Mahmut Sarikaya - Software Developer
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Blog
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.
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.
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.
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.
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.
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.
Boost API Performance with .NET 8 Source Generators and System.Text.Json
Learn how to use .NET 8 source generators to create compile‑time JSON serializers with System.Text.Json, dramatically reducing runtime overhead for high‑throughput APIs. The guide covers setup, integration with minimal APIs, AOT compilation tips, and real‑world benchmarking results for enterprise‑grade services.
Deploy .NET 8 Native AOT to AWS Lambda for Ultra‑Fast Serverless Functions
Explore how to compile .NET 8 projects with Native AOT into lightweight native binaries and run them as custom runtimes on AWS Lambda. The guide walks through project setup, dependency trimming, packaging, and deployment, showing measurable latency improvements and cost benefits for serverless C# workloads.
Build Real-Time Collaborative Mapping with .NET 8, SignalR, and Azure Maps
Learn how to build interactive, multi‑user mapping solutions using .NET 8 Minimal APIs, SignalR for low‑latency WebSocket communication, and Azure Maps for geospatial rendering. The guide covers architecture design, authentication with Azure AD, scaling strategies, and practical code samples for synchronizing map data across browsers in real time.
Designing Event-Driven Serverless Architectures with .NET 8, Azure Functions, and Dapr
Explore how to combine .NET 8's latest performance features with Azure Functions and Dapr to build scalable, event‑driven serverless applications. The guide covers setting up Dapr sidecars, publishing/subscribing to CloudEvents, and deploying C# function apps that react instantly to changes in storage, messaging, or APIs.
Real-Time AI-Powered Content Moderation in the Browser with TensorFlow.js, Web Workers, and WebGPU
Discover how to build an on‑device, privacy‑preserving content moderation pipeline that runs entirely in the browser. This tutorial walks through selecting lightweight TensorFlow.js models, accelerating inference with WebGPU, offloading computation to Web Workers for smooth UI, and integrating the system into chat or comment sections for instant abuse detection.
Run Transformer Text Summarization in the Browser with WebGPU & TensorFlow.js
Learn how to leverage WebGPU acceleration and TensorFlow.js to load and run lightweight transformer models entirely in the browser for instant text summarization. The guide covers model conversion, performance tuning with GPU shaders, and practical integration into JavaScript web apps.