您好，有人可以就以下问题提出建议：
我有 AKS kubernetes 集群，我正在使用 EFK 堆栈来获取日志。Fluentd 在 pod 中运行。
我有 nginx 应用程序 pod，我将其解析为单独的字段。nginx日志：
10.244.x.x - - [12/Oct/2020:18:49:09 +0000] "GET /config.json HTTP/1.1" 200 - "https://website.azure.com" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)"
所以对于第一个值（10.244.xx）我进入kibana：remote 10.244.x.x
但我想把这个 ip 转换成 geoip 格式，这样我就可以在 kibana 中创建可视化。请问我需要做什么才能使用 EFK 创建 geoip ？
我正在使用 fluentd 图像：fluent/fluentd-kubernetes-daemonset:v1-debian-elasticsearch
这是我用 configmap 插入到 fluentd 中的 fluen.conf：
# AUTOMATICALLY GENERATED
# DO NOT EDIT THIS FILE DIRECTLY, USE /templates/conf/fluent.conf.erb
@include "#{ENV['FLUENTD_SYSTEMD_CONF'] || 'systemd'}.conf"
@include "#{ENV['FLUENTD_PROMETHEUS_CONF'] || 'prometheus'}.conf"
@include kubernetes.conf
@include conf.d/*.conf
<filter kubernetes.var.log.containers.skv-ika-q-frontend-*.log>
@type parser
key_name log
reserve_data yes
format /^(?<remote>[^ ]*) (?<host>[^ ]*) (?<user>[^ ]*) \[(?<time>[^\]]*)\] "(?<method>\S+)(?: +(?<path>[^\"]*?)(?: +\S*)?)?" (?<code>[^ ]*) (?<size>[^ ]*)(?: "(?<referer>[^\"]*)" "(?<agent>[^\"]*)"(?:\s+(?<http_x_forwarded_for>[^ ]+))?)?$/
time_format %d/%b/%Y:%H:%M:%S %z
</filter>
<match **>
@type elasticsearch
@id out_es
@log_level info
include_tag_key true
host "#{ENV['FLUENT_ELASTICSEARCH_HOST']}"
port "#{ENV['FLUENT_ELASTICSEARCH_PORT']}"
path "#{ENV['FLUENT_ELASTICSEARCH_PATH']}"
scheme "#{ENV['FLUENT_ELASTICSEARCH_SCHEME'] || 'http'}"
ssl_verify "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERIFY'] || 'true'}"
ssl_version "#{ENV['FLUENT_ELASTICSEARCH_SSL_VERSION'] || 'TLSv1_2'}"
user "#{ENV['FLUENT_ELASTICSEARCH_USER'] || use_default}"
password "#{ENV['FLUENT_ELASTICSEARCH_PASSWORD'] || use_default}"
reload_connections "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_CONNECTIONS'] || 'false'}"
reconnect_on_error "#{ENV['FLUENT_ELASTICSEARCH_RECONNECT_ON_ERROR'] || 'true'}"
reload_on_failure "#{ENV['FLUENT_ELASTICSEARCH_RELOAD_ON_FAILURE'] || 'true'}"
log_es_400_reason "#{ENV['FLUENT_ELASTICSEARCH_LOG_ES_400_REASON'] || 'false'}"
logstash_prefix "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_PREFIX'] || 'logstash'}"
logstash_dateformat "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_DATEFORMAT'] || '%Y.%m.%d'}"
logstash_format "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_FORMAT'] || 'true'}"
index_name "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_INDEX_NAME'] || 'logstash'}"
type_name "#{ENV['FLUENT_ELASTICSEARCH_LOGSTASH_TYPE_NAME'] || 'fluentd'}"
include_timestamp "#{ENV['FLUENT_ELASTICSEARCH_INCLUDE_TIMESTAMP'] || 'false'}"
template_name "#{ENV['FLUENT_ELASTICSEARCH_TEMPLATE_NAME'] || use_nil}"
template_file "#{ENV['FLUENT_ELASTICSEARCH_TEMPLATE_FILE'] || use_nil}"
template_overwrite "#{ENV['FLUENT_ELASTICSEARCH_TEMPLATE_OVERWRITE'] || use_default}"
sniffer_class_name "#{ENV['FLUENT_SNIFFER_CLASS_NAME'] || 'Fluent::Plugin::ElasticsearchSimpleSniffer'}"
request_timeout "#{ENV['FLUENT_ELASTICSEARCH_REQUEST_TIMEOUT'] || '5s'}"
suppress_type_name "#{ENV['FLUENT_ELASTICSEARCH_SUPPRESS_TYPE_NAME'] || 'true'}"
enable_ilm "#{ENV['FLUENT_ELASTICSEARCH_ENABLE_ILM'] || 'false'}"
ilm_policy_id "#{ENV['FLUENT_ELASTICSEARCH_ILM_POLICY_ID'] || use_default}"
ilm_policy "#{ENV['FLUENT_ELASTICSEARCH_ILM_POLICY'] || use_default}"
ilm_policy_overwrite "#{ENV['FLUENT_ELASTICSEARCH_ILM_POLICY_OVERWRITE'] || 'false'}"
<buffer>
flush_thread_count "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_FLUSH_THREAD_COUNT'] || '8'}"
flush_interval "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_FLUSH_INTERVAL'] || '5s'}"
chunk_limit_size "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_CHUNK_LIMIT_SIZE'] || '2M'}"
queue_limit_length "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_QUEUE_LIMIT_LENGTH'] || '32'}"
retry_max_interval "#{ENV['FLUENT_ELASTICSEARCH_BUFFER_RETRY_MAX_INTERVAL'] || '30'}"
retry_forever true
</buffer>
</match>