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VMs, Containers

The "cloudification" of telco and enterprise networks is happening, like most evolutions, unevenly. As cosmologists would say about the universe, it started smooth and got lumpy. According to the hype, we should all be on a smooth evolutionary path to cloud-native applications, virtualized infrastructure and serverless deployments. But there are gravitational forces at work that are making lumps in our cloud-native universe.

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The ideal of microservices running in containers is great. Breaking up applications into their smallest components, independent and loosely coupled, allows development teams to easily change or upgrade one microservice without having to redeploy the entire application. It also speeds up testing by making it possible to release the microservice and watch how it performs in a sandboxed environment, without affecting the running application. In the best use case, it is possible to fully upgrade, test and redeploy a microservice without ever taking the application offline.

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This is the software equivalent of hot swapping, which has long been a requirement of the most mission-critical hardware systems. It also enables agile development, allowing for fast failure and iterative development of new features. When run on bare metal servers, containers are also much more efficient at using the cloud infrastructure. Essentially, they dispense with the processing overhead of the hypervisor.

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But not all virtual network functions (VNFs) will go this route. Some VNFs are relatively stable and don't need as high a degree of flexibility, such as the virtual Evolved Packet Core (vEPC), whereas others really benefit from being re-written to take full advantage of microservices and containers, such as cloud RAN.

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As you scan across the highly complex world of networking, you will see variations of the trade-off theme played out in multiple dimensions. Beyond the VNFs and what they actually need, there is also the level of effort already invested into infrastructure that supports non-containerized workloads running in VMs. And there is, of course, the extra effort that would be involved by vendors to re-write existing code to support a microservices architecture (MSA), as well as the effort to install and manage bare-metal environments to host containers.

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