Your Webhooks Are Failing Silently — Here's How We Fixed It
Last week I read through 50+ Dev.to posts about webhook problems. The same complaints came up over and over:
"My Stripe webhook was returning 500s for 3 days. Nobody told me."
"I have webhooks from 5 providers across 3 projects. I'm not checking 15 dashboards every morning."
"The endpoint processed the same payment twice because my retry logic was broken."
Sound familiar? You're not alone. Webhooks are the backbone of modern integrations, but the tooling around them is broken. So we built HookSniff — a webhook platform that addresses the exact problems developers complain about most.
Here are the 5 biggest webhook frustrations developers face, and how we solved each one.
Problem 1: Webhooks Fail Silently (And Nobody Tells You)
This is the #1 complaint across every forum, blog post, and Reddit thread about webhooks. Your endpoint goes down, the sender retries a few times, gives up, and moves on. You find out days later when a customer complains they were charged but never got access.
One developer on Dev.to shared this:
"A payment webhook broke in production. Three days of failed deliveries. Customers charged but never activated. One client gone for good."
The problem isn't that webhooks fail — they will. The problem is that nobody tells you.
How HookSniff fixes it:
Every single delivery is tracked in real-time. You get a dashboard showing success rates, failure streaks, and latency percentiles — per endpoint. If your success rate drops below your configured threshold, you get an alert. Not tomorrow. Now.
We track delivery status at every stage: pending → in_progress → delivered or failed. If a delivery fails, it moves to the dead letter queue automatically. Nothing gets silently dropped.
Every delivery is visible. Every failure is tracked. Nothing disappears.
Problem 2: "Just Check the Dashboard" Doesn't Scale
The second most common frustration: visibility. Developers are receiving webhooks from Stripe, GitHub, SendGrid, Shopify, and more — across multiple projects. The suggestion to "just check the dashboard" means checking 10+ dashboards every single day.
Nobody does that.
What developers actually want (we found this exact list repeated in multiple posts):
- One place to see all webhook endpoints across all projects
- Instant alerts when something fails
- Delivery logs with response codes, latency, and payload details
- Success rate trends over time (24h / 7d / 30d)
How HookSniff fixes it:
HookSniff gives you a single dashboard for everything. Endpoint health cards show success rate, p95/p99 latency, and failure streaks at a glance. The analytics page shows delivery trends with configurable time ranges.
No more jumping between Stripe's dashboard, GitHub's webhook logs, and your own error tracker. One place. One login.
All your endpoints, all their health metrics, one screen.
Problem 3: Retry Logic Is Dangerously Half-Baked
This one came up in a viral Dev.to post titled "Most Webhook Implementations Are Dangerously Half-Baked" — and the comments were full of people agreeing.
The core issue: most developers treat all failures the same. A 500 error and a 400 error get the same retry treatment. But they're completely different problems:
- 500 (server error): The endpoint had a temporary issue. Retry with backoff.
- 400 (bad request): Your payload is wrong. Retrying 12 times won't fix it.
- 429 (rate limited): Back off and retry after the specified window.
- Timeout: The endpoint is slow. Retry, but maybe with a longer timeout.
If you retry a 400 twelve times, you're just hammering someone's server with a broken payload. If you don't retry a 500, you're losing events.
How HookSniff fixes it:
Every failed delivery gets classified automatically:
| Response | Classification | Action |
|---|---|---|
| 2xx | delivered |
Success — no retry needed |
| 400/401/403 | permanent_error |
Stop immediately — fix your payload |
| 408/429 | rate_limited |
Retry after backoff window |
| 5xx | server_error |
Exponential backoff with jitter |
| Timeout | timeout |
Retry with increasing timeout |
| DNS/TLS | network_error |
Retry with backoff |
Retries use exponential backoff with ±25% jitter (to prevent thundering herd), configurable per endpoint. You can set max retry attempts, base delay, and max delay individually for each endpoint.
Every attempt is logged with status code, latency, response body, and classification.
Problem 4: Duplicate Deliveries Break Everything
Webhook providers guarantee at-least-once delivery, not exactly-once. This means your handler will receive the same event multiple times — during retries, network blips, or provider-side issues.
If your handler charges a card, creates a database record, or sends an email on every delivery, duplicates are a real problem. One developer shared:
"The endpoint processed the same payment twice because the response got lost in transit. The retry kicked in and the customer was charged twice."
How HookSniff fixes it:
Two layers of protection:
1. Idempotency keys on send: When you send a webhook through HookSniff, you can include an Idempotency-Key header. If the same key is seen within 24 hours, the second request returns the same response without creating a new delivery.
2. Webhook-ID on delivery: Every delivery gets a unique webhook-id header. Your handler should track these and skip processing for IDs it's already seen. We provide the standard headers:
webhook-id: msg_abc123
webhook-timestamp: 1717500000
webhook-signature: v1,sha256=abc123...
This follows the Standard Webhooks specification — the same approach used by Svix, Stripe, and other major providers.
Problem 5: Existing Solutions Are Too Expensive
This is the elephant in the room. Let's look at what's available:
| Platform | Price | What You Get |
|---|---|---|
| Svix | $490/mo | Great product, but 10x the price |
| Hookdeck | $39/mo | No FIFO ordering, no endpoint throttling |
| Hook0 | €59/mo | EU-focused, limited SDKs |
For indie developers and small teams, $490/month for a webhook platform is a non-starter. And building it yourself means months of work on retry logic, signature verification, dead letter queues, monitoring, and alerting — time you could spend on your actual product.
What Else Developers Asked For (And We Built)
Beyond the top 5, here are other features that came up repeatedly in developer discussions:
🔐 Signature verification that actually works. HMAC-SHA256 with whsec_ secrets, following the Standard Webhooks spec. Constant-time comparison to prevent timing attacks. Not optional — every delivery is signed.
📊 FIFO ordering. Critical for event-sourced systems. Sequence numbers guarantee your events arrive in order. Only Svix also offers this.
🔀 Smart routing. Round-robin, failover, weighted, and random strategies. If your primary endpoint fails, traffic automatically shifts to a fallback URL.
🛡️ SSRF protection. Blocks private IPs, metadata endpoints, and DNS rebinding attacks out of the box. No configuration needed.
🔌 Inbound webhook proxy. Receive webhooks from Stripe, GitHub, and Shopify through a single normalized endpoint. No other platform offers this.
📦 11 SDKs (in development). Node.js, Python, Go, Rust, Ruby, Java, Kotlin, PHP, C#, Elixir, and Swift.
Try It Today
No vendor lock-in. No surprise pricing.
- 🌐 Website: hooksniff.vercel.app
- 📖 Docs: hooksniff.vercel.app/docs
If you've been burned by silent webhook failures, give it a try. If you're building webhook infrastructure from scratch, save yourself the months of work.
And if you have webhook horror stories — drop them in the comments. We've all been there. 🪝
*Built with ❤️ and Rust.