update docs related to V2 config

Author: henryzhx

.markdownlint.json

@@ -0,0 +1,4 @@
+{
+    "MD013": false,
+    "MD033": false
+}

README.md

@@ -71,7 +71,7 @@ Our official **User Manual** is located here:
 
 [Configuration](https://ilogtail.gitbook.io/ilogtail-docs/configuration/collection-config)
 
-[All Plugins](https://ilogtail.gitbook.io/ilogtail-docs/data-pipeline/overview)
+[All Plugins](https://ilogtail.gitbook.io/ilogtail-docs/plugins/overview)
 
 [Getting Started](https://ilogtail.gitbook.io/ilogtail-docs/awesome-ilogtail/getting-started)
 

docs/cn/SUMMARY.md

@@ -26,79 +26,79 @@
 ## 概念 <a href="#concepts" id="concepts"></a>
 
 * [关键概念](concepts/key-concepts.md)
-* [数据流水线](concepts/data-pipeline.md)
 
 ## 配置 <a href="#configuration" id="configuration"></a>
 
 * [采集配置](configuration/collection-config.md)
 * [系统参数](configuration/system-config.md)
 * [日志](configuration/logging.md)
 
-## 数据流水线 <a href="#data-pipeline" id="data-pipeline"></a>
-
-* [概览](data-pipeline/overview.md)
-* [插件版本管理](data-pipeline/stability-level.md)
-* [输入](data-pipeline/input/README.md)
-  * [文本日志](data-pipeline/input/file-log.md)
-  * [脚本执行数据](data-pipeline/input/input-command.md)
-  * [容器标准输出](data-pipeline/input/service-docker-stdout.md)
-  * [文本日志（debug）](data-pipeline/input/metric-debug-file.md)
-  * [MetricInput示例插件](data-pipeline/input/metric-input-example.md)
-  * [主机Meta数据](data-pipeline/input/metric-meta-host.md)
-  * [Mock数据-Metric](data-pipeline/input/metric-mock.md)
-  * [eBPF网络调用数据](data-pipeline/input/metric-observer.md)
-  * [主机监控数据](data-pipeline/input/metric-system.md)
-  * [MySQL Binlog](data-pipeline/input/service-canal.md)
-  * [GO Profile](data-pipeline/input/service-goprofile.md)
-  * [GPU数据](data-pipeline/input/service-gpu.md)
-  * [HTTP数据](data-pipeline/input/service-http-server.md)
-  * [ServiceInput示例插件](data-pipeline/input/service-input-example.md)
-  * [Journal数据](data-pipeline/input/service-journal.md)
-  * [Kafka](data-pipeline/input/service-kafka.md)
-  * [Mock数据-Service](data-pipeline/input/service-mock.md)
-  * [SqlServer 查询数据](data-pipeline/input/service-mssql.md)
-  * [OTLP数据](data-pipeline/input/service-otlp.md)
-  * [PostgreSQL 查询数据](data-pipeline/input/service-pgsql.md)
-  * [Syslog数据](data-pipeline/input/service-syslog.md)
-* [处理](data-pipeline/processor/README.md)
-  * [添加字段](data-pipeline/processor/processor-add-fields.md)
-  * [添加云资产信息](data-pipeline/processor/processor-cloudmeta.md)
-  * [原始数据](data-pipeline/processor/processor-default.md)
-  * [数据脱敏](data-pipeline/processor/processor-desensitize.md)
-  * [丢弃字段](data-pipeline/processor/processor-drop.md)
-  * [字段加密](data-pipeline/processor/processor-encrypy.md)
-  * [条件字段处理](data-pipeline/processor/processor-fields-with-condition.md)
-  * [日志过滤](data-pipeline/processor/processor-filter-regex.md)
-  * [Go时间格式解析](data-pipeline/processor/processor-gotime.md)
-  * [Grok](data-pipeline/processor/processor-grok.md)
-  * [Json](data-pipeline/processor/processor-json.md)
-  * [日志转SLS Metric](data-pipeline/processor/processor-log-to-sls-metric.md)
-  * [正则](data-pipeline/processor/processor-regex.md)
-  * [重命名字段](data-pipeline/processor/processor-rename.md)
-  * [分隔符](data-pipeline/processor/processor-delimiter.md)
-  * [键值对](data-pipeline/processor/processor-split-key-value.md)
-  * [多行切分](data-pipeline/processor/processor-split-log-regex.md)
-  * [字符串替换](data-pipeline/processor/processor-string-replace.md)
-* [聚合](data-pipeline/aggregator/README.md)
-  * [基础](data-pipeline/aggregator/aggregator-base.md)
-  * [上下文](data-pipeline/aggregator/aggregator-context.md)
-  * [按Key分组](data-pipeline/aggregator/aggregator-content-value-group.md)
-  * [按GroupMetadata分组](data-pipeline/aggregator/aggregator-metadata-group.md)
-* [输出](data-pipeline/flusher/README.md)
-  * [Kafka（Deprecated）](data-pipeline/flusher/flusher-kafka.md)
-  * [kafkaV2](data-pipeline/flusher/flusher-kafka_v2.md)
-  * [ClickHouse](data-pipeline/flusher/flusher-clickhouse.md)
-  * [ElasticSearch](data-pipeline/flusher/flusher-elasticsearch.md)
-  * [SLS](data-pipeline/flusher/flusher-sls.md)
-  * [标准输出/文件](data-pipeline/flusher/flusher-stdout.md)
-  * [OTLP日志](data-pipeline/flusher/flusher-otlp.md)
-  * [Pulsar](data-pipeline/flusher/flusher-pulsar.md)
-  * [HTTP](data-pipeline/flusher/flusher-http.md)
-  * [Loki](data-pipeline/flusher/loki.md)
-* [加速](data-pipeline/accelerator/README.md)
-  * [分隔符加速](data-pipeline/accelerator/delimiter-accelerate.md)
-  * [Json加速](data-pipeline/accelerator/json-accelerate.md)
-  * [正则加速](data-pipeline/accelerator/regex-accelerate.md)
+## 插件 <a href="#plugins" id="plugins"></a>
+
+* [概览](plugins/overview.md)
+* [版本管理](plugins/stability-level.md)
+* [输入](plugins/input/README.md)
+  * [文本日志](plugins/input/file-log.md)
+  * [脚本执行数据](plugins/input/input-command.md)
+  * [容器标准输出](plugins/input/service-docker-stdout.md)
+  * [文本日志（debug）](plugins/input/metric-debug-file.md)
+  * [MetricInput示例插件](plugins/input/metric-input-example.md)
+  * [主机Meta数据](plugins/input/metric-meta-host.md)
+  * [主机监控数据](plugins/input/metric-system.md)
+  * [Mock数据-Metric](plugins/input/metric-mock.md)
+  * [eBPF网络调用数据](plugins/input/metric-observer.md)
+  * [主机监控数据](plugins/input/metric-system.md)
+  * [MySQL Binlog](plugins/input/service-canal.md)
+  * [GO Profile](plugins/input/service-goprofile.md)
+  * [GPU数据](plugins/input/service-gpu.md)
+  * [HTTP数据](plugins/input/service-http-server.md)
+  * [ServiceInput示例插件](plugins/input/service-input-example.md)
+  * [Journal数据](plugins/input/service-journal.md)
+  * [Kafka](plugins/input/service-kafka.md)
+  * [Mock数据-Service](plugins/input/service-mock.md)
+  * [SqlServer 查询数据](plugins/input/service-mssql.md)
+  * [OTLP数据](plugins/input/service-otlp.md)
+  * [PostgreSQL 查询数据](plugins/input/service-pgsql.md)
+  * [Syslog数据](plugins/input/service-syslog.md)
+* [处理](plugins/processor/README.md)
+  * [添加字段](plugins/processor/processor-add-fields.md)
+  * [添加云资产信息](plugins/processor/processor-cloudmeta.md)
+  * [原始数据](plugins/processor/processor-default.md)
+  * [数据脱敏](plugins/processor/processor-desensitize.md)
+  * [丢弃字段](plugins/processor/processor-drop.md)
+  * [字段加密](plugins/processor/processor-encrypy.md)
+  * [条件字段处理](plugins/processor/processor-fields-with-condition.md)
+  * [日志过滤](plugins/processor/processor-filter-regex.md)
+  * [Go时间格式解析](plugins/processor/processor-gotime.md)
+  * [Grok](plugins/processor/processor-grok.md)
+  * [Json](plugins/processor/processor-json.md)
+  * [日志转SLS Metric](plugins/processor/processor-log-to-sls-metric.md)
+  * [正则](plugins/processor/processor-regex.md)
+  * [重命名字段](plugins/processor/processor-rename.md)
+  * [分隔符](plugins/processor/processor-delimiter.md)
+  * [键值对](plugins/processor/processor-split-key-value.md)
+  * [多行切分](plugins/processor/processor-split-log-regex.md)
+  * [字符串替换](plugins/processor/processor-string-replace.md)
+* [聚合](plugins/aggregator/README.md)
+  * [基础](plugins/aggregator/aggregator-base.md)
+  * [上下文](plugins/aggregator/aggregator-context.md)
+  * [按Key分组](plugins/aggregator/aggregator-content-value-group.md)
+  * [按GroupMetadata分组](plugins/aggregator/aggregator-metadata-group.md)
+* [输出](plugins/flusher/README.md)
+  * [Kafka（Deprecated）](plugins/flusher/flusher-kafka.md)
+  * [kafkaV2](plugins/flusher/flusher-kafka_v2.md)
+  * [ClickHouse](plugins/flusher/flusher-clickhouse.md)
+  * [ElasticSearch](plugins/flusher/flusher-elasticsearch.md)
+  * [SLS](plugins/flusher/flusher-sls.md)
+  * [标准输出/文件](plugins/flusher/flusher-stdout.md)
+  * [OTLP日志](plugins/flusher/flusher-otlp.md)
+  * [Pulsar](plugins/flusher/flusher-pulsar.md)
+  * [HTTP](plugins/flusher/flusher-http.md)
+  * [Loki](plugins/flusher/loki.md)
+* [加速](plugins/accelerator/README.md)
+  * [分隔符加速](plugins/accelerator/delimiter-accelerate.md)
+  * [Json加速](plugins/accelerator/json-accelerate.md)
+  * [正则加速](plugins/accelerator/regex-accelerate.md)
 
 ## 工作原理 <a href="#principle" id="principle"></a>
 

docs/cn/about/brief-history.md

@@ -2,9 +2,9 @@
 
 秉承着阿里人简单的特点，iLogtail的命名也非常简单，我们最开始期望的就是能够有一个统一去Tail日志的工具，所以就叫做Logtail，添加上“i”的原因主要当时使用了inotify的技术，能够让日志采集的延迟控制在毫秒级，因此最后叫做iLogtail。从2013年开始研发，iLogtail整个发展历程概括起来大致可以分为四个阶段，分别是飞天5K阶段、阿里集团阶段、云原生阶段和开源共建阶段。
 
-![](<../.gitbook/assets/ilogtail-history.png>)
+![ilogtail发展历史](<../.gitbook/assets/ilogtail-history.png>)
 
-### 飞天5K阶段 <a href="#4ever-bi-127" id="4ever-bi-127"></a>
+## 飞天5K阶段 <a href="#4ever-bi-127" id="4ever-bi-127"></a>
 
 作为中国云计算领域的里程碑，2013年8月15日，阿里巴巴集团正式运营服务器规模达到5000（5K）的“飞天”集群，成为中国第一个独立研发拥有大规模通用计算平台的公司，也是世界上第一个对外提供5K云计算服务能力的公司。飞天5K项目从2009年开始，从最开始的30台逐渐发展到5000，不断解决系统核心的问题，比如说规模、稳定性、运维、容灾等等。而iLogtail在这一阶段诞生，最开始就是要解决5000台机器的监控、问题分析、定位的工作（如今的词语叫做“可观测性”）。从30到5000的跃升中，对于可观测问题有着诸多的挑战，包括单机瓶颈、问题复杂度、排查便捷性、管理复杂度等。
 
@@ -17,7 +17,7 @@
 * 运维：加入集团yum源，运行状态监控，异常自动上报
 * 规模：3W+部署规模，上千采集配置项，日10TB数据
 
-### 阿里集团阶段 <a href="#4ever-bi-265" id="4ever-bi-265"></a>
+## 阿里集团阶段 <a href="#4ever-bi-265" id="4ever-bi-265"></a>
 
 iLogtail在阿里云飞天5K项目中的应用解决了日志、监控统一收集的问题，而当时阿里巴巴集团、蚂蚁等还缺少一套统一、可靠的日志采集系统，因此我们开始推动iLogtail作为集团、蚂蚁的日志采集基础设施。从5K这种相对独立的项目到全集团应用，不是简单复制的问题，而我们要面对的是更多的部署量、更高的要求以及更多的部门：
 
@@ -34,7 +34,7 @@ iLogtail在阿里云飞天5K项目中的应用解决了日志、监控统一收
 * 运维：基于集团StarAgent自动安装与守护，异常主动通知，提供多种问题自查工具
 * 规模：百万+部署规模，千级别内部租户，10万+采集配置，日采集PB级数据
 
-### 云原生阶段 <a href="#4ever-bi-329" id="4ever-bi-329"></a>
+## 云原生阶段 <a href="#4ever-bi-329" id="4ever-bi-329"></a>
 
 随着阿里所有IT基础设施全面云化，以及iLogtail所属产品[SLS](https://www.aliyun.com/product/sls)（日志服务）正式在阿里云上商业化，iLogtail开始全面拥抱云原生。从阿里内部商业化并对外部各行各业的公司提供服务，对于iLogtail的挑战的重心已经不是性能和可靠性，而是如何适应云原生（容器化、K8s，适应云上环境）、如何兼容开源协议、如何去处理碎片化需求。这一阶段是iLogtail发展最快的时期，经历了非常多重要的变革：
 
@@ -43,7 +43,7 @@ iLogtail在阿里云飞天5K项目中的应用解决了日志、监控统一收
 * 插件化扩展：iLogtail增加插件系统，可自由扩展Input、Processor、Aggregator、Flusher插件用以实现各类自定义的功能
 * 规模：千万部署规模，数万内外部客户，百万+采集配置项，日采集数十PB数据
 
-### 开源共建阶段
+## 开源共建阶段
 
 闭源自建的软件永远无法紧跟时代潮流，尤其在当今云原生的时代，我们坚信开源才是iLogtail最优的发展策略，也是释放其最大价值的方法。iLogtail作为可观测领域最基础的软件，我们将之开源，也希望能够和开源社区一起共建，持续优化，争取成为世界一流的可观测数据采集器。对于未来iLogail的发展，我们期待：
 

docs/cn/about/license.md

@@ -2,7 +2,7 @@
 
 [iLogtail](https://github.com/alibaba/ilogtail)，包括内核、插件和工具均遵循[Apache License v2.0](http://www.apache.org/licenses/LICENSE-2.0)分发：
 
-```
+```plain
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/