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



Recently we released a brand new feature on StatusCake called Blacklist Monitoring which our customers can use to check if their website has been added to various internet blacklists which many users incorporate into their browsing experience to avoid spam and malware. we have added 15 of the biggest lists to our selection to start, with plans to include more in the near future.
Blacklist Monitoring is an excellent tool for helping to protect the integrity of your website. You can make sure that customers are never dissuaded or prevented from gaining access, and that damaging effects on reputation are picked up and resolved quickly – in short, enabling Blacklist Monitoring on all of your tests gives you even more peace of mind while using the Statuscake service.
In order to use Blacklist Monitoring you just need to create a new test, or edit an existing one. Once you have done this, you should go to the test settings page and scroll down until you see the option to enable the feature, you can also enter a blacklist IP if you want to check an internal service that differs to the test URL. After completing this action, simply submit the test, and you will then be able to view the data on the test details page.
Share this
3 min read In the previous posts, we’ve looked at how alert noise emerges from design decisions, why notification lists fail to create accountability, and why alerts only work when they’re designed around a clear outcome. Taken together, these ideas point to a broader conclusion. That alerting is not just a technical system, it’s a socio-technical one. Alerting
3 min read In the first two posts of this series, we explored how alert noise emerges from design decisions, and why notification lists fail to create accountability when responsibility is unclear. There’s a deeper issue underneath both of those problems. Many alerting systems are designed without being clear about the outcome they’re meant to produce. When teams
3 min read In the previous post, we looked at how alert noise is rarely accidental. It’s usually the result of sensible decisions layered over time, until responsibility becomes diffuse and response slows. One of the most persistent assumptions behind this pattern is simple. If enough people are notified, someone will take responsibility. After more than fourteen years
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,
Find out everything you need to know in our new uptime monitoring whitepaper 2021