![]() Chamber is in fact a secret management tool built at Segment and open sourced. In this example you can see that along with Fleet and FleetCTL we are also installing a Binary called ‘Chamber’. Here is an example of what the image can look like. Fleet App DeploymentĪt Segment we have a standardized central repo for all our Docker images. Make sure to add a CNAME record to connect your newly registered domain with your ALB created in the step above in order to successfully enable the ingress/egress traffic on the Fleet cluster. If you want to host Fleet on a custom Domain you have the option to get your domain registered and set up the Route53 Hosted Zone. Resource "aws_elasticache_replication_group" "example" Optional: A custom Domain and Route53 Hosted Zone Here is how you can create a basic MySQL DB with a few lines of code using Terraform: The standard approach on setting this up in the AWS ecosystem is to set up a MySQL database in RDS and set up a Redis Cluster in AWS Elasticache. ![]() Ideally we’d want to create a VPC with a public and private subnet. Creating a VPC is an essential first step because every object we create in the subsequent steps will be a part of this VPC. We can define our own network space, and control how our network and the resources inside it interact with each other. ![]() Create a VPCĪmazon enables us to build a virtual network in the AWS cloud. For the purpose of this guide we are going to show a bare-bones minimal configuration for each piece of infrastructure that you can elaborate on using a variety of additional terraform modules as you see fit for your environment. You will be able to reuse some components and settings as-is but not all of them. Note that the configurations below aren't copy-pastable. That’s because at Segment our wonderful Tooling team has abstracted away a lot of commonly used infrastructure modules such that we have many default standard settings applied to our infrastructure in terms of setting up the relevant Security Groups and more. In this post I will be able to share some of those configurations but not all. We set up both these pieces of infrastructure using Terraform. This post will show you how to host Fleet on an EKS cluster and send scheduled query logs to an AWS Opensource destination entirely created and managed as code.įleet has two major infrastructure dependencies - a MySQL Database and a Redis Cache. At Segment, we decided to host it entirely as code on an EKS cluster, which is a new Amazon Web Services offering that makes it easy to run Kubernetes at scale. ![]() There are many ways of hosting Fleet in your environment. Once the device/s running Osquery on them are enrolled, Fleet enables us to run queries through the Osquery agent across 100,000+ servers, containers, and laptops at scale. This functionality is very powerful in order to be able to quickly get data about a host’s activity during a security investigation or pro-actively run queries on it at a regular interval that lets security teams monitor for malicious activities on a host.įleet is the most commonly used open-source Osquery manager across Security and Compliance teams in the world. It runs as a simple agent and it supports OSx, Windows or any of the Linux operating systems. Osquery exposes an operating system as a high-performance relational database that allows you to write SQL-based queries to explore operating system data. At Segment our tools of choice for Endpoint monitoring are Osquery paired with Fleet for orchestration. Then you have to import the repository signing keys by executing the following command: sudo apt-key adv -keyserver Monitoring and visibility is an essential building block for the success of any Detection & Response team. To do this you can use the following command: echo "deb deb main" | sudo tee /etc/apt//osquery.list Recommended Article: How to upgrade to Ubuntu 20.04 LTS from Ubuntu 18.04 or later Install Osquery on Ubuntu 20.04 | Ubuntu 18.04Īs the Osquery packages are not in the Ubuntu default repository, you must add the Osquery apt repository before installation.
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