Time to Live (TTL), often referred to as hop limit, is a crucial mechanism used in computer networking to manage the lifespan of data packets as they traverse through a network. The primary purpose of TTL is to prevent data packets from circulating indefinitely, which can occur due to routing errors or network loops. By Read More …
Category: Learn IT
This is all of the posts dedicated to sharing the IT knowledge I have accumulated through the years and through all of the positions, companies, and projects. As I say, I am not the sharpest tool in the shed, but my shed and tool collection is a lot larger than the average bear, Boo Boo.
AGI – Artificial General Intelligence
Imagine the smartest person you know – someone who can learn anything, understand complex ideas across different subjects, solve novel problems they’ve never encountered before, and even exhibit creativity and common sense. Now, picture that level of intelligence not in a human, but in a machine. That, in essence, is the concept of Artificial General Read More …
parallel file system
A parallel file system is a specialized storage system designed to deliver extremely high performance for applications that need to access large amounts of data concurrently from multiple computing nodes. Unlike traditional file systems that route all data through a single server, a parallel file system distributes data across numerous storage servers and disks, allowing Read More …
NetExec for SMB Enumeration
What is NetExec? NetExec (formerly CrackMapExec) is a powerful “Swiss Army knife” tool for offensive security engagements, particularly useful for interacting with Active Directory (AD) environments. For someone learning about offensive security, here’s a quick summary of how to use NetExec in an engagement, focusing on SMB enumeration: NetExec is a command-line tool that automates Read More …
Machine Learning – Journey Through the Mind of the Machine
The dream of creating artificial intelligence, of imbuing machines with the capacity to think and learn, is a long-standing one, stretching back centuries in philosophical thought and fictional tales. However, the formal history of Artificial Intelligence (AI) as a scientific discipline began in the mid-20th century, fueled by advancements in computing and a group of Read More …
Random Forests in Artificial Intelligence
Random Forests are an ensemble learning method widely used in artificial intelligence (AI) for classification and regression tasks. This technique builds upon the concept of decision trees, combining the predictions of multiple trees to enhance accuracy and robustness. By leveraging the strengths of individual decision trees while mitigating their weaknesses, Random Forests have become a Read More …
Integrating Docker into a CI/CD Pipeline
A typical Dockerized CI/CD pipeline, often orchestrated by tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps, follows these stages: Code Commit and Trigger: The process begins when a developer commits code to a version control system (VCS) like Git. This commit, particularly to a designated branch triggers the CI/CD pipeline automatically via a web Read More …
Docker for IT Professionals
Docker containers has moved beyond a buzzword to become a cornerstone of modern infrastructure and software deployment. At its core, Docker addresses long-standing challenges in application portability, dependency management, and environmental consistency, offering a totally new way to approach to how we build, ship, and run software. Historically, the phrase “it works on my machine” Read More …
ICMP – Internet Control Message Protocol
The Internet Control Message Protocol (ICMP) is a fundamental protocol used in the Internet Protocol (IP) suite. It is primarily designed for network devices to communicate error messages and operational information regarding the status of the network. While ICMP is not used for transmitting data like TCP (Transmission Control Protocol) or UDP (User Datagram Protocol), Read More …
Decision Trees in Artificial Intelligence
Decision trees are a popular and intuitive method used in artificial intelligence (AI) for classification and regression tasks. They represent a model in the form of a tree-like structure, where each internal node corresponds to a decision based on an input feature, each branch represents the outcome of that decision, and each leaf node signifies Read More …