At ScaleGrid we continue to invest in supporting new database versions (while keeping support for prior versions), great infrastructure options, and improved operational capabilities across cloud providers. We’re excited to share the latest updates as part of our commitment to provide engineering teams with the best platform for data production workloads.
Below is a summary of recent enhancements to the ScaleGrid platform.
Redis 8.2 Support
We’ve added support for Redis 8.2, allowing teams to deploy clusters using the latest version of Redis while continuing to benefit from fully managed infrastructure and automation.
Redis 8.2 introduces performance improvements, expanded command functionality, and better operational efficiency for high-throughput workloads. Organizations that rely on Redis for caching, session management, real-time analytics, or messaging systems can now upgrade their deployments through the ScaleGrid console with minimal operational effort.
By supporting Redis 8.2, we ensure teams building modern applications have access to the newest Redis capabilities while maintaining automated backups, monitoring, high availability, and simplified cluster management.
MySQL 9 Support
Support for MySQL 9 is now available on the platform, enabling teams to deploy and manage the latest generation of the MySQL database through ScaleGrid.
MySQL 9 introduces improvements to performance, security, and query processing that are particularly beneficial for modern cloud-native workloads. Applications that rely on MySQL for transactional processing, analytics pipelines, or high-traffic web applications can take advantage of these advancements without managing upgrades manually.
Support for Additional Large Azure VM Classes
To support larger and more demanding database workloads, we’ve expanded Azure infrastructure options by adding support for X8XLarge, X16XLarge, and X32XLarge Virtual Machine instance types.
These larger instance classes provide significantly higher compute and memory capacity, making them well suited for high-throughput applications, large datasets, and performance-sensitive production environments. Engineering teams running resource-intensive workloads on Azure now have greater flexibility when selecting infrastructure that aligns with their scaling requirements.
PostgreSQL Point-in-Time Recovery on Azure
We’ve implemented Point-in-Time Recovery (PITR) and continuous backup support for PostgreSQL deployments on Microsoft Azure, giving teams greater control over database recovery.
Point-in-Time Recovery allows databases to be restored to a specific moment using continuously captured backups. This capability provides a reliable recovery option when teams need to return a database to an earlier state after an operational issue or unexpected change.
Adding PITR support for PostgreSQL on Azure strengthens the resilience of production deployments and provides additional safeguards for teams running critical workloads on the ScaleGrid platform.
Other Relevant Updates
PostgreSQL Citus Support
Added support for Citus as a managed service on PostgreSQL, enabling horizontal scaling across AWS, Azure, GCP, OCI, DigitalOcean, and Zadara.
Bring Your Own Encryption Key
Enable customers to control the OS encryption key used for their deployments.
OCI Multi-Region Support
Added support for Oracle Cloud Infrastructure Multi-Region deployments.
Expanded MongoDB Version Support
Enabled MongoDB v4.4.30, v8.0.4, and v8.2.3 deployment across major cloud providers including Zadara, Linode, DigitalOcean, OCI, Azure, and GCP.
PostgreSQL v16 & v17 Support
Expanded PostgreSQL v16 support across multiple cloud providers and added support for PostgreSQL v17 cluster creation.
Instance Type Optimization
Optimized instance type defaults and validation across AWS, Azure, OCI, and GCP for smoother multi-cloud provisioning.
Continuing to Improve Database Management in the Cloud
We remain focused on expanding platform capabilities across Redis, MySQL, PostgreSQL, RabbitMQ, and MongoDB deployments. Each improvement is designed to simplify database operations while giving engineering teams more control over performance, infrastructure choices, and reliability.
Modern engineering teams face increasing pressure to support scalable applications without increasing operational overhead. Our approach focuses on automation, managed infrastructure, and flexible deployment models such as Bring Your Own Cloud, allowing organizations to run production databases directly inside their own cloud accounts while still benefiting from a fully managed platform.
