Azure OpenAI + Semantic Kernel in a .NET SaaS: What Breaks in Production and How to Fix It
Integrating Azure OpenAI and Semantic Kernel into a .NET SaaS product can lead to unexpected challenges in production. Common issues include latency spikes, higher-than-expected token costs, and rate limit errors. Solutions involve optimizing response handling and reviewing timeout settings across the application stack.
- ▪Latency spikes occur when a .NET SaaS application built on synchronous request handling is used for LLM calls.
- ▪Production deployments often incur higher costs than estimated due to the pricing structure of input and output tokens.
- ▪Common failures in production include 429 rate limit errors and observability gaps that complicate troubleshooting.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/blackthorn_vision_co/azure-openai-semantic-kernel-in-a-net-saas-what-breaks-in-production-and-how-to-fix-it-2m8c |
| Publication time | Mon, 18 May 2026 12:58:34 +0000 |
| Retrieval time | 2026-05-18T13:04:56.494Z |
| Last seen | 2026-05-18T13:04:56.494Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | feJv75hJsp_o |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3930801) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Blackthorn Vision Posted on May 18 Azure OpenAI + Semantic Kernel in a .NET SaaS: What Breaks in Production and How to Fix It #dotnet #azure #kernel #openai Adding Azure OpenAI and Semantic Kernel to a .NET SaaS product is straightforward in a demo environment. The integration works, responses stream cleanly, the Semantic Kernel plugin system handles function calling elegantly, and the team ships a compelling proof of concept in a few weeks.
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