Event-based discovery for large K8s<!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: #000000; } span { font-size: 12pt; font-family: Lato; color: #000000; } h2 { font-size: 24pt; font-family: Lato; color: black; } h3 { font-size: 18pt; font-family: Lato; color: black; } h4 { font-size: 14pt; font-family: Lato; color: black; } a { font-size: 12pt; font-family: Lato; color: #00718F; } a:hover { font-size: 12pt; color: #024F69; } a:target { font-size: 12pt; color: #6e9db4; } a:visited { font-size: 12pt; color: #7057C7; } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: block; max-width: 500px !important; width: auto; height: auto; } } For large Kubernetes (K8) clusters, pattern-based discovery can sometimes impact the Kubernetes API server. As an alternative, you can use the Kubernetes Visibility Agent. This library efficiently brings all required resources and stores them in memory. From there, it ingests changes and updates the memory data structure. Once a day the program sends the whole picture to cover for any changes that may have been missed. This is sent in multiple chunks and throttled in a way the instance can handle it. For more information see the product documentation on the Kubernetes Visibility Agent.