Operations | Monitoring | ITSM | DevOps | Cloud

Today marks a big milestone in our mission to bring more data, more context, and more visibility into a single, unified view. We’re excited to announce 16 brand‑new integrations, extending the range of data sources you can connect with just a few clicks. But the integrations themselves are only half the story.

In a modern observability deployment, it’s simple to get data that helps you understand where your system is failing. However, when we try to understand why, the answer is often buried beneath a mound of stack traces. For many developers, attempting to interpret a flame graph by manually calculating self-time (the resources consumed by the function itself) versus child-frame latency (the time spent waiting on called sub-functions) is both confusing and time-consuming.

DNS records are instructions that tell the internet how to handle your domain. They store details like your website’s IP address, email servers, and security settings. When someone visits your site or sends you an email, DNS records guide the request to the right server. Without correct DNS records, websites can break, and emails can fail. Many tools let you check DNS records, but not all provide clear, reliable results. Some tools show only basic records, while others provide deep insights.

You can now add healthcheck and cron job monitors directly to your status pages. Until now, status pages only supported HTTP monitors and browser checks. You can now display the status of your background jobs, scheduled tasks, and internal services right next to your existing monitors. Head to your status page settings to add healthchecks to your sections. Questions? Reach out via in-app chat or email us at hello@hyperping.io.

Our documentation, FAQ, and blog posts can now be served as clean markdown to AI agents. Send Accept: text/markdown or append.md to the URL, and you get structured content instead of a full HTML page. It worked great in development. Then we deployed, and two separate caching layers broke everything.

Distributed tracing doesn’t just show you what happened. It shows you why things broke. While logs tell you a service returned a 500 error and metrics show latency spiked, only traces reveal the full chain of causation: the upstream timeout that triggered a retry storm, the N+1 query pattern that saturated your connection pool, or the missing cache hit that turned a 50ms call into a 3-second database roundtrip.

On February 10, 2026, Amazon Web Services (AWS) experienced an outage that triggered widespread reports of CloudFront failures and DNS resolution issues. While AWS later acknowledged the incident, StatusGator detected the disruption earlier using Early Warning Signals, giving customers valuable lead time before the provider confirmed anything publicly.

We shipped a small improvement to monitor filtering to make it easier to stay organized — especially if you’re managing a board with a lot of monitors.

Slow loading times, frustrated clicks, and silent crashes can cause users to leave your app in just three seconds.

Cloud observability is a must for IT teams operating in modern digital economies. It allows administrators to see inside complex systems, understand how each component behaves under real conditions, and act before users or regulators feel the impact. In simple terms, observability transforms digital infrastructure from a black box into a transparent, accountable, and resilient system.