#Filebeats with kinesis install#
#Filebeats with kinesis update#
#Filebeats with kinesis code#

How do we plug in the currently deployed Lambda functions? We can control a fallback mechanism to CloudWatch logs in case of a disaster, and we don’t need to redeploy all the Lambdas. This is how we avoid being tightly-coupled to the logging system (only the specific Lambda will need to be changed and deployed). We initiated a Kinesis Stream, which is a generic process that anyone with AWS SDK and appropriate AuthZ can access and send logs in a specific format.Įach application/Lambda should send the logs to the Kinesis Stream (this would be deployed per AWS account per region) - there will be a Lambda that is triggered by the Kinesis Stream, and this Lambda will send the logs to the logging system.

#Filebeats with kinesis code#

Also, if for some reason we deploy a service which is not AWS specific, then it would be harder to create CloudWatch logs just for the sake of the logs being processed into the logging system.įor the final solution, we chose to have a segregation between our code and the logging system specifics. At least here we will not be tightly-coupled to the logging system, but we do force a redundant cost because we save the CloudWatch logs + logging system logs. Use AWS CloudWatch triggers - We can force each Lambda to fire logs to CloudWatch and collect logs from there using a trigger to a Lambda.

#Filebeats with kinesis update#

When we have a change (not necessarily changing the logging system itself, but perhaps they upgraded their agent or changed something in the way they work), we will need to iterate again over all our Lambda functions and update them. But here we encounter another problem of being tightly-coupled to our logging system - which means that our code actually understands the fact that we chose a very specific logging system. Use logging-system agents - Some of the systems have their own agents, which take control over the stdout/stderr of the process and send them to the logging system. Also, since we are not language-agnostic, for each runtime we would need to write some code to process the logs and then send them to our centralized logging system This would require going over all the different existing Lambdas and changing the code, redeploying, and testing.

When we have several dozens of Lambda functions, we need to solve the problem in a generic way to reduce the amount of work and migration required by the developers who work with FaaS technology on a daily basis.Ĭode-wise solution - We can create a wrapper/library that any FaaS dev can use. Most of the logging systems have very convenient methods of sending logs, including Filebeat/Metricbeat, agents, APIs, etc. In addition, we use the logging system’s alert mechanism to trigger and send alerts to various sources, including email, Slack channels, etc.

#Filebeats with kinesis install#

In order to ship Zeek logs to Coralogix, we need to first install Filebeat.Our current centralized logging solution is Logz.io: Cloud Observability for Engineers and most of our application logs are sent there from the k8s cluster. If you haven’t already, you can follow our documentation here: Installationįirst, enable the Filebeat module for Zeek: filebeat modules enable zeek Configuration #Filebeats dhcp logs install# Usually this file is located in /etc/filebeat/modules.d/ You need to configure the Zeek module file zeek.yml.