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Mahmut Sarikaya - Software Developer

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Build a Multi‑Modal AI API with .NET 8, Azure AI Vision & Speech

Build a Multi‑Modal AI API with .NET 8, Azure AI Vision & Speech

Learn how to design and implement a single .NET 8 API that processes images, text, and audio using Azure AI Vision and Azure AI Speech services. The guide covers setting up Azure Functions, handling multimodal payloads, securing endpoints, and deploying the solution with Azure Container Apps for scalable, low‑latency AI inference.

August 25, 202660Detail→
Integrating .NET 8 with Azure Container Apps for Scalable Event‑Driven Workers

Integrating .NET 8 with Azure Container Apps for Scalable Event‑Driven Workers

Explore how to build highly scalable, event-driven background workers in .NET 8 using Azure Container Apps combined with Dapr's pub/sub building blocks. The guide covers setting up containerized C# services, configuring Dapr sidecars, connecting to Azure Service Bus or Kafka, and leveraging built‑in autoscaling for cost‑effective workloads without managing Kubernetes clusters.

August 25, 202640Detail→
Automating Code Reviews with .NET 8, Azure OpenAI, and GitHub Actions

Automating Code Reviews with .NET 8, Azure OpenAI, and GitHub Actions

Learn how to create an AI‑powered code review bot using .NET 8, Azure OpenAI, and GitHub Actions. The guide covers building a C# CLI tool that sends pull‑request diffs to Azure OpenAI’s Codex model, parses suggestions, and posts comments back to GitHub, enabling continuous, automated quality checks for every commit.

August 25, 202680Detail→
Building Multi‑Tenant SaaS with .NET 8, EF Core, and Azure AD B2C

Building Multi‑Tenant SaaS with .NET 8, EF Core, and Azure AD B2C

Learn how to design and implement a multi‑tenant SaaS platform using .NET 8 and Entity Framework Core, with tenant isolation strategies ranging from separate schemas to row‑level security. The guide covers authentication and user management with Azure AD B2C, automated provisioning, and best practices for scaling and securing tenant data in production.

August 25, 2026190Detail→
Zero‑Trust .NET 8 Microservices with Azure AD, mTLS, and OPA

Zero‑Trust .NET 8 Microservices with Azure AD, mTLS, and OPA

Learn how to implement a Zero‑Trust architecture for .NET 8 microservices by combining Azure Active Directory for identity, mutual TLS for transport security, and Open Policy Agent for fine‑grained authorization. This guide covers practical configuration steps, code samples, and deployment patterns to protect your services end‑to‑end while maintaining high performance.

August 25, 2026140Detail→
Real-Time Data Synchronization in .NET 8 Microservices with Azure Cosmos DB Change Feed and Apache Kafka

Real-Time Data Synchronization in .NET 8 Microservices with Azure Cosmos DB Change Feed and Apache Kafka

Learn how to build a low‑latency, event‑driven architecture that streams changes from Azure Cosmos DB Change Feed into Apache Kafka topics using .NET 8 background services. The guide covers setting up the Cosmos DB SDK, configuring Kafka producers, handling schema evolution, and deploying the solution with Docker and Kubernetes for scalable, fault‑tolerant data synchronization.

August 24, 2026160Detail→
Zero‑Downtime Deployments for .NET 8 Microservices with Kubernetes, Argo Rollouts, and Istio

Zero‑Downtime Deployments for .NET 8 Microservices with Kubernetes, Argo Rollouts, and Istio

Learn how to achieve seamless, zero‑downtime releases of .NET 8 microservices by combining Kubernetes native rolling updates with Argo Rollouts for advanced canary strategies and Istio for traffic shifting. The guide covers step‑by‑step configuration, automated health checks, and CI/CD pipeline integration to ensure reliable production rollouts.

August 24, 2026210Detail→
Leveraging .NET 8 Minimal APIs with Azure OpenAI Function Calling for Dynamic Workflow Automation

Leveraging .NET 8 Minimal APIs with Azure OpenAI Function Calling for Dynamic Workflow Automation

Explore how to combine .NET 8 minimal APIs with Azure OpenAI's function calling feature to build intelligent, auto‑configuring workflow services. The guide covers SDK setup, security best practices, and a real‑world example that routes user requests to appropriate micro‑tasks using C# and Azure Functions.

August 24, 2026160Detail→
Supercharging .NET 8 Microservices with HTTP/3, gRPC‑QUIC, and Client‑Side Streaming

Supercharging .NET 8 Microservices with HTTP/3, gRPC‑QUIC, and Client‑Side Streaming

Explore how .NET 8’s native HTTP/3 support and gRPC‑QUIC can dramatically reduce latency and improve throughput for modern microservice architectures. The guide walks through configuring Kestrel, implementing bidirectional streaming APIs, and using diagnostic tools to monitor performance in production.

August 24, 2026180Detail→
Implement Retrieval‑Augmented Generation with .NET 8, Azure AI Search, and Semantic Kernel

Implement Retrieval‑Augmented Generation with .NET 8, Azure AI Search, and Semantic Kernel

Learn how to build a Retrieval‑Augmented Generation pipeline in .NET 8 using Azure AI Search’s vector store and the Semantic Kernel library. The guide walks through indexing documents, performing hybrid keyword‑vector queries, and feeding the results into Azure OpenAI to create context‑aware responses, with full code samples and deployment tips for Azure Functions or Minimal APIs.

August 24, 2026120Detail→
Building Scalable GraphQL APIs with .NET 8 Minimal APIs and Hot Chocolate

Building Scalable GraphQL APIs with .NET 8 Minimal APIs and Hot Chocolate

Explore how to combine .NET 8 Minimal APIs with the Hot Chocolate GraphQL library to create high‑performance, schema‑first APIs. The guide covers project setup, type‑safe schema definition, authentication integration, and real‑world scaling patterns for microservice architectures.

August 23, 2026230Detail→
Observability‑First .NET 8 Microservices with OpenTelemetry, Prometheus & Grafana

Observability‑First .NET 8 Microservices with OpenTelemetry, Prometheus & Grafana

Learn how to instrument .NET 8 microservices for end‑to‑end observability using OpenTelemetry SDKs, export traces to Jaeger or Zipkin, and push metrics to Prometheus for Grafana dashboards. The guide covers practical setup, best‑practice configurations, and real‑world deployment on Kubernetes, ensuring reliable monitoring and faster issue resolution.

August 23, 2026260Detail→