When it comes to observability, traditional monitoring solutions fall short because they collect metrics, logs, and alerts in silos—but leave correlation and smart inline aggregation to DevOps, SREs, and security and platform teams. This becomes complex and difficult to manage on distributed deployments using host, VMs, containers, and microservices.
With Calico, practitioners get high-fidelity visualization of activities, deployment health, and communication between components—all with built-in context—allowing them to quickly pinpoint the source of a problem. Smart, inline, correlated data combined with machine learning provides analytics showing baseline trends, as well as alerts based on deviations.
Join us to learn how to perform live troubleshooting and anomaly detection for your Kubernetes deployments in less than 30 minutes. In this webinar, you will learn how to:
– Speed up problem identification and troubleshooting with a live view of communication between namespaces, microservices, and deployments
– Take corrective actions such as implementing security policy based on live observability
– Detect and prevent anomalous behaviors such as attempts to access applications and restricted URLs, and scans for particular URLs
– Use Dynamic Packet Capture for live troubleshooting of service-to-service connectivity issues
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