Cloudwatchlogsbeat
Cloudwatchlogsbeat is a beat
for the elastic stack. Its purpose
is to harvest data from AWS Cloudwatch Log Groups and ship them to a
variety of sinks that include logstash, elasticsearch etc. The beat is
production-tested and is currently being used to harvest some
thousands of stream events per minute.
Description
Cloudwatchlogsbeat operates by monitoring a set of AWS Cloudwatch Log
Groups specified in its configuration,
which also defines a set of configuration values that influence the
beat's operational behaviour. In general, the log groups are
periodically probed for new streams which are then polled for new
events.
The state of the beat is saved in a user-specified S3 bucket on a
per-stream basis. This way, the beat knows what is the last event that
was harvested per stream and can resume its operation once restarted.
The beat is fully concurrent in terms of the monitored log groups and
streams and makes use of AWS SDK's exponential back-off retry policy
for all its requests to the AWS APIs. However, the beat's operation is
subject to AWS limitations and throttling policies which are
summarized
here.
Throttling errors are dealt with gracefully without losing stream
events (stream monitoring is resumed from where it left off) and can
be mitigated to some degree by tuning the beat's configuration with
respect to the various refresh frequencies. The beat also defines two
kinds of streams, frequently updated (aka hot) and standard, which can
be configured differently to further control/reduce the rate of AWS
API requests.
Setup / Installation
First of all, make sure that you have
a working go installation (this
includes a valid $GOPATH
).
The following steps are necessary for a working installation:
$ go get -u github.com/e-travel/cloudwatchlogsbeat
$ cd $GOPATH/src/github.com/e-travel/cloudwatchlogsbeat
$ go build -i # builds the beat and builds/installs the dependencies
$ ./cloudwatchlogsbeat -e -d '*'
AWS configuration
Cloudwatchlogsbeat authenticates with AWS services using
the
standard AWS guidelines. This
means that the following environmental variables need to be set for
the program to use:
AWS_ACCESS_KEY_ID
AWS_SECRET_ACCESS_KEY
Alternatively, if there are profiles setup in the file
~/.aws/credentials
, the following environmental variables are
necessary:
AWS_PROFILE
The AWS region must be set in the beat's configuration file.
If the beat is deployed to an EC2 instance, there's also the option of
an IAM Role that is attached to the EC2 instance. In this case, the
actions that must be allowed in the IAM policy document are as
follows:
logs:GetLogEvents
logs:FilterLogEvents
logs:Describe*
plus permissions to the S3 bucket resource:
s3:GetObject
s3:ListBucket
s3:HeadObject
s3:PutObject
Tests
The beat's tests can be executed as follows:
$ go test -v -cover ./...
The test coverage report can be generated by adding the
-coverprofile=coverage.out
switch to the above command. The
generated coverage.out
file can be then viewed using:
$ go tool cover -html=coverage.out
Docker
Here are steps to build and push a Docker version
docker build -t e-travel/cloudwatchlogsbeat .
docker push e-travel/cloudwatchlogsbeat
Contributing
Bug reports and pull requests are welcome on GitHub at
https://github.com/e-travel/cloudwatchlogsbeat. This project is
intended to be a safe, welcoming space for collaboration, and
contributors are expected to adhere to
the Contributor Covenant code of
conduct.
License
The beat is available as open source under the terms of
the MIT License.