I Built a Full-Stack Uptime Monitoring SaaS in 30 Days — Here's Everything I Learned
Adarsh Shukla developed WhistleBlower, a full-stack uptime monitoring tool, in 30 days. The tool offers various monitoring features and instant alerts to keep users informed about website status. Shukla shares insights on the challenges faced during development and lessons learned.
- ▪WhistleBlower provides HTTP, TCP, PING, and DNS monitoring, along with instant alerts via multiple platforms.
- ▪The tech stack includes Next.js, Node.js, Express, TypeScript, and MySQL.
- ▪A significant challenge was that ICMP ping was blocked in containerized environments, requiring a fallback strategy.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/adarshshukla/i-built-a-full-stack-uptime-monitoring-saas-in-30-days-heres-everything-i-learned-2k63 |
| Publication time | Sat, 30 May 2026 06:48:35 +0000 |
| Retrieval time | 2026-05-30T07:12:08.061Z |
| Last seen | 2026-05-30T07:12:08.061Z |
| 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 | 81saW3-Rz2b0 |
| 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 === 3943664) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Adarsh Shukla Posted on May 30 I Built a Full-Stack Uptime Monitoring SaaS in 30 Days — Here's Everything I Learned #webdev #ai #showdev #devops Six months ago I was manually refreshing my client's website after every deployment, praying it stayed up. That's when I decided to build WhistleBlower — a real-time uptime monitoring tool with alerts, status pages, and incident tracking. Here's what I built and what I learned.
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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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