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[悬赏]人工智能如何改变IT运营和DevOps (已翻译29%)

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英文原文:How Artificial Intelligence will Transform IT Operations and DevOps
标签: 人工智能
admin 发布于 2017-06-02 09:48:04 (共 7 段, 本文赏金: 26元)
参与翻译(1人): 廿九_ 默认 | 原文

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可以说,DevOps和IT运营团队在未来几年将面临新的挑战,这听起来有些多余,因为他们的核心职责是解决问题和克服挑战。然而,随着当前过程、技术和工具的变化的惊人速度,应对这一问题变得相当困难。此外,业务用户对DevOps和IT运营团队施加的压力令人震惊,他们要求通过点击应用程序来解决所有问题。然而,在后端,处理问题是另一回事;用户甚至无法想象找到一个问题并解决它有多么困难。

IT运营和DevOps团队现在面临的最大挑战之一是能够精确地发现大数据流中的小而有潜在危害的问题,这些大数据流正在被记录在他们的环境中。简单地说,这就像在干草堆中找到一根针一样。

如果您在一家在线公司的IT部门工作,而该公司拥有24小时的可用性,那么下面的场景对您来说可能很熟悉。假设你在半夜接到一个愤怒的客户或老板的电话,抱怨信用卡交易失败或应用程序崩溃。你马上去你的笔记本电脑,打开日志管理系统。您可以看到,在设定的时间框架内记录的消息超过十万条--这是人类不可能逐行查看的数据集。

那么在这种情况下你会做什么呢?

 这是每一个IT运营和DevOps专业人士的都会经历的事情;他们花了很多不眠之夜,在日志条目的海洋中寻找触发特定事件的关键事件。这就是实时和集中日志分析的救星。它帮助他们理解日志数据的基本方面,并容易识别出主要问题。有了这个,麻烦就来了重新分配的过程变成了在公园散步,使它更短,更有效,并使专家能够预测未来的问题。


廿九_
翻译于 2018-02-02 16:17:56
 

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人工智能及其对IT运营与发展的影响

而人工智能(AI)曾经是几十年前的流行语,现在由于不同的目的被普遍应用在不同的行业。结合大数据,AI和人类领域的知识、技术人员和科学家已经能够创造惊人的突破和机会,过去只有科幻小说和电影才有这种突破和机会。

随着IT操作变得灵活和动态,它们也变得非常复杂。人人类的大脑不再能够跟上日常操作中的速度、体积和大数据量的变化,使人工智能成为优化分析和决策过程的有力和必要的工具.。AI帮助填补了人类与大数据之间的空白,给他们必要的操作智能和速度,大大免除故障排除和实时决策的负担。


廿九_
翻译于 2018-02-02 16:20:35
 

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Addressing the Elephant in the Room – How AI can Help

In all the above situations, one thing is common; these companies need a solution – as discussed in the beginning – that helps IT and DevOps teams to quickly find problems in the mountain of log data entries. To identify that single log entry putting cracks in the environment and crashing your applications, wouldn’t it be easy if you just knew what kind of error you are looking for to filter your log data? Of course, it would cut down the amount of work by half.

One solution can be to have a platform that has collected data from the internet about all kinds of related incidents, observed how people using similar setups resolved them in their systems, and scanned through your system to identify the potential problems. One way to achieve this is to design a system that mimics how a user investigates, monitors, and troubleshoots events, and allows it to develop an understating how humans interact with data instead of trying to analyze the data itself. For example, this technology can be similar to Amazon’s product recommendation system and Google’s PageRank algorithm, but it will be focused on log data. 



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Introducing Cognitive Insights

A recent technology implements a solution as envisioned by this post. The technology - which has been generating quite a lot of buzz lately- is called Cognitive Insights. This groundbreaking technology uses machine-learning algorithms to match human domain knowledge with log data, along with open source repositories, discussion forums, and social thread. Using all this information, it makes a data reservoir of relevant insights that may contain solutions to a wide range of critical issues, faced by IT operations and DevOps teams on a daily basis.

cognitive insights

Overview of top insights that contain solutions to critical issues 



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The Real-Time Obstacles

DevOps engineers, IT Operations managers, CTOs, VP engineering, and CISO face numerous challenges, which can be mitigated effectively by integrating AI in log analysis and related operations. While there are several applications of Cognitive Insights, the two main use cases are:

Distributed Denial of Service (DDoS) attacks are increasingly becoming common. What used to be just limited to governments, high-profile websites, and multinational organizations is now targeting prominent individuals, SMBs and mid-sized enterprises. 

To ward off such attacks, having a centralized logging architecture to identify suspicious activities and pinpoint the potential threats from thousands of entries is essential. For this, anti-DDoS mitigation through Cognitive Insights has been proven to be highly effective. Leading names, such as Dyn and British Airways, that sustained significant damage from DDoS attacks in the past now have a full-fledge, ELK-based anti-DDoS mitigation strategy in place to keep hackers at bay and secure their operations from any future attacks. 

Cognitive Insights pinpoints the potential threats from thousands of entries 



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IT Operations

Wouldn’t it be great to have all your logs compiled into a single place, with each entry carefully monitored and registered? Well, certainly. You will be able to view the process flow clearly and execute queries pertaining to the logs from different applications all from one place, hence dramatically increasing the efficiency of your IT operations. To solve one of the biggest challenges IT operations and DevOps teams face is being able to pinpoint the small yet potentially harmful issues in large streams of log data in their environment. This is precisely what Cognitive Insights does. Since the core of this program is based on the ELK stack, it sorts and simplifies the data and makes it easy to have clear picture of your IT operations. Asurion and Performance Gateway are perfect examples that have leveraged from Cognitive Insights and taken their IT game up a notch.

Quickly find the needle in the “IT operations” haystack and eliminate the main problems

The Good AI Integration can Yield

Using AI driven log analytics systems, it becomes considerably easy to find the needle in the haystack, and efficiently solve issues. Such a system will have a considerable impact on management and operations of the entire organization. Like the problems of companies discussed above in this blog, integrating AI with log management system will benefit in:

  • Improved customer success
  • Monitoring and customer support
  • Risk reduction and resource optimization
  • Maximize efficiency by making logging data accessible

In other words, Cognitive Insights and other similar systems can be of great help in data log management and troubleshooting. 

Rent-A-Center (RAC) is a Texas-based, Fortune 1000 company that offers a wide range of rent-to-own products and services. It has over 3000 stores and 2000 kiosks spread across Mexico, Puerto Rico, Canada, and United States. The company tried integrating two different ELK stacks, but handling 100GB data every day was too much of a hassle, not to mention the exorbitant cost and time spent every day for disk management, memory tuning, additional data input capabilities, and other technical issues. RAC transitioned to Cognitive Insights, which gave them the confidence that they will be able to detect future anomalies and made it quite easily to scale the constantly growing volume of data. They benefitted from a dedicated IT team managing on-premise and off-premise ELK stacks. 



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The Role of Open Source in Data Log Management

Many reputed vendors are proactively researching and testing AI in different avenues to enhance the efficiency of data log management systems. Some of the vendors are:

There is no surprise in the fact that ELK is fast becoming part of the trend, and more and more vendors are offering logging solutions. This is because it has become a great way for companies to install a setup without incurring a staggering upfront cost. It also allows for some basic graphing and searching capabilities, and in order for the organizations to recognize the issues in their haystack of log data, they can opt for latest technologies, like Cognitive Insights, to quickly find the needle and eliminate the main problems. 


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