Many IT organizations aim to modernize and “cloud architect” application deployment and management through the use of containers. These standard units of software package up code and all its dependencies so applications can be quickly deployed, scaled and, if needed, reliably migrated from on-premises to a public cloud. Foglight Container Management ensures your ability to onboard, operate and support containerization without the struggle. Learn More.
Foglight Container Management makes using containers significantly easier by providing real-time and historical analytics of containers and their hosts, across physical, virtual and cloud environments. This container management tool identifies performance bottlenecks, failed containers and issues within the orchestration layer.
Foglight Container Management keeps container data in-context with the supporting infrastructure. This unique approach helps infrastructure teams assimilate container technology more easily by removing the guesswork and hours of troubleshooting normally associated with contention within a container compute and storage platform.
The co-operation and data sharing typically required from DevOps is often impacted by using disparate tools. Foglight Container Management provides a common toolset for infrastructure and application IT staff to see containers in-context with the infrastructure that supports them. With Foglight Container Management, you can ensure optimal container performance through real-time and historical metrics on shared commute performance.
Collects inventory, infrastructure, OS, host, cluster, node, pod and orchestration data via a remote APIs. Also collects data from the underlying cloud IaaS or on-premises hypervisors.
Gathers data from all Docker components, clusters, hosts and containers, as well as the supporting physical, virtual or cloud infrastructure.
Captures accurate performance metrics for both virtual machines and containers when used with Foglight for Virtualization. If the supporting infrastructure is impacting container performance, you can isolate the issue.
Provides a view into real-time and historical usage of resources (containers, clusters and hosts) and makes it simple to eliminate resource hogs.
Allows you to pivot Docker hosts, clusters and containers across any collected metric by three dimensions (i.e. “Find containers with high CPU, high memory and color code the containers with high egress nstwork traffic.”
Pivot data from clusters, hosts and containers to highlight problems and contention
See the most accurate host data from physical, virtual or cloud IaaS
Simplify pod monitoring with real-time and historic tracking, transient and persistent
Customize performance metrics to show only what’s most important
Explore all data, now and in the past, with interactive scatter plots
Collect data even for telemetry and configuration
Monitor hosts, clusters and containers via remote APIs
View and customize metrics while instantly changing time ranges, ensuring you don’t miss trends
Dell's infrastructure engineering and operations (IEO) team is responsible for managing all of Dell IT's VMs — more than 22,000 of them. These VMs are distributed across 16 virtual centers anRead Case Study