In this article, learn how to set time, timezone, and synchronize your Linux system clock with NTP using timedatectl, systemd-timesyncd, and chrony. The ‘timedatectl‘ command is a utility for RHEL-based and Debian-based distributions, and it is a part of the ‘systemd‘ system and service manager, serving as a replacement for the old traditional date command used in ‘sysvinit‘ daemon-based Linux distributions. The timedatectl command allows you to query and change the configuration of the system clock and its settings, you can use this command to set or change the current date, time, and timezone, or enable automatic system clock synchronization…
Author: drweb
Jamf security researchers said state-sponsored espionage actors are using malicious VS Code projects to steal information.
In this article, we show you how to encrypt files with GPG in Linux, generate key pairs, share encrypted files securely, and decrypt them. In computing, encryption is a popular and most often the recommended technique of hiding information in a secretive format. GnuPG is one of the useful tools for encrypting information (files) on Linux systems. GnuPG (also known as GNU Privacy Guard or simply GPG) is GNU’s tool used to encrypt data and create digital signatures that contribute to overall information security. It is a complete and free implementation of the OpenPGP Internet standard that provides an advanced…
Model Context Protocol (MCP) servers are a spec for exposing tools, models, or services to language models through a common interface. Think of them as smart adapters: they sit between a tool and the LLM, speaking a predictable protocol that lets the model interact with things like APIs, databases, and agents without needing to know implementation details. But like most good ideas, the devil’s in the details. The Promise—and the Problems of Running MCP Servers Running an MCP sounds simple: spin up a Python or Node server that exposes your tool. Done, right? Not quite. You run into problems fast:…
Legit Security this week added a threat feed that DevSecOps teams can use to instantly determine if a newly discovered vulnerability impacts their software supply chain. Built using the Legit VibeGuard tool, the threat feed added to the company’s application security posture management (ASPM) platform also enables DevSecOps teams to take advantage of “vibecoding” techniques […]
Redgate recently released SQL Compare v16, which included a new feature to work with Redgate Data Modeler. I decided to give it a try in this post. I’ll take a model and compare it to a database, and deploy my model.There’s a video of this post at the bottom if you’d rather watch me work.This is part of a series on Redgate Data Modeler. This is also part of a series of posts on SQL Compare.A New ModelI started a new project, mostly as an experiment to help me practice with some technologies, with the idea that this will become…
FIPS compliance is a great idea that makes the entire software supply chain safer. But teams adopting FIPS-enabled container images are running into strange errors that can be challenging to debug. What they are learning is that correctness at the base image layer does not guarantee compatibility across the ecosystem. Change is complicated, and changing complicated systems with intricate dependency webs often yields surprises. We are in the early adaptation phase of FIPS, and that actually provides interesting opportunities to optimize how things work. Teams that recognize this will rethink how they build FIPS and get ahead of the game.…
# Syntax element in sequence element not in sequence # Example fruits = [‘apple’, ‘banana’, ‘orange’] print(‘apple’ in fruits) # True print(‘grape’ not in fruits) # True The Python in operator checks whether a value exists inside a sequence. The Python not in operator confirms whether a value does not exist in the sequence. Both return boolean values. That’s the entire concept, but the practical applications get interesting once you see how they behave across different data types. Checking membership in Python lists Lists are the most common place you’ll use membership operators. The syntax reads naturally, almost like English,…
import pandas as pd df = pd.read_csv(‘data.csv’) print(df.head()) That single line reads your CSV file and automatically detects the header row. Pandas assumes the first row contains column names by default, which is exactly what you want 99% of the time. But let me show you what’s actually happening under the hood, because understanding the mechanics makes everything else click into place. Understanding how pd.read_csv handles headers When you call pd.read_csv(), Pandas scans the first row of your CSV file and treats it as column names. This behavior is controlled by the header parameter, which defaults to header=0. That zero…
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