Healthchecks recently gained a new feature: check auto-provisioning. When you send a ping request to a slug URL, and a check with the specified slug does not exist, Healthchecks can now automatically create the missing check. This feature requires opt-in: to use it, add a?create=1 query parameter to the ping URL.

Generally, data monitoring can be referred to as a continuous process of observing and tracking data in order to ensure its integrity, quality, and conformance with specific standards or requirements. Data monitoring often involves systematic data collection, analysis, and reporting to identify patterns, trends, anomalies, and potential issues.

Imagine a world where packets go on unexpected detours, performing an electrifying dance routine that challenges the order we hold dear. Sounds intriguing, doesn't it? In the realm of data transmission, order is king. But every now and then, our trusty packets decide to take a detour, throwing caution to the wind and leaving us scratching our heads. Fear not! Today, we embark on an exhilarating exploration to demystify the phenomenon of out-of-order packets, also known as packet reordering.

As a leading full-stack observability platform, Coralogix enables you to gather, monitor and analyze your infrastructure and application telemetry. And Coralogix now offers synthetic monitoring for proactive end-to-end testing across development with Checkly.

Maybe you came across the term “vector database” and are wondering whether it’s the new kid on the block of data retrieval systems. Maybe you are confused by conflicting claims about vector databases. The truth is, the approach used by vector databases has been around for a few years.