June 18, 2024


There might be appreciable friction in transferring databases from platform to platform. If you happen to’re doing a lift-and-shift to Google Cloud, your skill to make the most of cloud options slows down when it’s a must to deal with all of the intricacies of:

  1. Devising a migration technique for safely and effectively transferring knowledge (whereas managing downtime)
  2. Assessing the affect of the migration
  3. Database preparation
  4. Safe connectivity setup
  5. Information replication
  6. And migration validation

Past that, there could be handbook work to rewrite database code for a brand new engine or rewrite functions, and deep validation of facets like efficiency affect.

It goes with out saying that migration to the cloud is a posh course of with many transferring components and personas concerned, together with a community administrator to account for infrastructure/safety necessities like VPN. Most DBAs know that one of many largest dangers of migrating a database is downtime, which frequently prevents firms from taking up the heavy activity. Sometimes you shutdown the appliance, create a backup of the present database schema, carry out all required replace operations utilizing migration instruments, restart the appliance, and hope that every little thing works positive. 

However that adjustments if you happen to can’t settle for any downtime. PostgreSQL customers, for instance, usually have very massive databases, that means they’re going through hours of downtime, which for many firms isn’t real looking. 

Migration instruments as a quick observe

A lot of instruments can be found that will help you transfer knowledge from one sort of database to a different or to maneuver knowledge to a different vacation spot like an information warehouse or knowledge lake. Transferring crucial datasets — whole databases — requires the latest-generation cloud-based migration instruments that may deal with knowledge replication with ease, whereas offering enhanced safety. Whereas we’ve seen cloud-based migration instruments, like Alooma, Matillion, and Snaplogic, we additionally know cloud migration instruments have to combine effectively with each the supply and the goal techniques, enabling you emigrate databases with minimal effort, downtime, and overhead. 

In 2019 Alooma joined Google Cloud, bringing Alooma one step nearer to delivering a full self-service database migration expertise bolstered by Google Cloud know-how. Alooma helps enterprise firms streamline database migration within the cloud with an information pipeline software that simplifies transferring knowledge from a number of sources to a single knowledge warehouse. The addition of Alooma and their experience in enterprise and open supply databases has been crucial to bringing further migration capabilities to Google Cloud. Then, in November 2020, Google Cloud launched the brand new, serverless Database Migration Service (DMS) as a part of our imaginative and prescient for assembly these fashionable wants in a user-friendly, quick, and dependable method for migration to Cloud SQL. Whereas Alooma is an ETL platform for knowledge engineers to construct a versatile streaming knowledge pipeline to a cloud knowledge warehouse for analytics, DMS is a database migration service for DBAs and IT professionals emigrate their databases to the cloud as a part of their bigger migration targets.

Database Migration Service is now GA

Database Migration Service makes it straightforward so that you can migrate your knowledge to Google Cloud. It’s a totally managed service that helps you raise and shift your MySQL and PostgreSQL workloads into Cloud SQL. You possibly can migrate from on-premises, self-hosted in Google Cloud, or from one other cloud, and get a direct path to unlocking the advantages of Cloud SQL. The main focus of DMS is to handle the migration of your database schema, metadata, and the information itself. It streamlines the networking workflow, manages the preliminary snapshot and ongoing replication, offers a standing of the migration operation, and helps one-time and steady migrations. This allows you to reduce over with minimal downtime. 

That’s so much to soak up, however listed here are three fundamental issues I would like you to remove: 

  1. With DMS, you get a easy, built-in expertise to information you thru each step of the migration (not only a mixture of instruments to carry out the evaluation and migration).
  2. It’s serverless. You don’t have to deploy, handle, or monitor cases that run the migration. The onus of deciding on applicable sizing, monitoring the occasion, making certain that compute / storage are ample is on Google Cloud. Serverless migrations get rid of surprises and are performant at scale.
  3. It’s free.

Supported supply databases embrace:

  • AWS RDS 5.6, 5.7, eight.zero
  • Self-managed (on-prem, on any cloud VM) 5.5, 5.6, 5.7, eight.zero
  • Cloud SQL 5.6, 5.7, eight.zero

Supported vacation spot databases embrace:

  • Cloud SQL for MySQL 5.6, 5.7, eight.zero

Gabe Weiss, Developer Advocate for Cloud SQL, has gone in-depth across the numerous migration situations, how DMS works, and easy methods to put together Postgres cases for migration, so try his content material, in addition to finest practices round homogeneous migrations. For now, I’ll offer you a fast sneak peak by strolling you thru the fundamental DMS expertise for a brand new migration job.

A stroll by means of DMS


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