Google Cloud

Data and Databases

Google Cloud - Data and Databases

 

Google Cloud - Data and Databases

Relational databases continue to dominate the application storage market by around 2:1 versus NoSQL equivalents and this doesn’t look to be changing soon, with many Enterprise Application Architectures wedded to the relational engines. However, this doesn’t mean that there isn’t an opportunity to optimise through migration to Google Cloud Platform (GCP).

There are 3 primary database groups that you can run in GCP:

Enterprise vendor:

  • Microsoft SQL Server & Oracle RDBMS

Open Source

  • MySQL (and variants) & PostgreSQL

GCP native

  • Cloud SQL & Cloud Spanner

Microsoft and Open Source can be run through a number of means:

  • Via optimised VM images on Compute Engine (IaaS)
  • Managed instance through Cloud SQL (PaaS)

Oracle is restricted through its licensing policies however, it can still be deployed through the following means:

  • Via optimised VM images on Compute Engine where an Enterprise Agreement (EA) or Unlimited Licence Agreement (ULA) is in place
  • Via bare metal instance “close to” the Google Cloud Platform (within 1 millisecond latency)

Migration Assessment

As part of a migration assessment, DSP-Explorer will review the current application architecture and make recommendations on the following areas:

  • Improve performance
  • Improve resilience / high availability
  • Architect for scale
  • Modernise through upgrade and consolidation
  • Real time analytics and Machine Learning integration

Taking advantage of standard GCP availability and performance features may also reduce existing support costs, for instance encryption as Google is encrypted by default at rest.

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Why DSP

DSP-Explorer have a 20 year pedigree in database architecture and support and can work with you to reduce cost and complexity, whilst improving performance. Why not book a ½ day workshop / modernisation assessment to see where you could improve.

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