Want to know how much website downtime costs, and the impact it can have on your business?
Find out everything you need to know in our new uptime monitoring whitepaper 2021



StatusCake is unique in it’s offering of New Zealand Website monitoring. We have test locations around the globe and one of these locations is Auckland. You can select Auckland on any of our paid plans which start from as little as $24.99 – that’s around 37 NZD.
If you are a New Zealand based business does it really matter to you that your website is up in Netherlands if it’s down in your home country? There are hundreds of reasons why your site might be accessible from elsewhere on the globe but not to your next door neighbour – this includes DNS issues, poor cable routing and so on.
Even if your site isn’t down you’re not going to be able understand how well it’s performing if your relying on website monitoring from thousands of miles away. When you use our Auckland test location you can get an accurate representation of how quickly your website loads for other New Zealanders.
The Auckland datacentre we use for testing is designed and engineered to the highest standards. We are located in the Vocus datacentre meaning you can be certain of a quality testing service.
For 37 NZD a month you can rest assured that you know about downtime before your users. This means you are able to respond much quicker to any issues reducing the amount of time you are down for. If the downtime is outside of your control it still means you are able to take to social networks to inform your customers you are aware of the issue – thus ensuring a professional service. We’d take a bet your company’s reputation is worth more than $37 NZD!
Share this
3 min read In a previous post, The Incident Checklist: Reducing Cognitive Load When It Matters Most, we explored how incidents stop being purely technical problems and become human ones. These are moments where decision-making under pressure and cognitive load matter more than perfect root cause analysis. When systems don’t support people clearly in those moments, teams compensate.
4 min read In the previous post, we looked at what happens after detection; when incidents stop being purely technical problems and become human ones, with cognitive load as the real constraint. This post assumes that context. The question here is simpler and more practical. What actually helps teams think clearly and act well once things are already
3 min read In the previous post, we explored how AI accelerates delivery and compresses the time between change and user impact. As velocity increases, knowing that something has gone wrong before users do becomes a critical capability. But detection is only the beginning. Once alerts fire and dashboards light up, humans still have to interpret what’s happening,
5 min read In a recent post, I argued that AI doesn’t fix weak engineering processes; rather it amplifies them. Strong review practices, clear ownership, and solid fundamentals still matter just as much when code is AI-assisted as when it’s not. That post sparked a follow-up question in the comments that’s worth sitting with: With AI speeding things
4 min read Why strong reviews, accountability, and monitoring matter more in an AI-assisted world Artificial intelligence has become the latest fault line in software development. For some teams, it’s an obvious productivity multiplier. For others, it’s viewed with suspicion. A source of low-quality code, unreviewable pull requests, and latent production risk. One concern we hear frequently goes

3 min read IPFS is a game-changer for decentralised storage and the future of the web, but it still requires active monitoring to ensure everything runs smoothly.
Find out everything you need to know in our new uptime monitoring whitepaper 2021