application-support

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

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

Java Spring Boot release monitoring application with semantic version checks, GitHub Releases, PostgreSQL, Flyway, Testcontainers, and Docker.

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

Portfolio for software implementation, SaaS onboarding and application support.

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

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

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

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

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

Hands-on IT Support, Systems Administration, ITSM and Healthcare Application Support labs.

Aspiring IT Support & Application Support Analyst focused on troubleshooting, system support, and SQL-based applications.

Python Backend / API Automation profile: QA/API, application support, internal tools, DriveDesk evidence, FastAPI, Docker.

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

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

Local support-engineering portfolio lab for SaaS ticket triage, SQL investigation, SLA prioritization, customer replies, and engineering escalations.

Enterprise Java application demonstrating JDK upgrades, regression testing, Spring Boot, SQL, and application support best practices.

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

Enterprise application validation framework using Playwright, JavaScript, REST APIs, and GitHub Actions to support release validation and production readiness.

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.