The new styles are deployed, but some people still see the old version. Find out which cache layer has not updated.
Help me clarify this product article's title, body hierarchy, and links so both readers and search engines can understand it.
Keep the product's campaign URLs accessible, but declare the parameter-free URL as canonical and use it in the sitemap.
The new article is live but has few internal links. Generate a sitemap.xml containing only valid canonical URLs.
Limit crawler access to duplicate filter paths, but do not use robots.txt as permission for the admin area.
This article URL no longer exists. Make a real 404 page that still lets people return to the article list.
I know a secret key shouldn't go in the code. Where should I put it?
I finished the site. How do I make it available at a URL that other people can open?
Confirm that this project has hosting that can continuously serve the site, then deploy it publicly. Do not treat localhost as live.
Send this CI-passing version to testing first; production needs human approval unless we explicitly choose continuous deployment.
Deploy the candidate to staging with production-like configuration and de-identified order data; do not run destructive verification in production.
After release, monitor login error rate and checkout success rate; alert above a threshold and show which version was running then.
When a new version sends login error rate sharply up, roll back to the last known-good version; then confirm both running version and metrics recover.
Open the new recommendation feature to employees first; if error rate rises, turn off the new path immediately without redeploying.
Send 5% of users to the new release first; expand only while error rate stays healthy, and return to the stable release on anomaly.
Keep blue serving while deploying and accepting the new release on green; switch production traffic only after it passes.
I only have a small feature. Is there a way to run code on demand without buying or managing a server?
There's an error in production. Where can I see what happened on the server?
The payment dependency keeps timing out. Stop making every request wait, fail fast or degrade, and probe it again after a pause.
Run this service as one instance and explain the short outage during restart, while separating in-memory task risk from durable data.
Run several instances to share requests, but keep users logged in when their next request reaches another instance.
The terminal printed a long error. Which line should I send to the AI?
I clicked save and it spins forever, then says the request timed out. Is it the network or the server?