As organizations expand their IT environment, they may be underequipped to handle the complexity. Managing MySQL logs along with other infrastructure and application logs can be a big challenge.
Continuous monitoring of different performance and usage metrics in a distributed environment is not easy. Teams often lack tools that can help them search and identify issues to prevent or minimize downtimes.
As teams lack dedicated tools for logging and monitoring, they have to configure multiple open-source tools. Troubleshooting with all these applications can take up much time and effort.
As logs hold critical insights, it is important to create a reliable and scalable setup for managing all kinds of application, database, and infrastructure logs. SolarWinds? Loggly? meets this requirement with its cloud-based log management and analytics service. It can also solve all your MySQL query logging challenges.
You can send MySQL logs to Loggly over syslog using a simple script which configures your rsyslog daemon to track new events and transmit them continuously. With all your logs in one place, you can correlate different logs in real time, check trends, and make informed decisions to keep your IT environment shipshape.
A MySQL database can perform slowly due to many factors, and you can find answers by monitoring the logs. For instance, when you stream your slow query logs to Loggly, it automatically parses these logs into various fields and helps you visualize changes over time.
As Loggly is built for speed and interactivity, you can get your search results quickly. The dynamic field explorer is another important feature, that can help you click and browse through various fields without using multiple search queries. With these features, Loggly significantly improves the time to detect and troubleshoot issues and enables proactive management.
Loggly provides you with advanced charts and dashboards for a quick overview of your environment. It can simplify the monitoring of key performance metrics and usage statistics with your MySQL logs. For instance, a chart can help you identify if a query is always running slow or if there are specific periods of time when this happens. With such information, you can drill down to specific logs and get to the root cause of issues faster.
Loggly also allows you to share your dashboard with your team for improved collaboration. You can set alerts for specific events and thresholds, and receive them over notification services like Slack, HipChat, and more. With these integrations, your team can work closely to resolve issues in time.