Linux is popular among open source community. That to you can install open source on Linux. These features help you to know about Linux Operating system.
1# Linux Kernel
The kernel allocates memory and CPU time, and it also controls access to disk and network hardware. In addition this pdf helps you to know Linux file system.
Embedded Operating System
Android is the embedded Linux Operating system. The others Like CentOs, Fedora, Debian. These run on Servers, Desktops and Laptops.
Android you can use in any small device. So Android is Linux Embedded OS.
2#. Licencing
The open source definition specifies that users should be able to distribute changes, but it doesn’t require that users distribute the software under the terms of the same license.
LINUX
3# Multi Tasking
Linux’s multitasking is preemptive, meaning that the kernel can give CPU time to any process as it sees fit, potentially interrupting (or preempting) other processes.
4#. Networking
If you want to enable one Linux computer to access files stored on another Linux computer’s hard disk – the best protocol is NFS.
5#. Language
Top language in which most of the Linux kernels written is C.
6#. Managing Linux Applications
You can install and run different Linux applications by using Package management system.
7#. Locate Command
The purpose of locate command is it searches a file name from all the directories.
8#. Availability
Linux servers are more popular that they available for continuous processing.
9#. Commands
Diff – This commands is useful to compare two files.
Comp – This command also you can use to compare two files.
Nice – This command you can use to change the priority of a given process.
Modern applications often allow users to upload files—documents, invoices, images, or datasets. But a production-grade upload pipeline must be secure, scalable, and well-organized. In this article, we will build a complete end-to-end architecture where: We will implement this using Amazon API Gateway, AWS Lambda, PostgreSQL, and Amazon S3. This architecture is widely used in cloud-native…
AI agents are revolutionizing data engineering by automating tasks such as monitoring pipelines, generating SQL queries, and ensuring data quality. They enhance productivity, speed up troubleshooting, and improve data accessibility for users. While offering significant advantages, AI agents also face challenges in security, accuracy, and integration with existing systems.
Artificial Intelligence tools are on the rise, from writing assistants to coding helpers and automation platforms. However, many professionals struggle to compare these tools effectively. This is where the AI Stack becomes important. Modern AI tools like ChatGPT, NotebookLM, and Antigravity serve different purposes, and understanding their roles helps in: Layer 1: Conversational AI (Thinking…
Strong workplace communication is one of the most valuable professional skills today.Whether you’re giving project updates, speaking to clients, or collaborating with teams — the ability to speak clearly and confidently can set you apart. However, many professionals struggle with: One of the best ways to improve is through chunking and pausing. Chunking helps you:✔…
Setting up a Relational Database Service (RDS) database in Amazon Web Services (AWS) is an essential skill for developers and data engineers. This blog post outlines four different methods for creating an RDS database, providing step-by-step instructions that are easy for beginners to follow. Additionally, we will discuss how to create schemas after establishing the…
Learn how to move from a local database to a production-ready cloud setup using Amazon RDS. A beginner-friendly step-by-step guide covering setup, backups, scaling, and best practices.
Data Engineer with deep AI and Generative AI expertise, crafting high-performance data pipelines in PySpark, Databricks, and SQL. Skilled in Python, AWS, and Linux—building scalable, cloud-native solutions for smart applications.
You must be logged in to post a comment.