Big Data


Tracking machine data helps to protect network health and business success. It’s no secret that digital transformation is among the top priorities for many enterprise companies in 2017. That’s why there’s tremendous growth in the number of technologies supporting this initiative. Among them, one practice is consistently beneficial in any industry: log analysis.

Log analysis platforms help companies manage their IT environments. Teams ranging from IT to customer support to business intelligence to marketing can benefit from understanding what is happening in their servers, networks, and applications. Log analysis software reads log files and other machine data to identify trends and errors, increase productivity, discover possible security breaches, enable troubleshooting, and more.

For the growing number of companies undergoing digital transformation and striving to become data-driven, log analysis is becoming critical. For example, more and more companies are moving away from proprietary software in their digital transformations and towards the ELK Stack, a collection of three open source products: Elasticsearch, Logstash, and Kibana. Together, these three tools collect the logs from server systems, store them, and visualize the information in a monitoring dashboard. It is downloaded over 500,000 times per month.

Making the most of log data helps businesses tremendously. That’s why enterprises such as Rent-a-Center have used it to uncover irregularities that had the potential to affect their security while Kenshoo used it to streamline efficiency across multiple departments. The benefits of log analysis stretches from DevOps and IT departments to marketing and sales and more

“Many people don’t recognize the importance of log analysis since it is viewed as quite technical. But our customers have seen their bottom lines tremendously impacted in a variety of ways since implementation — from stopping security breaches in their tracks to alerting them of important irregularities and events, to being able to see where their customers need extra support. In addition, they are also able to catch potential system errors before they become problematic for their customers.” says Asaf Yigal, cofounder and VP Product of

No matter how or why your company has decided to jump on the digital transformation bandwagon, making sure you have the right tools will be key to your initiative’s success. So before you begin, take advantage of the power of log analysis for a successful 2017. is an AI-powered log analysis platform that offers the open source ELK Stack as a cloud service with machine learning technology. Visit the the company’s blog on DevOps, log analysis, and ELK and follow on Twitter, Facebook, LinkedIn, and Google+.

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