filmov
tv
Linux and shell scripting for devops part 7 by sai krishna

Показать описание
okay, let's dive into a comprehensive tutorial on linux and shell scripting for devops, part 7. we'll cover advanced shell scripting techniques, focusing on topics particularly relevant to devops workflows. this will build upon previous concepts and introduce more sophisticated tools and approaches. this will be inspired by sai krishna's approach, emphasizing practicality and real-world applications.
**part 7: advanced shell scripting for devops – focus on automation, data manipulation, and error handling**
**recap of previous concepts (briefly):**
* **basic shell scripting:** variables, control flow (if/else, loops), functions.
* **command-line tools:** `grep`, `sed`, `awk`, `find`, `xargs`.
* **file manipulation:** `cat`, `echo`, `tee`, redirection.
* **user and permission management:** `chmod`, `chown`, `sudo`.
* **package management:** `apt`, `yum`.
* **networking basics:** `ping`, `netstat`, `ss`.
**part 7 objectives:**
1. **advanced data manipulation with `awk` and `sed`:** going beyond simple substitutions and extractions.
2. **working with arrays:** creating, manipulating, and iterating through arrays.
3. **error handling and robust scripting:** implementing comprehensive error checks and logging.
4. **using regular expressions effectively:** mastering advanced regex patterns for complex text processing.
5. **automation with `cron` and `systemd` timers:** scheduling tasks for devops workflows.
6. **parameter validation and input sanitization:** ensuring scripts are secure and reliable.
7. **json parsing with `jq`:** extracting and manipulating data from json files (common in apis).
8. **practical devops examples:** demonstrating how these techniques are applied in real-world scenarios (e.g., log analysis, system monitoring, deployment automation).
**1. advanced data manipulation with `awk` and `sed`**
* **`awk`:** while we've used `awk` for basic extraction, let's explore more powerful features.
* **example: calc ...
#Linux #ShellScripting #numpy
Linux
shell scripting
DevOps
automation
scripting techniques
system administration
command line
Bash scripting
configuration management
continuous integration
version control
task automation
server management
deployment pipelines
performance tuning
**part 7: advanced shell scripting for devops – focus on automation, data manipulation, and error handling**
**recap of previous concepts (briefly):**
* **basic shell scripting:** variables, control flow (if/else, loops), functions.
* **command-line tools:** `grep`, `sed`, `awk`, `find`, `xargs`.
* **file manipulation:** `cat`, `echo`, `tee`, redirection.
* **user and permission management:** `chmod`, `chown`, `sudo`.
* **package management:** `apt`, `yum`.
* **networking basics:** `ping`, `netstat`, `ss`.
**part 7 objectives:**
1. **advanced data manipulation with `awk` and `sed`:** going beyond simple substitutions and extractions.
2. **working with arrays:** creating, manipulating, and iterating through arrays.
3. **error handling and robust scripting:** implementing comprehensive error checks and logging.
4. **using regular expressions effectively:** mastering advanced regex patterns for complex text processing.
5. **automation with `cron` and `systemd` timers:** scheduling tasks for devops workflows.
6. **parameter validation and input sanitization:** ensuring scripts are secure and reliable.
7. **json parsing with `jq`:** extracting and manipulating data from json files (common in apis).
8. **practical devops examples:** demonstrating how these techniques are applied in real-world scenarios (e.g., log analysis, system monitoring, deployment automation).
**1. advanced data manipulation with `awk` and `sed`**
* **`awk`:** while we've used `awk` for basic extraction, let's explore more powerful features.
* **example: calc ...
#Linux #ShellScripting #numpy
Linux
shell scripting
DevOps
automation
scripting techniques
system administration
command line
Bash scripting
configuration management
continuous integration
version control
task automation
server management
deployment pipelines
performance tuning