Technology Operating Models for Cloud and Edge by Ahilan Ponnusamy & Andreas Spanner

Author:Ahilan Ponnusamy & Andreas Spanner
Language: eng
Format: epub
Publisher: Packt
Published: 2023-01-15T00:00:00+00:00

Figure 5.9 – Traffic originating in Germany destined for a German website travels to the US and through US-owned infrastructure

Does your business benefit from cloud reversibility? That is, is your data, operations, and infrastructure layer abstracted so that it is possible to rebuild your entire application stack, including data, compute, and networking, in a different location via automation? This must include your engineering and release and deployment processes. Hence, your tooling needs to support hybrid multicloud and edge locations, independent of the technology provider. Some customers of ours regularly rebuild their tech stack every 60 to 90 days. This approach can also be reutilized if cybersecurity breaches occur or intrusions are detected as it allows for rebuilding, and increasing monitoring efforts while investigating what happened.

If confidential computing is part of your workloads, your operating model will have provision for that, too.

If you build your platform on managed services and even if those managed services are “borrowed” from the open source community, do you know what the additional operational source code, processes, and data look like? Can that managed search service still be regarded as open source?

All in all, there are many different viewpoints that organizations can look at within your platform dimension.

To conclude, this dimension’s concerns should cover disconnected platform operations, isolation requirements and the available multi- and single-tenancy models, environments across virtualized, bare-metal, on-premises, and third-party managed implementations, workload requirements for HPC, low latency, GPU, TPU, and other specialized workloads, environment specifications (ideally as code), operations only environments to test emerging procedures (in an SRE context, for example), build quality control for environments, including necessary verification testing, environment profiles supporting workload categorization, and associated requirements, control plane endpoints, cost management, and the control plane.

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