Over the past couple of weeks, I started thinking a bit more about adding resiliency to my personal projects and accounts.

In a previous post (“Automated Github Backups with ECS and S3”) I started by taking a look at how to back up my Github data. In this blog post, instead, I’m going to focus on GDrive, since it is where I store the majority of my personal data.

Over the past couple of weeks, I started thinking a bit more about adding resiliency to my personal projects and accounts. You can follow my entire thought process on Twitter (see the embedded Tweet below), but in this blog post I’m going to focus on Github.

Following AWS, the second most critical service for my projects is Github: 90% of my code is stored there (mostly in private projects), and I have to admit I never took a backup of this data.

So I finally decided to set some time aside to set up an automated process to backup my Github account, and I ended up relying on ECS (Fargate) and S3 Glacier. This blog explains the architecture and implications of the final setup I decided to go with.

Congratulations! You have been tasked with establishing a cloud security strategy. Now what?

In this post, I’m going to walk through actionable advice that can be undertaken to establish a cloud security program aimed at protecting a cloud native, service provider agnostic, container-based, offering.

In “Mapping Moving Clouds: How to stay on top of your ephemeral environments with Cartography” I described the process I undertook to deploy Cartography in a multi-cloud environment, from inception to self-service dashboards for data consumption.

Now, I’m going to open source an automated process to get Neo4J and Cartography up and running in a Kubernetes cluster, using HashiCorp Vault as a secrets management engine.

In “Deploy Your Own Kubernetes Lab” I covered multiple deployment options for a Kubernetes lab, ranging from more lightweight (like running Kubernetes locally) to more realistic ones (like deploying a multi-node cluster) suitable for security research.

In this blog post, I’m going to detail the steps I took to deploy my own Kubernetes Lab on baremetal, and on an Intel NUC in particular.