kafka log aggregation

1. Background information Many of the company's platforms generate a large number of logs (typically streaming data, such as the PV of search engines, queries, etc.), which require a specific log system, which in general requires the following characteristics: (1) Construct the bridge of application system and analysis system, and decouple the correlation between them; (2) support the near real-time on-line analysis system and the off-line analysis sy

ERROR Log event analysis in kafka broker: kafka. common. NotAssignedReplicaException, The most critical piece of log information in this error log is as follows, and most similar error content is omitted in the middle. [2017-12-27 18:26:09,267] ERROR [KafkaApi-2] Error when

First attach the Kafka operation log profile: Log4j.propertiesSet the log according to the appropriate requirements.#日志级别覆盖规则 Priority: All off#1The . Sub-log Log4j.logger overwrites the primary log Log4j.rootlogger, where the log

Prerequisites: 1: You may need to understand the logback log system. 2: You may need a preliminary understanding of Kafka. 3: Before viewing the code, please carefully refer to the business diagram of the system Because Kafka itself comes with the "hadoop" interface, if you need to migrate files in Kafka directly

Kafka of Log CollectionHttp://www.jianshu.com/p/f78b773ddde5First, IntroductionKafka is a distributed, publish/subscribe-based messaging system. The main design objectives are as follows: Provides message persistence in a time-complexity O (1) manner, guaranteeing constant-time complexity of access performance even for terabytes or more data High throughput rates. Capable of single-machine supp

. NET down-log system construction--log4net+kafka+elk preface Our company's program log is a way of using log4net to record file logs (the simple use of log4net can be seen in my other blog), but as our team grew larger and bigger, the project grew and our users grew more and more. Slowly the system has exposed a lot of problems, this time our

1. Overview　　Video tutorial for this course Address: Application Overview of the Kafka Combat projectThis course is carried out by a user in real-time escalation of the log, through the introduction of Kafka business and application scenarios, and with everyone to build the Kafka project of the actual development envir

Objective To undertake the above (the. NET core of the MicroServices log uses Nlog to implement log collection www.cnblogs.com/maxzhang1985/p/9522017.html through Kafka). Net/core implementation, Our goal is to enable the dotnet and Java services in the microservices environment to be collected in a unified manner.The Java System Spring Boot + Logback is easy to

architecture, distributed, log queue, the title itself is looking at bluffing, in fact, is a log collection function, but in the middle add a Kafka do message queue.Kafka IntroductionKafka is an open source processing platform developed by the Apache Software Foundation, written by Scala and Java. Kafka is a high-throu

number of partitions partions, the more the topic message is dispersed, the more evenly distributed message distribution in the cluster. Then use the kafka-topics.sh--describe parameter to see topic for Kafka Details: The first line of output is a summary of all partitions, and each subsequent row is a description of the partition. You can see the message topic for Ka