A comprehensive log management and analysis strategy is vital, enabling organizations to understand the relationship between operational, security, and change management events and maintain a comprehensive understanding of their infrastructure. Log files from web servers, applications, and operating systems also provide valuable data, though in different formats, and in a random and distributed fashion.
No real-world web application can exist without a data storage backend, and most applications today use relational database management systems (RDBMS) for storing and managing data. The most commonly used database is MySQL, which is an open-source RDBMS that is the ‘M’ in the open-source enterprise LAMP Stack (Linux, Apache, MySQL and PHP).
Middle and large-sized applications send multiple database queries per second, and slow queries are often the cause of slow page loading and even crashes. The task of analyzing query performance is critical to determine the root cause of these bottlenecks, and most databases come with built-in profiling tools to help us.
Provisioning an Elasticsearch cluster in Qbox is easy. In this article, we walk you through the initial steps and show you how simple it is to start and configure your cluster. We then install and configure logstash to ship our MySQL or MariaDB/Galera logs to Elasticsearch. MySQL logs shipped to elasticsearch can then be visualized and analyzed via Kibana dashboards.