Foglight Container Management

Powerful container management and monitoring across your IT environment

Avoid the guesswork when using containers

Using containers to modernize application deployment is about to get a whole lot easier with Foglight Container Management. This powerful solution delivers real-time and historical analytics of containers and their hosts, across physical, virtual and cloud environments, giving you the container monitoring metrics needed to make the optimal choices when it comes to container deployment. Learn More.

Simplify the use of containers
Ensure optimal container performance
Maintain a common toolset to see containers in context

Container management without the struggle

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.

Simplify container management

Simplify container management

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.

Avoid hours of guesswork

Avoid hours of guesswork

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.

Ensure a common toolset

Ensure a common toolset

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.

Features

Kubernetes monitoring

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.

Docker swarm monitoring

Gathers data from all Docker components, clusters, hosts and containers, as well as the supporting physical, virtual or cloud infrastructure.

Dependency mapping

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.

Container heat map

Provides a view into real-time and historical usage of resources (containers, clusters and hosts) and makes it simple to eliminate resource hogs.

Container scatterplot

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.”

Specifications

  • Windows Server (2003, 2008 R2, 2012, 2012R2, 2016)
  • Linux ( Cent OS, RH Ent, Oracle, SUSE, Ubuntu)
  • Foglight Management Server
  • 4 vCPUs
  • 6 GB of memory
  • 120 GB of disk storage
  • VMware: VirtualCenter (VCMS) 2.5.x, vCenter Server and vSphere up to version 6.x, vCloud 5.5 and View 5.0 and higher, VMware Cloud on AWS
  • Microsoft Hyper-V: Windows Server 2008 R2 and higher
  • Kubernetes: Version 1.7 to version 1.12
  • Docker Swarm: Docker Engine, CE, EE 17.03
  • Azure Cloud Instances VM (ARM)
  • AWS EC2 Instances
  • Cloud Kubernetes Service,including:
    • Azure Kubernetes Service (AKS)
    • Amazon Elastic Container Service for Kubernetes (EKS)
    • Google Kubernetes Engine (GKE)
    • IBM Cloud Kubernetes Service

    Heat map data visualization

  • Pivot data from clusters, hosts and containers to highlight problems and contention

  • Automatic mapping to VMs

  • See the most accurate host data from physical, virtual or cloud IaaS

  • Pod performance

  • Simplify pod monitoring with real-time and historic tracking, transient and persistent

  • Deep dive into issues

  • Customize performance metrics to show only what’s most important

  • Extended visual analysis

  • Explore all data, now and in the past, with interactive scatter plots

  • Kubernetes configuration

  • Collect data even for telemetry and configuration

  • Docker swarm monitoring

  • Monitor hosts, clusters and containers via remote APIs

  • Deep dive telemetry

  • View and customize metrics while instantly changing time ranges, ensuring you don’t miss trends

Resources

Foglight Container Management
Datasheet
Foglight Container Management
Foglight Container Management
Real-time container management analytics across physical, virtual and cloud environments.
Read Datasheet
Foglight for Virtualization, Enterprise Edition
Datasheet
Foglight for Virtualization, Enterprise Edition
Foglight for Virtualization, Enterprise Edition
Visualize, analyze and optimize your virtual infrastructure
Read Datasheet
Planning migration to VMware Cloud with Foglight for Virtualization
Datasheet
Planning migration to VMware Cloud with Foglight for Virtualization
Planning migration to VMware Cloud with Foglight for Virtualization
Visualize, analyze and optimize your virtual infrastructure
Read Datasheet
Cloud Migration is More than Lift and Shift
White Paper
Cloud Migration is More than Lift and Shift
Cloud Migration is More than Lift and Shift
Preparing an application migration to the cloud? Check out these important considerations before you start!
Read White Paper
Tech company expects to save $1.4 million by optimizing VMs
Case Study
Tech company expects to save $1.4 million by optimizing VMs
Tech company expects to save $1.4 million by optimizing VMs

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 an

Read Case Study
Disaster Recovery’s Just the Beginning
White Paper
Disaster Recovery’s Just the Beginning
Disaster Recovery’s Just the Beginning
ActualTech explains how deep insight into your IT infrastructure at all layers makes it possible to anticipate problems, so you can take action before disaster strikes. Download this report today.
Read White Paper
Downtime Costs How Much? Calculating the business value of disaster recovery
E-book
Downtime Costs How Much? Calculating the business value of disaster recovery
Downtime Costs How Much? Calculating the business value of disaster recovery
This eBook provides ideas on how to quantify the value of disaster recovery to the business.
Read E-book
9 Steps to Disaster Recovery Planning
E-book
9 Steps to Disaster Recovery Planning
9 Steps to Disaster Recovery Planning
In this e-book, we start by highlighting the top business threats, and then offer nine steps you can implement to build a business oriented DR plan
Read E-book

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Real-time container management analytics across physical, virtual and cloud environments.