This week, AWS announced a new version of AWS Glue that promises to make data integration faster and more cost-effective. While that’s impressive, we’re more interested in the underlying challenge: how to reliably move data across systems, especially when timing and consistency matter. At Apex Grid, we’ve wrestled with a similar problem in our publishing pipeline - specifically, how to balance the need for scheduled content with the immediacy of real-time updates.
We run a hybrid publishing system. Some content is scheduled - think social media posts that go out at optimal times for different timezones - while other content, like long-form articles, is published immediately, often triggered by a cron job or an event. This duality introduces a subtle but critical problem: managing canonical URLs across different publishing channels and timelines.
In a perfect world, every piece of content would have a single, unchanging URL. But when you publish the same article both immediately and later as part of a scheduled post, you end up with multiple URLs pointing to the same content. This breaks the web’s expectations around link consistency and SEO, and it complicates analytics when you’re tracking user engagement across platforms.
Our approach to solving this has been to introduce a canonical URL system that dynamically resolves to the correct version of the content based on context. Here’s how it works in practice:
def get_canonical_url(article_id, context):
# context can be 'social', 'web', or 'email'
if context == 'social':
# return scheduled version
return f"https://apexgrid.com/social/{article_id}"
elif context == 'web':
# return the original, long-form version
return f"https://apexgrid.com/articles/{article_id}"
else:
# fallback or other contexts
return f"https://apexgrid.com/articles/{article_id}"
This function isn’t magic. It relies on a backend mapping system that tracks all versions of an article and their associated contexts. Every time a new version is published - whether scheduled or immediate - we update this mapping. When a user clicks on a link, the system resolves the canonical URL in real time, ensuring they land on the correct version of the content.
But this isn’t without tradeoffs. Managing multiple URLs increases complexity in our CMS and affects caching strategies. We’ve had to invest in a robust URL resolver that can handle edge cases, like when a scheduled post is published early or when an immediate post is later rescheduled. It also requires careful coordination with our analytics team to ensure that user behavior is tracked consistently across all versions.
Despite these challenges, the hybrid model has proven valuable. It allows us to maintain the immediacy of our long-form content while still leveraging the power of scheduling for social media. It’s a balance that’s not easy to achieve, but it’s one we’re confident in.
Looking ahead, we’re working on a more intelligent version of this system that can automatically detect when a scheduled post is no longer needed - for example, if an article is updated and the scheduled version is now obsolete. We’re also exploring ways to unify our content models further, so that the distinction between scheduled and immediate publishing becomes less of a technical burden and more of a strategic choice.
