The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
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.
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.
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.
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.
When we make a request to your site to verify that your site is up, the response of your server will contain certain headers. We can verify that those headers contain the values you expect. If these expectations are not met, we'll consider your site as down. In the "Responses" section of the uptime settings page, you can specify which headers we should verify. You could add this expectation to ensure your page uses gzip compression.
What is the difference between logs and events in observability? These two telemetry data types are used for different purposes when it comes to exploring your applications and how your users interact with them. Simply put, logs can be used for troubleshooting and root cause analysis, while events can be used to gain deeper application insights via product analytics. Let's review some application telemetry data definitions for context, then dive into the key differences between logs and events and their use cases. Knowing more about these telemetry data types can help you more effectively use them in your observability strategy.
