Quest Software,
a global systems management, data protection and security software
provider, today announced the introduction of Foglight Container
Management, a solution that provides real-time and historical analytics
of containers and its hosts across physical, virtual and cloud
environments. Foglight Container Management supports business's
container initiative by empowering IT infrastructure teams to quickly
identify incidents and proactively prevent issues from happening. With
Foglight Container Management, businesses can make faster, smarter
decisions when it comes to container deployment.
The application container market is growing, with 451 Research reporting
that the market will be worth more than $4.3 billion in revenue in
2022. However, for many teams, the onboarding, operation and support of
containerizing applications can be a struggle. With Foglight Container
Management, all three can be done with ease, whether related to Docker,
Kubernetes or other approaches. It gives IT teams a clear view into the
company's container environments and empowers them to make smart
decisions that eliminate wasted resources and saves time and money.
"IT organizations increasingly aim to modernize application
deployment and management through the use of containers, but many have
trouble managing containers at scale as it has typically required using
disparate tools to do it well," said Adrian Moir, senior consultant,
product management, Quest Software. "With Foglight Container Management,
IT teams now have access to real-time and historical container
analytics in one place, giving these teams the monitoring metrics needed
to effectively drive successful and sustainable container deployment
strategies."
Foglight Container Management identifies performance bottlenecks,
failed containers and issues within the orchestration layer and keeps
container data in-context with the supporting infrastructure. This
unique approach helps infrastructure teams both ensure optimal container
performance and assimilate container technology more easily by removing
the guesswork and hours of troubleshooting within a container compute
and storage platform.
Foglight Container key features include:
- Kubernetes Monitoring: Collects inventory,
infrastructure, OS, host, cluster, node, pod and orchestration data via
remote APIs. Also collects data from the underlying Cloud IaaS or
on-premises hypervisors.
- Docker Swarm Monitoring: Collects data from all
Docker components, clusters, hosts and containers as well as the
supporting physical, virtual or cloud infrastructure.
- Dependency Mapping: When used with Foglight for
Virtualization, administrators can capture accurate performance metrics
for both VMs and containers. If the supporting infrastructure is
impacting container performance, administrators can quickly jump to the
supporting domain to 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 catch resource hogs.
- Container Scatterplot: Allows users to pivot Docker hosts, clusters and containers across any collected metric by three different dimensions.