大数据工具——Splunk

Splunk是一款用于处理、分析计算机数据的强大引擎,能够收集、索引和利用来自各种应用程序、服务器和设备的数据。它允许用户从单一位置搜索和分析实时及历史数据,解决和调查安全事件,监视基础设施性能,满足合规性需求,并关联多个系统的复杂事件。博客还提供了Splunk的校招信息,包括软件开发工程师和测试开发工程师职位,要求候选人具备扎实的计算机科学基础、优秀的编程技能以及良好的问题解决能力。

Splunk 是机器数据的引擎。使用 Splunk 可收集、索引和利用所有应用程序、服务器和设备(物理、虚拟和云中)生成的快速移动型计算机数据 。从一个位置搜索并分析所有实时和历史数据。 使用 Splunking 处理计算机数据,可让您在几分钟内(而不是几个小时或几天)解决问题和调查安全事件。监视您的端对端基础结构,避免服务性能降低或中断。以较低成本满足合规性要求。关联并分析跨越多个系统的复杂事件。获取新层次的运营可见性以及 IT 和业务智能。

 

更多信息可参考:

1、官方文档

2、论坛

3、相关文章:超级日志服务器-Splunk

 
ps:2004年,Splunk于美国旧金山成立,2006年第一个产品发布,2012年纳斯达克上市,是大数据业内第一个上市的企业。上海研发中心作为Splunk首个海外研发中心,旨在推动大数据在中国的发展,建立世界级的研发团队和创造领先的产品。
如:
--->软件开发工程师
期待喜欢算法、乐于创新的你!

Responsibilities:
• Work closely with the product team to design and develop a variety of features and reusable components
• Implement the features that use groundbreaking technologies
• Writes production quality code for a contained complicate feature set or function area
• Analyze and optimize front-end and back-end codes, and pursue simplicity, efficiency, reliability and performance
• Use independent judgment to take existing code, understand its function and change/enhance as needed

Requirements:
• Solid foundation in computer science, with strong competences in operating systems, computer networks, data structures, algorithms and software design
• Excellent coding skills in C/C++, Java, or server side Python
• Excellent problem solving, collaboration and communication skills
• A demonstrated capability for creative thinking, intellectual and entrepreneurial exploration

Education:
• BS, MS or PhD in Computer Science or related engineering discipline

--->测试开发工程师
期待思维缜密、善于分析的你!

Responsibilities:
• Design and develop detailed automation test cases from test plans and feature specifications
• Create, maintain and extend testing framework and infrastructure
• Ensure high testing coverage and customer-friendly product usability
• Optimize testing process during software development lifecycle
• Research and investigate cutting-edge testing methodologies and apply them to daily work

Requirements:
• Basic knowledge of QA methodologies, troubleshooting and diagnostic skills
• Extensive knowledge of Unix/Linux administration. Knowledge of file system, storage, web service and Linux kernel is highly desirable
• Excellent coding skills in C/C++, Java, or server side Python
• Familiarity with scripting languages, such as Python, JavaScript, Shell
• Strong problem solving skills with ability to find out root cause
• Willingness to take challenges and learn new technologies
• Fluency in both oral and written English

Education: Got it!
• BS, MS or PhD in Computer Science or related engineering discipline

 



转载于:https://www.cnblogs.com/carsonzhu/p/5204945.html

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