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



While not surprising, two reports in November confirmed the growing importance of mobile devices for accessing the internet. StatCounter, a Dublin-based web analytics company, announced that 51.3% of worldwide internet usage in October took place on tablets and mobile devices, compared to 48.7% on traditional desktops, marking the first time that desktop-based internet traffic was not in the majority.
Three days after StatCounter released their report, Google announced it was moving towards implementing a mobile-first indexing scheme. Google stated: “To make our results more useful, we’ve begun experiments to make our index mobile-first. Although our search index will continue to be a single index of websites and apps, our algorithms will eventually primarily use the mobile version of a site’s content to rank pages from that site, to understand structured data, and to show snippets from those pages in our results. Of course, while our index will be built from mobile documents, we’re going to continue to build a great search experience for all users, whether they come from mobile or desktop devices.”
Do not underestimate the significance of Google’s announcement. This indexing scheme is a major change, and you should make sure your website is ready when Google fully implements it to ensure your site doesn’t receive a lower search rank. Here are the answers to a few key questions about the proposed change.
If you’ve already designed your website to scale automatically for display on mobile devices and you display the identical information on both desktops and mobile devices, congratulations – you don’t have to do anything, assuming your page loading speed is not slow on mobile devices. Google uses page loading speed in its algorithm as one of the measures when determining search rank, so consider using a website monitoring service to ensure your site loads quickly and gets the search rank you deserve.
Google will implement mobile-first indexing incrementally over the coming months, so you have enough time to get your site ready. Upgrade your site using a responsive design that automatically adjusts to display properly on both desktops and mobile devices. Test your new site thoroughly before launching, and verify that Google’s search bot can index your mobile site.
What if you have separate desktop and mobile sites?
If you have two versions of your site, be sure your mobile version displays the same content as your desktop version. Submit both sites to Google for indexing, and be sure that Google’s search bot recognizes the mobile version of your site.
Consider implementing these suggestions as soon as possible, and over the next few months, keep checking on your search rank to be sure Google’s new indexing scheme has not adversely affected you. Use of mobile devices will continue to increase, so be sure you keep your website optimized for them. Whether you’re selling a product or providing information, don’t give yourself a competitive disadvantage by ignoring Google’s new initiative.
Share this
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,
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
Find out everything you need to know in our new uptime monitoring whitepaper 2021