
Transform and Succeed! Change is crucial for growth. Our migration services provide seamless transitions from old to new, ensuring your systems are always at the forefront of technology!

Transform and Succeed! Change is crucial for growth. Our migration services provide seamless transitions from old to new, ensuring your systems are always at the forefront of technology!

GCP Database Migration Service (DMS) simplifies data migration to Google Cloud databases for new workloads. DMS offers continuous migrations from MySQL, PostgreSQL, and SQL Server to Cloud SQL and AlloyDB for PostgreSQL. DMS migrates Oracle workloads to Cloud SQL for PostgreSQL and AlloyDB to modernise them. DMS simplifies data migration to Google Cloud databases.
This blog post will discuss ways to speed up Cloud SQL migrations for PostgreSQL / AlloyDB workloads.
The main purpose of Database Migration Service is to move databases smoothly with little downtime. With huge production workloads, migration speed is crucial to the experience. Slower migration times can affect PostgreSQL databases like:
To speed migrations, Google can fine-tune some settings to avoid aforementioned concerns. The following options apply to Cloud SQL and AlloyDB destinations. Improve migration speeds. Adjust the following settings in various categories:
Examine these in detail.
Google’s new DMS functionality uses PostgreSQL multiple subscriptions to migrate data in parallel by setting up pglogical subscriptions between the source and destination databases. This feature migrates data in parallel streams during data load and CDC.
Database Migration Service’s UI and Cloud SQL APIs default to OPTIMAL, which balances performance and source database load. You can increase migration speed by selecting MAXIMUM, which delivers the maximum dump speeds.
Based on your setting,
In Google’s experience, MAXIMUM mode speeds migration multifold compared to MINIMAL / OPTIMAL mode.
The MAXIMUM setting delivers the fastest speeds, but if the source is already under load, it may slow application performance. So check source resource use before choosing this option.
CDC and initial load can be optimised with these database options. The suggestions have a range of values, which you must test and set based on your workload.
These destination database configurations can be fine-tuned.
max_wal_size: Set this in range of 20GB-50GB
The system setting max_wal_size limits WAL growth during automatic checkpoints. Higher wal size reduces checkpoint frequency, improving migration resource allocation. The default max_wal_size can create DMS load checkpoints every few seconds. Google can set max_wal_size between 20GB and 50GB depending on machine tier to avoid this. Higher values improve migration speeds, especially beginning load. AlloyDB manages checkpoints automatically, therefore this argument is not needed. After migration, modify the value to fit production workload requirements.
pglogical.synchronous_commit : Set this to off
As the name implies, pglogical.synchronous_commit can acknowledge commits before flushing WAL records to disc. WAL flush depends on wal_writer_delay parameters. This is an asynchronous commit, which speeds up CDC DML modifications but reduces durability. Last few asynchronous commits may be lost if PostgreSQL crashes.
wal_buffers : Set 32–64 MB in 4 vCPU machines, 64–128 MB in 8–16 vCPU machines
Wal buffers show the amount of shared memory utilised for unwritten WAL data. Initial load commit frequency should be reduced. Set it to 256MB for greater vCPU objectives. Smaller wal_buffers increase commit frequency, hence increasing them helps initial load.
maintenance_work_mem: Suggested value of 1GB / size of biggest index if possible
PostgreSQL maintenance operations like VACUUM, CREATE INDEX, and ALTER TABLE ADD FOREIGN KEY employ maintenance_work_mem. Databases execute these actions sequentially. Before CDC, DMS migrates initial load data and rebuilds destination indexes and constraints. Maintenance_work_mem optimises memory for constraint construction. Increase this value beyond 64 MB. Past studies with 1 GB yielded good results. If possible, this setting should be close to the destination’s greatest index to replicate. After migration, reset this parameter to the default value to avoid affecting application query processing.
max_parallel_maintenance_workers: Proportional to CPU count
Following data migration, DMS uses pg_restore to recreate secondary indexes on the destination. DMS chooses the best parallel configuration for –jobs depending on target machine configuration. Set max_parallel_maintenance_workers on the destination for parallel index creation to speed up CREATE INDEX calls. The default option is 2, although the destination instance’s CPU count and memory can increase it. After migration, reset this parameter to the default value to avoid affecting application query processing.
max_parallel_workers: Set proportional max_worker_processes
The max_parallel_workers flag increases the system’s parallel worker limit. The default value is 8. Setting this above max_worker_processes has no effect because parallel workers are taken from that pool. Maximum parallel workers should be equal to or more than maximum parallel maintenance workers.
autovacuum: Off
Turn off autovacuum in the destination until replication lag is low if there is a lot of data to catch up on during the CDC phase. To speed up a one-time manual hoover before promoting an instance, specify max_parallel_maintenance_workers=4 (set it to the Cloud SQL instance’s vCPUs) and maintenance_work_mem=10GB or greater. Note that manual hoover uses maintenance_work_mem. Turn on autovacuum after migration.
Finally, for source instance fine tuning, consider these configurations:
Shared_buffers: Set to 60% of RAM
The database server allocates shared memory buffers using the shared_buffers argument. Increase shared_buffers to 60% of the source PostgreSQL database‘s RAM to improve initial load performance and buffer SELECTs.
Another factor in faster migrations is machine or network configuration. Larger destination and source configurations (RAM, CPU, Disc IO) speed migrations.
Here are some methods:
DMS may not improve speed if the source has a huge table that holds most of the data in the database being migrated. The current parallelism is table-level due to pglogical constraints. Future updates will solve the inability to parallelise table data.
Do not activate automated backups during migration. DDLs on the source are not supported for replication, therefore avoid them.
Fine-tuning source and destination instance configurations, using optimal machine and network configurations, and monitoring workflow steps optimise DMS migrations. Faster DMS migrations are possible by following best practices and addressing potential issues.
Read more on govindhtech.com
Drupal to WordPress Migration Service: Expert Transition Assistance
Drupal to WordPress Migration Service: Expert Transition Assistance
Transitioning your website from Drupal to WordPress? Our team offers expert Drupal to WordPress migration services tailored to your needs. Whether it’s for enhanced functionality, ease of use, or improved SEO, we ensure a seamless transfer of your content and design elements. From data migration to plugin integration, trust us to handle the entire Drupal to WordPress migration service process efficiently and effectively.
Drupal vs. Joomla: Which Is Better in 2023
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Meetanshi provides Volusion to Magento Migration Service for an easy and smooth migration. Take the security and performance of your store to the next level.

Volusion and Magento are two of the most popular eCommerce platforms used by the online business owners. Volusion is one of the older eCommerce CMS platforms, which was founded in 1999.
This over two decades old eCommerce platform lacks innovative features and functionalities like Magento. The store owners that are currently running on Volusion and looking to scale up their business may be required to migrate to Magento for better performance and more innovative features.
Magento is a powerful and robust eCommerce platform, which is currently acquired by Adobe. It offers more than 120 free themes on its marketplace and provides the store owners with high customizability options. Volusion store owners may decide to migrate to Magento due to its flexibility and scalability.
Meetanshi is providing Volusion to Magento Migration Service to allow the store owners to shift to Magento to scale up their business. Store owners just need to sit back and relax, eCommerce development professionals will make sure about a smooth and secure Volusion to Magento migration.
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Avail Magento 2 Migration Service by Meetanshi for latest features of E-commerce. Offer a feature rich and secure Magento 2 store to the customers now!

Magento announced the end of software support through June 2020. After over a decade of development, Magento will reach the “End of Life” which demands migration of stores which are still functioning in Magento 1.x versions. It is high time that merchants migrate their store to the updated Magento 2 version to avail the advantages of latest creativities in the E-commerce world.
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Running an eCommerce store is a complicated as well as challenging task. One needs to select an eCommerce platform wisely that satisfies your business requirements. The process of migration is complex and requires expert’s attention as to not risk the store’s crucial data and security of customers’ sensitive information.
Magento can be the perfect choice for the store owners as it is provided with advanced functionalities and customization facilities. The latest Magento version 2.4.3 is equipped with features such as Page Builder, GraphQL and advanced security. Due to several such reasons, people opt to migrate to their latest Magento 2 version.
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