Log Aggregation in .NET 8: Seq vs ELK vs Loki
The article discusses log aggregation in .NET 8, focusing on the use of Serilog and various aggregators like Seq, ELK, and Loki. It emphasizes the importance of structured logging to effectively trace requests across multiple services. The author provides guidance on setting up Serilog and choosing the right aggregator based on team size and log volume.
- ▪Log aggregation allows services to write structured log events to a central store for easier querying.
- ▪Serilog can be configured with multiple sinks, enabling logs to be sent to different destinations based on the environment.
- ▪Seq is recommended for small teams due to its ease of setup and support for structured .NET logs.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/anayaupadhyay/log-aggregation-in-net-8-seq-vs-elk-vs-loki-437l |
| Publication time | Tue, 26 May 2026 09:15:00 +0000 |
| Retrieval time | 2026-05-26T09:37:47.770Z |
| Last seen | 2026-05-26T09:37:47.770Z |
| 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 | gHnjIsuJXzx_ |
| 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. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| 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 |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1736805) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Anaya Upadhyay Posted on May 26 • Originally published at instagram.com Log Aggregation in .NET 8: Seq vs ELK vs Loki #dotnet #csharp #serilog #aspdotnet I have seen the same setup at more companies than I can count: every service writing logs to stdout, a few rotating files scattered across VMs, maybe one service sending to Application Insights, and nobody quite sure where the logs from the background jobs go. It works fine until something breaks in production.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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