Fortifying APIs: Data Validation with Pydantic When building backend services, a fundamental principle stands above all others: never implicitly trust incoming data. Client applications, whether web, mobile, or third-party integrations, are inherently unpredictable. A seemingly innocuous input field expecting an integer for "age" might instead transmit "twenty-five". Without robust safeguards, s
Modern yazılım geliştirme ekosisteminde altyapının kod olarak yönetilmesi hız ve ölçeklenebilirlik açısından devrim yaratırken GitOps yaklaşımı bu süreci merkezi bir doğruluk kaynağına bağlamaktadır. Ancak tüm yapılandırma detaylarının tek bir platformda toplanması kritik siber güvenlik risklerini de beraberinde getirmektedir. Nesil Teknoloji olarak TSE A Sınıfı sızma testi yetkimizle endüstriyel
The Dangerous Bugs Are the Ones That Don't Crash: Building Input Validation for My MCP Server I was building an MCP server for an event platform that automates speaker communications (confirmations, reminders, calendar invites, follow-ups). An agent created a session confirmation for "Monday March 8th." March 8th was a Sunday. I caught it. But catching it was just the beginning. The confirmation
Power BI is a powerful business analytics service developed by Microsoft that empowers users to visualise data and share interactive dashboards across their organisation. While Power BI can handle data from various sources, its true potential is unleashed when connected to robust data sources like SQL databases. SQL databases—such as PostgreSQL, MySQL, and SQL Server—are the industry standard for