Create a database in Google Cloud using Cloud SQL, compare Cloud SQL to RDS, and learn the admin API. I've found that the strength of Google Cloud's services comes from consistently delivering across a few key metrics, namely reliability and performance.
I've found that the strength of Google Cloud's services comes from consistently delivering across a few key metrics, namely reliability and performance. When dealing with SQL databases, it's hard to imagine any metrics more important than these two things, and Google's Cloud SQL delivers.
To become familiar with Cloud SQL, we're going to walk through the creation of a SQL database and explore the advantages Google Cloud offers us when compared to other solutions. We'll also be dipping into the Cloud SQL API to see how we might manage our SQL database programmatically.
There aren't many metrics to consider when comparing Cloud database instances aside from price and performance. I've found Cloud SQL to come in on the higher end of both these metrics.
Google Cloud's databases tend to clock in at the higher end of performance benchmarks. To demonstrate, I'm going to borrow a quick comparison of GCP vs AWS cloud databases:
When compared to AWS RDS (green), GCP SQL instances (purple) clock in at better performance speeds across the board. There are other metrics we could compare, but chances are you're going to go with the database of whichever cloud vendor you're locked in with anyway.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Mismanagement of multi-cloud expense costs an arm and leg to business and its management has become a major pain point. Here we break down some crucial tips to take some of the management challenges off your plate and help you optimize your cloud spend.
If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out.
In this Lab, we will configure Cloud Content Delivery Network (Cloud CDN) for a Cloud Storage bucket and verify caching of an image. Cloud CDN uses Google’s globally distributed edge points of presence to cache HTTP(S) load-balanced content close to our users.
Operations Suite (Stackdriver) is a hybrid monitoring, logging, and diagnostics tool suite for applications on the Google Cloud Platform and AWS. Cloud Operations Overview for Google Cloud Professional Architect.