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Middleware Engineering & Automation

This section documents the modernization of middleware platforms. The goal is to transition monolithic, manual infrastructures toward elastic, code-managed architectures.

Traditional management of application servers introduces critical friction:

  • Operational Risk: Manual configuration leads to human error and Environment Drift.
  • Maintenance Cost: Excessive time spent on manual patching (Toil).

Solution: Immutable Infrastructure + Orchestration.



ComponentFunctionTechnical Justification
AnsibleConfigurationAgentless model ideal for environments with strict security constraints.
DockerRuntimeProcess isolation and portability of binaries and dependencies.
WildFly/JBossMiddlewareDe facto standard for Java EE applications in Enterprise environments.
SystemdSupervisionNative service lifecycle management on the Linux host.

  • Automation Engineering: Development of idempotent Playbooks and reusable roles.
  • Secret Management: Decoupling credentials and configuration from source code.
  • Container Networking: Secure service exposure and network interface management.