Do one thing well. For command-line utilities to do their one thing “well” they must include standardized machine-readable output. Linux and all of its supporting GNU and non-GNU utilities should offer JSON output options.
In this article I give a quick snapshot of what it’s like to work with JSON in various traditional and next generation shells. Traditional shells like Bash and Windows Command Prompt (cmd.exe) don’t have built-in JSON support and require 3rd party utilities. Newer shells like NGS, Nushell, Oil, Elvish, Murex, and PowerShell have JSON serialization/deserialization and filtering capabilities built-in for a cleaner experience.
Effectively use JSON data at the command line with jc, jq, and Bash. This article provides practical examples of how to improve your scripts with JSON.
In this multi-part blog series, I will describe some microservice security design patterns to implement micro-segmentation and deep inspection in the interior of your Kubernetes cluster to further secure your microservice applications, not just the cluster. I will also demonstrate the design patterns with working Proof of Concept deployments that you can use as a starting point.
jello works similarly to jq but uses the python interpreter, so you can iterate with loops, comprehensions, variables, expressions, etc. just like you would in a full-fledged python script.
jtbl is simple and elegant. It just takes in piped JSON or JSON Lines data and prints a table. There’s only one option to turn on column truncation vs. wrapping columns if the terminal width is too narrow to display the complete table. It ‘does the right thing’.
In this article I give a quick snapshot of what it's like to work with JSON in various traditional and next generation shells. Traditional shells like Bash and Windows Command …
There are lots of people interested in converting their git logs into beautiful JSON or JSON Lines for archive and analytics. It seems like it should be easy enough, but …
Effectively use JSON data at the command line with jc, jello, and Bash. This article provides practical examples of how to improve your scripts with JSON.
Effectively use JSON data at the command line with jc, jq, and Bash. This article provides practical examples of how to improve your scripts with JSON.
Python has great exception-handling with nice traceback messages that can help debug issues with your code. Here's an example of a typical traceback message: Traceback (most recent call last): File …
jello works similarly to jq but uses the python interpreter, so you can iterate with loops, comprehensions, variables, expressions, etc. just like you would in a full-fledged python script.
jtbl is simple and elegant. It just takes in piped JSON or JSON Lines data and prints a table. There's only one option to turn on column truncation vs. wrapping …
We can apply concepts from application architecture (SOA and Microservices) to more effectively build automation into our cybersecurity stacks. Orchestration and Choreography both have important roles to play.
A friend of mine pointed me to a twitter thread on how to explain Kubernetes to a five year old. Since I have a two year old, this immediately popped …
In this post we’ll configure a Security Sidecar Pattern which will provide application level protection and micro-segmentation within the Kubernetes cluster.
As we begin a new decade I thought it would be cool to see how the tools of the trade for pre-sales Systems Engineers in the network security field have …
In this post we will take an insecure deployment and implement a Security Service Layer Pattern to block application layer attacks and enforce strict segmentation between services.
In this post we will set the groundwork to deep dive into the Security Service Layer Pattern with a live insecure deployment on Google Kubernetes Engine (GKE). By the end …
