Cloud Computing Patterns, Mechanisms > Containerization Patterns > Multi-Container Isolation Control
Multi-Container Isolation Control (Erl, Naserpour)
How can the isolation level required by different cloud services in containers be met?
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Problem
Cloud service deployments may end up residing in containers that have specific deployment location requirements that, when not adhered to, can cause conflicts and runtime processing problems.
Solution
A control mechanism is used to dictate where each cloud service or container can or cannot be deployed, based on pre-defined rules. Often factors, such as performance, licensing, governance and regulatory requirements are the basis of these rules.
Application
The control mechanism is created by defining affinity and anti-affinity rules and enforcing them at runtime. The control mechanism can comprise multiple rulesets and can be applied to a single cloud service or container and a single or multiple hosts, or a combination of different cloud services, containers and hosts.
Mechanisms
Compound Patterns
Burst In, Burst Out to Private Cloud, Burst Out to Public Cloud, Cloud Authentication, Cloud Balancing, Elastic Environment, Infrastructure-as-a-Service (IaaS), Isolated Trust Boundary, Multitenant Environment, Platform-as-a-Service (PaaS), Private Cloud, Public Cloud, Resilient Environment, Resource Workload Management, Secure Burst Out to Private Cloud/Public Cloud, Software-as-a-Service (SaaS)
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Containers A and B need to be isolated on two different physical hosts.
This pattern is covered in CCP Module 5: Advanced Cloud Architecture.
For more information regarding the Cloud Certified Professional (CCP) curriculum, visit www.arcitura.com/ccp.