June 2022
Beginner
450 pages
13h 34m
English
Content preview from Fundamentals of Data Engineering
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Appendix B. Cloud Networking
This appendix discusses some factors data engineers should consider about networking in the cloud. Data engineers frequently encounter networking in their careers and often ignore it despite its importance.
Cloud Network Topology
A cloud network topology describes how various components in the cloud are arranged and connected, such as cloud services, networks, locations (zones, regions), and more. Data engineers should always know how cloud network topology will affect connectivity across the data systems they build. Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS) all use remarkably similar resource hierarchies of availability zones and regions. At the time of this writing, GCP has added one additional layer, discussed in “GCP-Specific Networking and Multiregional Redundancy”.
Data Egress Charges
Chapter 4 discusses cloud economics and how actual provider costs don’t necessarily drive cloud pricing. Regarding networking, clouds allow inbound traffic for free but charge for outbound traffic to the internet. Outbound traffic is not inherently cheaper, but clouds use this method to create a moat around their services and increase the stickiness of stored data, a practice that has been widely criticized.1 Note that data egress charges can also apply to data passing between availability zones and regions within a cloud.
Availability Zones
The availability zone is the smallest unit of network topology that public clouds make ...
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