monitoring and backup.

If the company's business is damaged due to these reasons, the blame will definitely be on you!

Today I will share with you a very practical operation and maintenance tool, which can help us avoid taking the blame to a great extent. It can be called an operation and maintenance tool - Professor Wang.

It can regularly conduct multi-dimensional "health diagnosis" for synchronized asset information, helping us to discover system security vulnerabilities and performance bottlenecks, and at the same time give optimization suggestions to prevent hidden dangers, discover problems in time, and shorten the initial response time of failures. You only need to log in to the platform to open it, and you can see the problems in the system, which helps us greatly reduce the sudden operation and maintenance conditions!

Below I will briefly introduce its use~

Configuration and use

1. Connect to cloud services

We need to configure the connection to the cloud service in "Professor Wang" first.

For detailed steps, please click on the link: https://help.prof.wang/doc/e86f4172d860e889e73aaf20be5cb8f2c9c45362

After the cloud account is connected to Professor Wang's platform, you can view the intelligence provided by Professor Wang's platform after diagnosing and analyzing the asset status on the intelligence page.

2. Check the intelligence

Click Intelligence in the top navigation bar to switch to the Intelligence page.

3. View the intelligence diagnostic items under "Intelligence"

Click on a piece of intelligence and you can view Professor Wang’s diagnostic analysis and suggestions in the intelligence details.

View asset diagnostics in Intelligence Details

After reading the introduction, you may find that the problem is no longer a problem. With "Professor Wang" in hand, you no longer have to worry about being cueed by your boss anytime and anywhere!

Selected diagnostic items

1. The server CPU suddenly surges?

-Professor Wang's diagnosis

"The average CPU usage in the past 7 days exceeds 70%" allows you to predict the CPU usage in advance and prepare for capacity expansion in advance.

2. Website traffic suddenly increases?

-Professor Wang's diagnosis

"High bandwidth usage" helps you avoid business surges that may affect your business due to bandwidth limitations.

3. Business website cannot be accessed?

-Professor Wang's diagnosis

"Server is about to expire" allows you to renew in advance to avoid your business website being inaccessible due to server downtime.

4. The log file cannot be saved?

-Professor Wang's diagnosis

"Insufficient disk space" allows you to expand the disk capacity in advance to avoid the problem of data being unable to be written due to insufficient disk space.