Private IPs
1. Private IPs
person: Another security feature you can use with Dataflow is disabling external IP usage. This blocks the workers from accessing the internet, thus securing your data processing infrastructure. By not using public IP addresses for your Dataflow workers, you also lower the number of public IP addresses you consume against your in-use IP address quota. With public IPs turned off, you can still perform administrative and monitoring tasks on Dataflow. By default, the Dataflow service assigns workers both public and private IP addresses. When you turn off public IP addresses, the Dataflow pipeline can access resources only in the following places: another instance in the same VPC network, a shared VPC network, or a network with VPC network peering enabled. If your pipeline is communicating with other Google services and APIs and is in a custom network, Private Google Access must be enabled for the subnetwork your worker will be launched in. If you disable Private Google Access and have no other way of reaching the internet, such as Cloud NAT, the VM instances can no longer reach Google Cloud APIs and services. To use private IPs only, two flags need to be added. The first flag to specify is either the network or subnetwork the workers should run in. The second flag, no_use_public_ips, lets Dataflow know that you want to launch the workers with internal IP addresses only.2. Let's practice!
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