There’s no doubt that operational data — specifically log files — has become critical for enterprise organizations. This data is used to analyze past performance, predict future performance, troubleshoot issues, feed operational machine learning systems and much more.
As organizations use this data more expansively and in more critical ways, the volume of data has grown exponentially — along with the costs of the commercial systems that manage it. As a result, many developers and their organizations have turned to the open source ELK stack (for Elasticsearch, Logstash, and Kibana — now called the Elastic Stack) to handle this data.
The challenge, according to Logz.io, is that as great as open source is, it can be hard to implement and manage according to enterprise standards, is often more expensive over time due to its labor-intensive nature and that it becomes harder to find insights as organizations feed more data into the system. The company believes that it’s solution, which is essentially enhanced ELK as a cloud service, helps enterprise organizations solve these problems by offering unlimited data, automatic data parsing, and a fully managed environment.
The company further claims that its architecture delivers better performance and delivers the advanced log analytics, integration and security that enterprises require. Finally, the platform includes an ‘intelligence layer’ which applies artificial intelligence to optimize data, identify otherwise undetected patterns in the data, and establish correlations between new deployments and resulting log errors, among other uses.
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