Dynatrace Kubernetes Monitoring vs Glances

Dynatrace Kubernetes Monitoring tracks the health, performance, and security of containerized applications and multi-cloud infrastructure using metrics, traces, and logs. It discovers Kubernetes nodes and pods and brings their metrics, events, and logs into one view. Kubernetes alerting is included, and Monitoring as Code supports GitOps practices. Exploratory and predictive analyses help identify cluster utilization and workloads that consume too many or too few resources. Application insights include distributed tracing, code-level profiling, deployment validation, and automatic identification of root causes and impact. Listed environments include Amazon EKS, Azure AKS, Kubernetes, Google GKE, Red Hat OpenShift, and Rancher Kubernetes Engine. Setup installs Dynatrace Operator with Helm or a manifest and requires access from Dynatrace pods to the environment URL. Monitoring is licensed by pod-hours and requires a Dynatrace Platform Subscription. The 15-day trial applies to the platform; there is no free plan. The new Kubernetes experience requires a SaaS environment powered by Grail and AppEngine, and is unavailable for Managed or non-Grail SaaS environments.

Glances is a free, open-source, cross-platform tool for monitoring real-time system statistics and running processes. Its listed coverage includes CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts, and uptime. Client/server mode enables remote monitoring through a terminal, web interface, or API, while its built-in web UI lets users view a system from a browser-equipped device. Statistics can be exported to CSV or JSON files, databases such as InfluxDB and Prometheus, brokers such as RabbitMQ and Kafka, or a REST endpoint. The project documents Docker and Podman support and describes Docker and LXC container monitoring in its README. Installation options include pip, pipx, Homebrew, Linux and FreeBSD packages, and Docker images. Glances 4 requires Python 3.10 or higher. Its default installation does not include web interface dependencies; separate extras cover features such as web, GPU, containers, exports, and MCP. Version 4.5.1 and higher can provide an MCP server for AI assistants. The project uses the LGPL version 3 license.