Amazon S3
Send logs, data, metrics to Amazon S3
The Amazon S3 output plugin allows you to ingest your records into the S3 cloud object store.
The plugin can upload data to S3 using the multipart upload API or using S3 PutObject. Multipart is the default and is recommended; Calyptia Fluent Bit will stream data in a series of 'parts'. This limits the amount of data it has to buffer on disk at any point in time. By default, every time 5 MiB of data have been received, a new 'part' will be uploaded. The plugin can create files up to gigabytes in size from many small chunks/parts using the multipart API. All aspects of the upload process are configurable using the configuration options.
The plugin allows you to specify a maximum file size, and a timeout for uploads. A file will be created in S3 when the max size is reached, or the timeout is reached- whichever comes first.
Records are stored in files in S3 as newline delimited JSON.
See here for details on how AWS credentials are fetched.
NOTE: The Prometheus success/retry/error metrics values outputted by Calyptia Fluent Bit's built-in http server are meaningless for the S3 output. This is because S3 has its own buffering and retry mechanisms. The Calyptia Fluent Bit AWS S3 maintainers apologize for this feature gap; you can track our progress fixing it on GitHub.
Configuration Parameters
| Key | Description | Default |
|---|---|---|
region | The AWS region of your S3 bucket | us-east-1 |
bucket | S3 Bucket name | None |
json_date_key | Specify the name of the time key in the output record. To disable the time key just set the value to | date |
json_date_format | Specify the format of the date. Supported formats are double, epoch, iso8601 (eg: 2018-05-30T09:39:52.000681Z) and java_sql_timestamp (eg: 2018-05-30 09:39:52.000681) | iso8601 |
total_file_size | Specifies the size of files in S3. Minimum size is 1M. With | 100M |
upload_chunk_size | The size of each 'part' for multipart uploads. Max: 50M | 5,242,880 bytes |
upload_timeout | Whenever this amount of time has elapsed, Calyptia Fluent Bit will complete an upload and create a new file in S3. For example, set this value to 60m and you will get a new file every hour. | 10m |
store_dir | Directory to locally buffer data before sending. When multipart uploads are used, data will only be buffered until the | /tmp/fluent-bit/s3 |
store_dir_limit_size | The size of the limitation for disk usage in S3. Limit the amount of s3 buffers in the | 0, which means unlimited |
s3_key_format | Format string for keys in S3. This option supports a UUID, strftime time formatters, a syntax for selecting parts of the Calyptia Fluent log tag using a syntax inspired by the rewrite_tag filter. Add $UUID in the format string to insert a random string. Add $INDEX in the format string to insert an integer that increments each upload. The $INDEX value will be saved in the store_dir so that if Calyptia Fluent Bit restarts the value will keep incrementing from the previous run. Add $TAG in the format string to insert the full log tag; add $TAG[0] to insert the first part of the tag in the s3 key. The tag is split into “parts” using the characters specified with the | /calyptia-fluent-bit-logs/$TAG/%Y/%m/%d/%H/%M/%S |
s3_key_format_tag_delimiters | A series of characters which will be used to split the tag into 'parts' for use with the s3_key_format option. See the in depth examples and tutorial in the documentation. | . |
static_file_path | Disables behavior where UUID string is automatically appended to end of S3 key name when $UUID is not provided in s3_key_format. $UUID, time formatters, $TAG, and other dynamic key formatters all work as expected while this feature is set to true. | false |
use_put_object | Use the S3 PutObject API, instead of the multipart upload API. When this option is on, key extension is only available when $UUID is specified in | false |
role_arn | ARN of an IAM role to assume (ex. for cross account access). | None |
endpoint | Custom endpoint for the S3 API. An endpoint can contain scheme and port. | None |
sts_endpoint | Custom endpoint for the STS API. | None |
canned_acl | Predefined Canned ACL policy for S3 objects. | None |
compression | Compression type for S3 objects. 'gzip' is currently the only supported value by default. If Apache Arrow support was enabled at compile time, you can also use 'arrow'. For gzip compression, the Content-Encoding HTTP Header will be set to 'gzip'. Gzip compression can be enabled when | None |
content_type | A standard MIME type for the S3 object; this will be set as the Content-Type HTTP header. | None |
send_content_md5 | Send the Content-MD5 header with PutObject and UploadPart requests, as is required when Object Lock is enabled. | false |
auto_retry_requests | Immediately retry failed requests to AWS services once. This option does not affect the normal Calyptia Fluent Bit retry mechanism with backoff. Instead, it enables an immediate retry with no delay for networking errors, which may help improve throughput when there are transient/random networking issues. | true |
log_key | By default, the whole log record will be sent to S3. If you specify a key name with this option, then only the value of that key will be sent to S3. For example, if you are using Docker, you can specify log_key log and only the log message will be sent to S3. | None |
preserve_data_ordering | Normally, when an upload request fails, there is a high chance for the last received chunk to be swapped with a later chunk, resulting in data shuffling. This feature prevents this shuffling by using a queue logic for uploads. | true |
storage_class | Specify the storage class for S3 objects. If this option is not specified, objects will be stored with the default 'STANDARD' storage class. | None |
retry_limit | Integer value to set the maximum number of retries allowed. Note: this configuration is released since version 1.9.10 and 2.0.1. For previous version, the number of retries is 5 and is not configurable. | 1 |
external_id | Specify an external ID for the STS API, can be used with the role_arn parameter if your role requires an external ID. | None |
TLS / SSL
To skip TLS verification, set tls.verify as false. For more details about the properties available and general configuration, please refer to the TLS/SSL section.
Permissions
The plugin requires the following AWS IAM permissions:
Differences between S3 and other Calyptia Fluent Bit outputs
The s3 output plugin is special because its use case is to upload files of non-trivial size to an Amazon S3 bucket. This is in contrast to most other outputs which send many requests to upload data in batches of a few Megabytes or less.
When Calyptia Fluent Bit recieves logs, it stores them in chunks, either in memory or the filesystem depending on your settings. A chunk is usually around 2 MB in size. Calyptia Fluent Bit sends the chunks in order to each output that matches their tag. Most outputs then send the chunk immediately to their destination. A chunk is sent to the output's "flush callback function", which must return one of FLB_OK, FLB_RETRY, or FLB_ERROR. Calyptia Fluent Bit keeps count of the return values from each outputs "flush callback function"; these counters are the data source for Calyptia Fluent Bit's error, retry, and success metrics available in prometheus format via its monitoring interface.
The S3 output plugin is a Fluent Bit output plugin and thus it conforms to the Calyptia Fluent Bit output plugin specification. However, since the S3 use case is to upload large files, generally much larger than 2 MB, its behavior is different. The S3 "flush callback function" simply buffers the incoming chunk to the filesystem, and returns an FLB_OK. Consequently, the prometheus metrics available via the Calyptia Fluent Bit http server are meaningless for S3. In addition, the storage.total_limit_size parameter is not meaningful for S3 since it has its own buffering system in the store_dir. Instead, use store_dir_limit_size. Finally, S3 always requires a write-able filesystem; running Calyptia Fluent Bit on a read-only filesystem will not work with the S3 output.
S3 uploads are primarily initiated via the S3 "timer callback function", which runs separately from its "flush callback function". Because S3 has its own system of buffering and its own callback to upload data, the normal sequential data ordering of chunks provided by the Calyptia Fluent Bit engine may be compromised. Consequently, S3 has the presevere_data_ordering option which will ensure data is uploaded in the original order it was collected by Calyptia Fluent Bit.
Summary: Uniqueness in S3 Plugin
The HTTP Monitoring interface output metrics are not meaningful for S3: AWS understands that this is non-ideal; we have opened an issue with a design that will allow S3 to manage its own output metrics.
You must use
store_dir_limit_sizeto limit the space on disk used by S3 buffer files.The original ordering of data inputted to Calyptia Fluent Bit may not be preserved unless you enable
preserve_data_ordering On.
S3 Key Format and Tag Delimiters
In Calyptia Fluent Bit, all logs have an associated tag. The s3_key_format option lets you inject the tag into the s3 key using the following syntax:
$TAG=> the full tag$TAG[n]=> the nth part of the tag (index starting at zero). This syntax is copied from the rewrite tag filter. By default, “parts” of the tag are separated with dots, but you can change this withs3_key_format_tag_delimiters.
In the example below, assume the date is January 1st, 2020 00:00:00 and the tag associated with the logs in question is my_app_name-logs.prod.
With the delimiters as . and -, the tag will be split into parts as follows:
$TAG[0]= my_app_name$TAG[1]= logs$TAG[2]= prod
So the key in S3 will be /prod/my_app_name/2020/01/01/00/00/00/bgdHN1NM.gz.
Allowing a file extension in the S3 Key Format with $UUID
The Calyptia Fluent Bit S3 output was designed to ensure that previous uploads will never be over-written by a subsequent upload. Consequently, the s3_key_format supports time formatters, $UUID, and $INDEX. $INDEX is special because it is saved in the store_dir; if you restart Calyptia Fluent Bit with the same disk, then it can continue incrementing the index from its last value in the previous run.
For files uploaded with the PutObject API, the S3 output requires that a unique random string be present in the S3 key. This is because many of the use cases for PutObject uploads involve a short time period between uploads such that a timestamp in the S3 key may not be unique enough between uploads. For example, if you only specify minute granularity timestamps in the S3 key, with a small upload size, it is possible to have two uploads that have timestamps set in the same minute. This "requirement" can be disabled with static_file_path On.
There are three cases where the PutObject API is used:
When you explicitly set
use_put_object OnOn startup when the S3 output finds old buffer files in the
store_dirfrom a previous run and attempts to send all of them at once.On shutdown, when to prevent data loss the S3 output attempts to send all currently buffered data at once.
Consequently, you should always specify $UUID somewhere in your S3 key format. Otherwise, if the PutObject API is used, S3 will append a random 8 character UUID to the end of your S3 key. This means that a file extension set at the end of an S3 key will have the random UUID appended to it. This behavior can be disabled with static_file_path On.
Let's walk through this via an example. First case, we attempt to set a .gz extension without specifying $UUID.
In the case where pending data is uploaded on shutdown, if the tag was app, the S3 key in the S3 bucket might be:
The S3 output appended a random string to the "extension", since this upload on shutdown used the PutObject API.
There are two ways of disabling this behavior. Option 1, use static_file_path:
Option 2, explicitly define where the random UUID will go in the S3 key format:
Reliability
The store_dir is used to temporarily store data before it is uploaded. If Calyptia Fluent Bit is stopped suddenly it will try to send all data and complete all uploads before it shuts down. If it can not send some data, on restart it will look in the store_dir for existing data and will try to send it.
Multipart uploads are ideal for most use cases because they allow the plugin to upload data in small chunks over time. For example, 1 GB file can be created from 200 5MB chunks. While the file size in S3 will be 1 GB, only 5 MB will be buffered on disk at any one point in time.
There is one minor drawback to multipart uploads- the file and data will not be visible in S3 until the upload is completed with a CompleteMultipartUpload call. The plugin will attempt to make this call whenever Calyptia Fluent Bit is shut down to ensure your data is available in s3. It will also store metadata about each upload in the store_dir, ensuring that uploads can be completed when Calyptia Fluent Bit restarts (assuming it has access to persistent disk and the store_dir files will still be present on restart).
Using S3 without persisted disk
If you run Calyptia Fluent Bit in an environment without persistent disk, or without the ability to restart Calyptia Fluent Bit and give it access to the data stored in the store_dir from previous executions- some considerations apply. This might occur if you run Calyptia Fluent Bit on AWS Fargate.
In these situations, we recommend using the PutObject API, and sending data frequently, to avoid local buffering as much as possible. This will limit data loss in the event Calyptia Calyptia Fluent Bit is killed unexpectedly.
The following settings are recommended for this use case:
Worker support
Calyptia Fluent Bit 22.4.1 adds a new feature called workers which enables outputs to have dedicated threads. This s3 plugin has partial support for workers. The plugin can only support a single worker; enabling multiple workers will lead to errors/indeterminate behavior.
Example:
If you enable a single worker, you are enabling a dedicated thread for your S3 output. We recommend starting without workers, evaluating the performance, and then enabling a worker if needed. For most users, the plugin can provide sufficient throughput without workers.
Usage with MinIO
MinIO is a high-performance, S3 compatible object storage and you can build your app with S3 functionality without S3.
Assume you run a MinIO server at localhost:9000, and create a bucket of your-bucket by referring the client docs.
Example:
Then, the records will be stored into the MinIO server.
Getting Started
In order to send records into Amazon S3, you can run the plugin from the command line or through the configuration file.
Command Line
The s3 plugin, can read the parameters from the command line through the -p argument (property), e.g:
Configuration File
In your main configuration file append the following Output section:
An example that using PutObject instead of multipart:
AWS for Fluent Bit
Amazon distributes a container image with Fluent Bit and this plugins.
GitHub
github.com/aws/aws-for-fluent-bit
Amazon ECR Public Gallery
Our images are available in Amazon ECR Public Gallery. You can download images with different tags by following command:
For example, you can pull the image with latest version by:
If you see errors for image pull limits, try log into public ECR with your AWS credentials:
You can check the Amazon ECR Public official doc for more details.
Docker Hub
Amazon ECR
You can use our SSM Public Parameters to find the Amazon ECR image URI in your region:
For more see the AWS for Fluent Bit github repo.
Advanced usage
Use Apache Arrow for in-memory data processing
Starting from Fluent Bit v1.8, the Amazon S3 plugin includes the support for Apache Arrow. The support is currently not enabled by default, as it depends on a shared version of libarrow as the prerequisite.
To use this feature, FLB_ARROW must be turned on at compile time:
Once compiled, Fluent Bit can upload incoming data to S3 in Apache Arrow format. For example:
As shown in this example, setting Compression to arrow makes Fluent Bit to convert payload into Apache Arrow format.
The stored data is very easy to load, analyze and process using popular data processing tools (such as Python pandas, Apache Spark and Tensorflow). The following code uses pyarrow to analyze the uploaded data:
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