DevOps Training beginner

Perl Training — Legacy Enterprise Automation, Text Processing & System Scripting

Learn Perl for legacy enterprise automation: text processing, system scripting, and maintaining Perl-based infrastructure tooling. For enterprises with Perl automation that needs maintenance and modernization.

Why Perl Matters in Legacy Enterprise Automation

Perl was the original DevOps language — the "duct tape of the internet" that automated system administration, log processing, and infrastructure management long before "DevOps" was a word. In the 1990s and early 2000s, Perl scripts ran production infrastructure at banks, telecoms, and ISPs worldwide. While Python and Bash have largely replaced Perl for new automation, significant Perl codebases still operate in enterprise environments — particularly in financial services, telecom, and healthcare — where these scripts process logs, generate reports, and manage systems. This course teaches Perl for maintaining these scripts and planning modernization.

Current Relevance

Perl is a legacy enterprise automation language. Python is the recommended replacement for new automation. This course is for engineers who have inherited Perl scripts and need to maintain them while planning Python migration. It is not recommended as a first automation language. For new projects, Python or Bash are the recommended choices.

Who Should Attend

  • DevOps engineers inheriting Perl-based automation scripts
  • System administrators maintaining legacy Perl tooling
  • Engineering managers planning Perl→Python migration

Learning Outcomes

  • Read, understand, and modify existing Perl scripts
  • Use Perl's text processing capabilities — regular expressions, file handling, reporting
  • Maintain Perl-based system administration and log processing scripts
  • Write new Perl scripts for maintenance-mode automation
  • Plan Perl→Python migration with script-by-script prioritization

Course Modules

  1. Perl Fundamentals — Variables, scalars, arrays, hashes. Context. References. Subroutines. Perl's philosophy.
  2. Text Processing with Perl — Regular expressions (Perl's powerful regex engine). File I/O. Report generation.
  3. System Automation with Perl — System commands. Process management. File operations. CPAN modules.
  4. Common Perl Patterns in Enterprise — Log parsing scripts. Monitoring scripts. Data transformation. ETL scripts.
  5. Modernization: Perl to Python — Script assessment. Migration prioritization. Perl-to-Python patterns. Coexistence.
  6. Capstone: Perl Script Maintenance — Analyze, maintain, and plan migration for a legacy Perl automation suite.

Related Courses

See Python for DevOps, Bash Scripting, SysOps Training, and DevOps Engineering.

TOOLS_COVERED

Perl Bash Python sed awk

PREREQUISITES

  • Basic programming concepts
  • Linux command-line familiarity

CURRICULUM

Covers: Jenkins, Bamboo, TeamCity, GitHub Actions, GitLab CI, Azure DevOps. Hands-on labs and real-world scenarios.
Covers: Apache Maven, Gradle, Apache Ant, MSBuild, Makefile, NAnt, Grunt. Hands-on labs and real-world scenarios.
Covers: Nexus, Artifactory, NuGet, Chocolatey, APT, YUM, RPM, Apache Archiva. Hands-on labs and real-world scenarios.
Covers: Jira, Zendesk. Hands-on labs and real-world scenarios.
Covers: Python, Bash, PowerShell, Groovy, Ruby, Perl. Hands-on labs and real-world scenarios.

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