Shulou(Shulou.com)06/03 Report--

ELK "Elasticsearch、Logstash、Kibana"

Today is just understanding. The article on building services continues later.

Log collection and analysis has always been a problem for you and me, although we know that Splunk has become a multi-billion dollar star company by virtue of its dominance in this big data segment. But Splunk's price tag of $4500 per gigabyte is prohibitive. Until ELKstack appeared, everyone finally had an open source product to choose from.

ELKstack is a combination of Elasticsearch, Logstash and Kibana. In the case of real-time data retrieval and analysis, the three are usually shared together, and they are successively attributed to Elastic.co, so they have this abbreviation. Because this tool belongs to the heavyweight tool. The analysis applied to a large amount of data shows great results. Services commonly used in big data analytics platforms.

Why does this ELK look so charming to me no matter how I use it? Today, we take you into her mysterious world. First, we will explore her principles.

Flexible approach. Elasticsearch is a real-time full-text index that does not require pre-programming like storm to use;

Easy to configure. Elasticsearch all uses JSON interface, Logstash is Ruby DSL design, are currently the industry's most common configuration syntax design;

Efficient retrieval performance. Although each query is calculated in real time, excellent design and implementation can basically achieve the second-level response of tens of billions of data queries;

Cluster linear expansion. Both Elasticsearch and Logstash clusters are linearly scalable;

Front end operation is gorgeous. Kibana interface, just click the mouse, you can complete the search, aggregation function, generate dazzling dashboard.

Of course, ELKstack is not a panacea for real-time data analysis. In inappropriate situations, it will be half the effort. Therefore, we have to judge your business needs according to your business needs and consider your usage situation as appropriate.

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