Sandbox environment for deliberately breaking application components to simulate real-world incidents and practice support workflows. 🐞

Save persistent data or file in UserDefaults, Keychain, File System, Memory Cache, URLCache

Real-world SQL investigations for Product Support using PostgreSQL and DBeaver.

Track installed software versions, release sources, and update readiness.

Flask-based senior support management system demonstrating business analysis, client and service workflows, appointment management, operational reporting, privacy-aware design, and automated testing.

Mock HR and financial application support portal demonstrating incident intake, knowledge management, SLA tracking, SQL reporting, documentation, and user training.

FastAPI audit logging and observability project with structured JSON logs, request IDs, Docker, Kubernetes, and GitHub Actions.

PowerShell script that automates log file cleanup based on retention rules defined in a CSV. Includes a log generator for testing.

PowerShell script that checks server availability from a CSV list and updates their status.

Reference implementation for support queue monitoring, SLA-risk triage and AI-to-human handoffs.

PowerShell script to monitor Windows services, enforce desired state (Running/Stopped), and log results.

A basic project support bootstrap that will handle documenting, testing, reporting and security analysis of your application.

Advanced PostgreSQL project - banking app support schema with incident tracking, window functions, CTEs, stored procedures and operational views

Hands-on Kafka practice with Docker, K8s, and Python

Incident management dashboard for support teams with SLA monitoring, ticket tracking, and operational reporting.

Simulated application support investigation using the Olist Brazilian E-Commerce public dataset, structured the way a real payment reconciliation ticket would be worked, from initial setup through to findings and remediation.

A SQL data investigation project simulating real Application Support Analyst work, including troubleshooting queries, data analysis, and realistic support tickets.

ETL automation project using Python, SQLite and SQL to validate transaction data and generate operational reports for Application Support scenarios.

Portfolio for software implementation, SaaS onboarding and application support.

Application support runbook lab with incident triage, UAT, SQL checks, release checklists, and a FastAPI ticket tracker.