Discover and read the best of Twitter Threads about #GoogleCloudPlatform

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The evolution of data processing frameworks.

Knowing how these frameworks have evolved can help you understand the typical problems that arise, and how they're addressed.

As the Internet grew, Google invented new data processing methods.

🧵

#GCP #google @google @googlecloud
In 2002, Google created GFS, or the Google File System to handle sharding and storing petabytes of data at scale.

GFS is a foundation for cloud storage, and also for what would become BitQuery managed storage.

🧵

#GCP #google @google @googlecloud
One of the next challenges was to figure out how to index the exploding volume of content on the Web.

To solve this, in 2004 @Google invented a new style of data processing (MapReduce) to manage large scale data processing across large clusters of commodity servers.

🧵

#GCP
Read 9 tweets
A long thread on understanding Google Cloud Platform Compute Engine pricing and how to utilize the various pricing levers at your disposal via the Google Cloud Cost Calculator. Let’s go. (contd)

#GoogleCloudPlatform #ComputeEngine #Pricing #GCPCostCalculator
Google Compute Engine provides a core infrastructure component : Virtual Machines (VM) that are classified into diff families (general, memory optimized, compute optimized) & each family has various machine types. See this guide on how to choose :cloud.google.com/compute/docs/m… (contd)
Each of the machine types (e.g. N1 general purpose) will have several *fixed* or *pre-defined* configurations (instance types) of VPU and RAM. You can choose the appropriate instance types. A set of instance types for N1 is shown below: (contd)
Read 25 tweets

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