What you'll learn
- What logs are and why correlating metrics and logs is critical across the development lifecycle
- The challenges of large-scale log management
- How Grafana Loki helps you reduce your logging costs and operations overhead
- Grafana in action with a demo on the power of the LogQL query language, and how to use it for use cases such as debugging, monitoring, analytics, and alert management
The shift to cloud native and microservices architectures has led to an explosion in log volume. As digital business grows, logs subsequently become harder to manage, and existing log management solutions become prohibitively expensive and difficult to operate. Moreover, these solutions are not natively integrated with metrics management solutions like Prometheus. In this third installment of the Grafana APAC Build series, learn about Grafana Loki, a logging system that only indexes the metadata surrounding the logs, not the log lines themselves, making it fast, cost-effective, and highly scalable. Using the same service discovery features as Prometheus, Loki ensures that your logs have labels that are consistent with your metrics, thus allowing you to easily correlate your metrics and logs.
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