Hey folks, let’s cut through the jargon for a sec—today we’re talking about API availability. If you’ve ever ordered food through a delivery app, checked a bank balance on your phone, or streamed a show at 2 a.m., you’ve used an API. But have you ever stopped to wonder why sometimes that app glitches out when you’re trying to pay? More often than not, it’s not your Wi-Fi or your phone acting up—it’s an API availability issue. And since I’m the CEO of a small but scrappy API vendor, I’m gonna spill the tea on what that actually means, why it matters, and how we nail this at my company. API
First, let’s get super basic: an API (Application Programming Interface) is just the middleman that lets two pieces of software talk to each other. When you tap “confirm order” on your coffee app, it sends a request to the restaurant’s order API, which tells their system to prep your latte. When that API works when it’s supposed to? That’s availability. Simple enough, right? But here’s the thing—availability isn’t just “the API is online.” It’s a metric that measures how often that API is actually accessible and working as intended when someone needs it. Like, if an API is down for 43 minutes out of every month, that’s 99.95% availability. That number sounds impressive, but wait—99.9% availability means about 8.7 hours of downtime a year. For a small business relying on that API to process payments? That’s a whole work week lost to lost sales and angry customers. Not great, right?
A lot of people mix up uptime with availability, and that’s where things get messy. Uptime just means the server the API lives on is running. Availability means the API is not just online, but responding correctly to requests. Let’s say our payment API is sitting on a server that never crashes (so 100% uptime), but every third request it sends a wrong error message instead of processing the payment. That’s uptime, no availability. Or worse—what if the server is fine, but our database that stores customer payment info got stuck in an update and can’t connect to the API? Still a server that’s “up,” but the API is dead on arrival. That’s why availability is the real deal for users—they don’t care if your server is fine, they care if their request works.
Now, why should you (as a developer, business owner, or even just a regular person who uses apps) care about API availability? Let’s break it down with real examples. Last year, a buddy of mine runs a small e-commerce shop that uses our product inventory API to update his store’s stock counts. Back then, his old API vendor was averaging 99.8% availability—sounds fine, right? Until Black Friday rolled around. A few hundred of his customers tried to buy popular hoodies at the same time, and boom—his inventory API couldn’t handle the load. It failed 0.2% of the time that day, which translated to 200+ failed orders, over $10k in lost revenue, and a dozen angry DMs from customers who thought the shop was sold out for good. That’s the stuff that keeps small business owners up at night.
For us as an API vendor, availability isn’t just a number we brag about on our website—it’s the backbone of what we do. We work with folks like that e-commerce shop, plus food delivery apps, fitness apps, and even a few university research teams, and every single one of them relies on our API to keep their business (or their research) moving. So how do we make sure our availability is tight? It’s not magic, it’s a lot of boring-but-necessary work. First, we run our API on multiple servers, spread across three different data centers. That’s called redundancy—if one data center has a power outage or a network blip, the traffic automatically switches to another one. No one even notices, as long as the failover is fast. We test that failover every single week, too—no letting stuff sit and hope it works when we need it.
Second, we monitor every single request our API gets, all day, every day. We use tools that ping our API every few seconds, and if a request fails (for any reason—too much traffic, a glitch in our code, a database hiccup), our engineering team gets an alert on their phones, even at 2 a.m. Last month, we had a small update to our address validation API that caused a tiny delay for about 15 minutes. Our team got the alert 2 minutes after the first failed request, had the fix out in 8, and no customers even said a word about it. That’s the difference between good availability and great availability—catching issues before your users notice them.
Also, we’re super transparent about what counts as downtime. A lot of API vendors will say their availability is 99.99%, but they define downtime as only when the entire API is completely unusable. We define it as any request that doesn’t work as intended, even if it’s a tiny error or a slow response that causes a user’s app to glitch. For us, over the last 12 months, our average availability is 99.987%—which means about 1 hour of total downtime for all our customers last year. That’s way lower than the industry average, and it’s not by accident. We don’t cut corners on testing, we don’t overpromise, and when stuff does go wrong (which it will, no one’s perfect), we own it immediately and fix it fast.
Wait, let’s talk about common myths here, because I hear them all the time. First myth: “A higher availability percentage is always better.” Yeah, but only if it’s calculated fairly. If a vendor says 99.99% availability, that’s about 5 minutes of downtime a year. But if they count planned maintenance (like updates we all need) as downtime, that number drops. We never count scheduled maintenance against availability—we always do it during off-peak hours, like 2 a.m. on a Sunday, and we send customers a heads up a week in advance, no surprises. That’s the kind of thing that matters. Second myth: “Small APIs don’t need to worry about availability.” Even if you have 10 users, if your API is down when one of them needs it, that’s 100% availability issues for that user. We had a customer who’s a solo developer building a personal project—last quarter, our API had a 10-minute blip, and he told us that set his project back a week. So yeah, size doesn’t matter—availability matters no matter how many people are using your API.
Another thing: when you’re choosing an API vendor, don’t just look at their availability percentage. Ask them how they calculate it. Ask them what counts as downtime. Ask them what their failover process is like, how fast they fix issues, and how they communicate when things go wrong. We post all our uptime reports on our status page every single week—anyone can check it, no login required. If our availability drops below our guaranteed number, we offer service credits automatically, no hoops to jump through. That’s how we build trust, right? Because at the end of the day, we’re not just selling code—we’re selling reliability. We know our customers’ businesses depend on our API, and if we mess up, we mess up theirs. That’s why we take this so seriously.
Let’s circle back to that e-commerce shop I mentioned earlier. He switched to our API last year, right after the Black Friday disaster. Now, he’s getting 99.99%+ availability, even during peak times like holiday weekends. Last month, he had a flash sale for his new line of hoodies, and over 10,000 people tried to buy in 2 hours. Our API handled every single request without a glitch. He sent us a message saying we saved his holiday sales, and that’s the stuff that makes all the late nights testing and monitoring worth it.
So, to wrap this up simply: API availability is how often an API works when it’s supposed to, for the people using it. It’s not just a buzzword for tech guys—it’s what keeps small businesses running, what makes apps work when you need them, what keeps you from missing your delivery window or your favorite show’s next episode. If you’re a business that relies on APIs, or a developer building something cool, availability should be at the top of your list when choosing a vendor. And if you’re tired of API glitches costing you time and money, we’re here to help—no jargon, no fine print, just a reliable API that works when you need it.
If you’re ready to chat about how our API can fit your needs, feel free to reach out to our team to talk through your use case, ask questions, or get a custom quote. We’re always here to help.
Peptides References
- Cloud Native Computing Foundation. (2022). API Availability Best Practices for Modern Applications.
- MuleSoft. (2023). The State of API Reliability 2023.
- Google Cloud. (2022. Understanding API Availability and Uptime Metrics.
- OpenAPI Initiative. (2021). API Design Guidelines for High Availability.
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