Complex architectures, pressures to deploy faster, and demand for optimal performance have placed greater strain on monitoring teams and as a result, an increasing number are looking to implement more advanced monitoring techniques. Part of the initial challenge around this is understanding what advanced monitoring techniques actually are. In this article, I help clarify this by differentiating basic and advanced monitoring, with examples on how each would be applied to Postgres monitoring.

Whether you’re just beginning your monitoring journey or are a seasoned pro, being reminded of monitoring’s core principles is still helpful. From my own experience as a former SRE to what I’ve seen from our customers at Circonus, here are 10 essential monitoring tenets to live by.

In our era of rapid release cycles, engineers make frequent API updates in an effort to constantly improve user experiences. But while updates are designed with user benefits in mind, they can also have the opposite effect — potentially creating new performance issues. Ensuring that your APIs are meeting performance requirements and SLOs as you release new updates is dependent on correctly monitoring API latencies.

We’re pleased to share that Circonus saw record sales for the quarter ending June 30, 2021 and substantial year-over-year growth in annual recurring revenue (ARR). We’re experiencing significant momentum in 2021 as more organizations look to consolidate monitoring solutions, unify observability metrics across the stack, and manage a significantly greater volume of telemetry data.