For example, a developer might want to investigate which API calls against a service have triggered certain known error states, as evidenced by an error log entry. To make use of the various log streams, indexing, search, and analysis infrastructure must be built. But this end-to-end understanding doesn’t come for free. This array of tools makes it possible to achieve end-to-end telemetry of system health and log information, which is a critical piece of infrastructure for any distributed, large-scale application. Standard debug tools are replaced by distributed metrics and log collection and aggregation infrastructure, including such tools as Datadog, OpenTracing/Zipkin, Grafana, Influx, and Prometheus. Telemetry - the distributed-systems analog to IDEs and debuggers for local development workflows - allows developers and SREs to understand performance, health, and usage patterns of applications. Local developer tools such as IDEs or debuggers are not sufficient for analyzing and understanding the behavior of unsynchronized processes, written in a number of different languages, running on heterogeneous infrastructure. requires investigating a complex, distributed system. Understanding application behavior - including resource utilization, performance, bugs, etc.
Use apache lucene for indexing software#
This microservice architecture provides distinct advantages (isolation of concerns, independent scalability, faster iteration and deployment, congruent software and team architecture, etc.), but it comes at a cost. Today’s modern web applications are typically composed of tens to thousands of individual services, each providing a subset of the application’s functions.
Indexing and Querying Telemetry Logs with Lucene
0 kommentar(er)
