This pre-upgrade information helps you understand what changes to expect while upgrading from Dynatrace Managed to SaaS deployment and to plan accordingly. This page helps you to understand the most important differences that you need to consider before you start the upgrade.
Preparation and planning of the migration to SaaS start with understanding the benefits of migration. A key reason why many organizations are upgrading to SaaS deployments is to access SaaS-only technologies and Dynatrace capabilities like Grail, AppEngine, and AutomationEngine.
Grail is architected as a Massively Parallel Processing (MPP) data lakehouse, scaling to thousands of nodes. At a massive scale, the underlying infrastructure attributes must be consistently implemented, controlled, and balanced, which is not practical in physical data centers.
Additionally, with the SaaS deployment model, Dynatrace operates your environment holistically, providing a secure environment certified to comply with ISO 27001 and other standards, configurable privacy features to enable customers to meet their compliance obligations, and stringent Dynatrace uptime SLAs. This reduces your total cost of ownership and provides users with faster and more resilient access to the Dynatrace environment.
An overview of the current data retention periods and how they differ in Dynatrace Managed and SaaS can be found in Data retention periods. If a retention limit was increased in your Dynatrace Managed environment, you need to review it to determine if it's still feasible for your new Dynatrace SaaS environment. The Pre-upgrade assessment can help you understand the important differences and limits.
Every Dynatrace Cluster is deployed in three data centers within a hyperscaler region, assuring failover and providing continuous operation in the case of the loss of one data center until the lost data center is available again.
AWS, Azure, and Google protect and monitor physical equipment from security threats and environmental hazards. Dynatrace implements the following means for assuring business continuity in the event of an emergency:
Dynatrace uses a clustered architecture and a high availability setup within each region, where three data centers are utilized to allow the failover of data centers within a region:
See also Business continuity and high-availability.
Dynatrace product data is backed up to a dedicated storage account on the respective cloud provider. For details, see Data backups and disaster recovery.
Dynatrace provisions and manages the cloud provider infrastructure and operates the Dynatrace platform on clusters deployed in different regions of the hyperscalers. See Data storage section to learn what regions are currently available.
This page provides an overview of the differences between Dynatrace Managed and Dynatrace SaaS. If you have more detailed questions when upgrading to SaaS, contact a Dynatrace product expert via live chat within your Dynatrace environment.
Visit the Upgrade to SaaS forum to ask questions, get answers, and share what you've learned with others.