Lightweight isolation

As explained in Kubernetes for Developers

Lightweight isolation separates application processes and their dependencies without duplicating an entire operating system for each application.

Lightweight isolation separates applications and their dependencies without duplicating an entire operating system for each workload. Containers share a host kernel while keeping libraries, packages, and resource usage apart. section 1.1.1

Containers provide isolation with practical deployment advantages:

• Keep different library versions, languages, base operating systems, and package managers from interfering with one another. section 1.1.1
• Use fewer image, CPU, and memory resources than virtual machines, which duplicate the kernel and much of the operating system. section 1.1.1
• Limit container resource usage on Kubernetes so more applications can share a host. section 1.1.1

Mixed dependencies on one host

One container can use Ubuntu with APT while another uses CentOS with RPM; separate services can also use different Java versions without shared-library conflicts. section 1.1.1

Figure 1.3 Four containers running on the same host, fully isolated but sharing the kernel

Shows containers running on one host, isolated from one another while sharing the kernel. section 1.1.1

How Kubernetes for Developers covers it

How deep it goes

Explains dependency separation, shared kernels, virtual-machine overhead, and Kubernetes resource limits without detailing isolation internals.

Examples

Uses Ubuntu with APT, CentOS with RPM, differing Java versions, and multiple containers sharing one host.

What you can do after

Apply isolation through containers and configure Kubernetes resource limits for shared hosts.

How it connects

Connects containers with virtual machines, microservices, dependency management, and Kubernetes resource limits.

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This explainer was generated by Manning's knowledge graph from the text of Kubernetes for Developers. The section links point to the parts of the book it draws on.