This is a plugin for Logstash. It is fully free and fully open source. The license is Apache 2.0, meaning you are pretty much free to use it however you want in whatever way. All logstash plugin documentation are placed under one central location. Need generic logstash help? Try #logstash on freenode IRC or the https://discuss.elastic.co/c/logstash discussion forum.
For problems or feature requests with this specific plugin, raise a github issue GITHUB/janmg/logstash-input-azure_blob_storage/. Pull requests will also be welcomed after discussion through an issue.
This plugin can read from Azure Storage Blobs, for instance JSON diagnostics logs for NSG flow logs or LINE based accesslogs from App Services. Azure Blob Storage
The plugin depends on the Ruby library azure-storage-blon from Microsoft, that depends on Faraday for the HTTPS connection to Azure.
The plugin executes the following steps
- Lists all the files in the azure storage account. where the path of the files are matching pathprefix
- Filters on path_filters to only include files that match the directory and file glob (e.g. **/*.json)
- Save the listed files in a registry of known files and filesizes. (data/registry.dat on azure, or in a file on the logstash instance)
- List all the files again and compare the registry with the new filelist and put the delta in a worklist
- Process the worklist and put all events in the logstash queue.
- if there is time left, sleep to complete the interval. If processing takes more than an inteval, save the registry and continue processing.
- If logstash is stopped, a stop signal will try to finish the current file, save the registry and than quit
This plugin can be installed through logstash-plugin
/usr/share/logstash/bin/logstash-plugin install logstash-input-azure_blob_storage
The minimum configuration required as input is storageaccount, access_key and container.
/etc/logstash/conf.d/test.conf
input {
azure_blob_storage {
storageaccount => "yourstorageaccountname"
access_key => "Ba5e64c0d3=="
container => "insights-logs-networksecuritygroupflowevent"
}
}
The registry keeps track of files in the storage account, their size and how many bytes have been processed. Files can grow and the added part will be processed as a partial file. The registry is saved todisk every interval.
The registry_create_policy determines at the start of the pipeline if processing should resume from the last known unprocessed file, or to start_fresh ignoring old files and start only processing new events that came after the start of the pipeline. Or start_over to process all the files ignoring the registry.
interval defines the minimum time the registry should be saved to the registry file (by default to 'data/registry.dat'), this is only needed in case the pipeline dies unexpectedly. During a normal shutdown the registry is also saved.
When registry_local_path is set to a directory, the registry is saved on the logstash server in that directory. The filename is the pipe.id
with registry_create_policy set to resume and the registry_local_path set to a directory where the registry isn't yet created, should load the registry from the storage account and save the registry on the local server. This allows for a migration to localstorage
For pipelines that use the JSON codec or the JSON_LINE codec, the plugin uses one file to learn how the JSON header and tail look like, they can also be configured manually. Using skip_learning the learning can be disabled.
The pipeline can be started in several ways.
- On the commandline
/usr/share/logstash/bin/logtash -f /etc/logstash/conf.d/test.conf - In the pipeline.yml
/etc/logstash/pipeline.yml pipe.id = test pipe.path = /etc/logstash/conf.d/test.conf - As managed pipeline from Kibana
Logstash itself (so not specific to this plugin) has a feature where multiple instances can run on the same system. The default TCP port is 9600, but if it's already in use it will use 9601 (and up). To update a config file on a running instance on the commandline you can add the argument --config.reload.automatic and if you modify the files that are in the pipeline.yml you can send a SIGHUP channel to reload the pipelines where the config was changed. https://www.elastic.co/guide/en/logstash/current/reloading-config.html
When the plugin is started, it will read all the filenames and sizes in the blob store excluding the directies of files that are excluded by the "path_filters". After every interval it will write a registry to the storageaccount to save the information of how many bytes per blob (file) are read and processed. After all files are processed and at least one interval has passed a new file list is generated and a worklist is constructed that will be processed. When a file has already been processed before, partial files are read from the offset to the filesize at the time of the file listing. If the codec is JSON partial files will be have the header and tail will be added. They can be configured. If logtype is nsgflowlog, the plugin will process the splitting into individual tuple events. The logtype wadiis may in the future be used to process the grok formats to split into log lines. Any other format is fed into the queue as one event per file or partial file. It's then up to the filter to split and mutate the file format.
By default the root of the json message is named "message" so you can modify the content in the filter block
The configurations and the rest of the code are in https://github.com/janmg/logstash-input-azure_blob_storage/tree/master/lib/logstash/inputs https://github.com/janmg/logstash-input-azure_blob_storage/blob/master/lib/logstash/inputs/azure_blob_storage.rb#L10
- Enable Network Watcher in your regions
- Create Storage account per region v1 or v2 are both fine Any resource group works fine, NetworkWatcherRG would be the best
- Enable in Network Watcher for every NSG the NSG Flow logs the list_blobs has a limit of 5000 files, with one file per hour per nsg make sure the retention time is set so that all files can be seen. for 180 NSG's with 1 day retention is 4320 files, more retention leads to delays in processing. So either use multiple storage accounts with multiple pipelines, or use the same storage account with a prefix to separate.
- In storage account there will be a/ container / resourceID {storageaccount}.blob.core.windows.net/insights-logs-networksecuritygroupflowevent/resourceId=/SUBSCRIPTIONS/{UUID}/RESOURCEGROUPS/{RG}/PROVIDERS/MICROSOFT.NETWORK/NETWORKSECURITYGROUPS/{NSG}/y=2019/m=02/d=12/h=07/m=00/macAddress={MAC}/PT1H.json
- Get credentials of the storageaccount
- SAS token (shared access signature) starts with a '?'
- connection string ... one string with all the connection details
- Access key (key1 or key2)
The default loglevel can be changed in global logstash.yml. On the info level, the plugin save offsets to the registry every interval and will log statistics of processed events (one ) plugin will print for each pipeline the first 6 characters of the ID, in DEBUG the yml log level debug shows details of number of events per (partial) files that are read.
log.level
The log level of the plugin can be put into DEBUG through
curl -XPUT 'localhost:9600/_node/logging?pretty' -H 'Content-Type: application/json' -d'{"logger.logstash.inputs.azureblobstorage" : "DEBUG"}'
Because logstash debug makes logstash very chatty, the option debug_until will for a number of processed events and stops debuging. One file can easily contain thousands of events. The debug_until is useful to monitor the start of the plugin and the processing of the first files.
debug_timer will show detailed information on how much time listing of files took and how long the plugin will sleep to fill the interval and the listing and processing starts again.
For nsgflowlogs, a simple configuration looks like this
input {
azure_blob_storage {
storageaccount => "yourstorageaccountname"
access_key => "Ba5e64c0d3=="
container => "insights-logs-networksecuritygroupflowevent"
}
}
filter {
json {
source => "message"
}
mutate {
add_field => { "environment" => "test-env" }
remove_field => [ "message" ]
}
date {
match => ["unixtimestamp", "UNIX"]
}
}
output {
stdout { }
}
output {
elasticsearch {
hosts => "elasticsearch"
index => "nsg-flow-logs-%{+xxxx.ww}"
}
}
A more elaborate input configuration example
input {
azure_blob_storage {
codec => "json"
storageaccount => "yourstorageaccountname"
access_key => "Ba5e64c0d3=="
container => "insights-logs-networksecuritygroupflowevent"
logtype => "nsgflowlog"
prefix => "resourceId=/"
path_filters => ['**/*.json']
addfilename => true
registry_create_policy => "resume"
registry_local_path => "/usr/share/logstash/plugin"
interval => 300
debug_timer => true
debug_until => 100
}
}
output {
elasticsearch {
hosts => "elasticsearch"
index => "nsg-flow-logs-%{+xxxx.ww}"
}
}
The configuration documentation is in the first 100 lines of the code GITHUB/janmg/logstash-input-azure_blob_storage/blob/master/lib/logstash/inputs/azure_blob_storage.rb
For WAD IIS and App Services the HTTP AccessLogs can be retrieved from a storage account as line based events and parsed through GROK. The date stamp can also be parsed with %{TIMESTAMP_ISO8601:log_timestamp}. For WAD IIS logfiles the container is wad-iis-logfiles. In the future grokking may happen already by the plugin.
input {
azure_blob_storage {
storageaccount => "yourstorageaccountname"
access_key => "Ba5e64c0d3=="
container => "access-logs"
interval => 300
codec => line
}
}
filter {
if [message] =~ "^#" {
drop {}
}
mutate {
strip => "message"
}
grok {
match => ['message', '(?<timestamp>%{YEAR}-%{MONTHNUM}-%{MONTHDAY} %{HOUR}:%{MINUTE}:%{SECOND}\d+) %{NOTSPACE:instanceId} %{WORD:httpMethod} %{URIPATH:requestUri} %{NOTSPACE:requestQuery} %{NUMBER:port} %{NOTSPACE:username} %{IPORHOST:clientIP} %{NOTSPACE:userAgent} %{NOTSPACE:cookie} %{NOTSPACE:referer} %{NOTSPACE:host} %{NUMBER:httpStatus} %{NUMBER:subresponse} %{NUMBER:win32response} %{NUMBER:sentBytes:int} %{NUMBER:receivedBytes:int} %{NUMBER:timeTaken:int}']
}
date {
match => [ "timestamp", "YYYY-MM-dd HH:mm:ss" ]
target => "@timestamp"
}
mutate {
remove_field => ["log_timestamp"]
remove_field => ["message"]
remove_field => ["win32response"]
remove_field => ["subresponse"]
remove_field => ["username"]
remove_field => ["clientPort"]
remove_field => ["port"]:0
remove_field => ["timestamp"]
}
}