Highlights
- Google Cloud’s Bare Metal Solution can reduce Oracle license costs by up to 50% compared to AWS and Azure virtual environments
- Two main migration paths exist: lift-and-shift to Bare Metal Solution or migrate to Google Cloud native services like Cloud SQL, Spanner, or BigQuery
- A thorough pre-migration assessment is crucial for identifying dependencies, license implications, and potential technical challenges
- Oracle workloads can be migrated to Google Cloud in minutes with data copying happening in the background while systems remain operational
- A proper network connection setup between your data center and Google Cloud is essential for a successful migration with minimal downtime
Transferring Oracle VMs to Google Cloud doesn’t have to be a complex task. The right approach can transform this complex task into a streamlined process with significant cost benefits and performance improvements. Whether you’re looking to escape hardware maintenance or scale more efficiently, Google Cloud offers proven paths to modernize your Oracle workloads.
Companies moving from Oracle VM environments to Google Cloud can see a decrease in Oracle license costs by as much as 50% compared to other cloud providers. Google’s Bare Metal Solution provides a fully managed, certified infrastructure that is specifically designed for Oracle workloads, making it the perfect place for your migration. This specialized solution allows you to stay compliant with Oracle’s licensing requirements while also taking advantage of Google Cloud’s global infrastructure benefits.
Here’s a step-by-step guide on how to smoothly transition your Oracle VM environment to Google Cloud, ensuring minimal disruption and maximum advantage.
Why Google Cloud is a Must for Oracle VM Users
Oracle VM environments have been a boon for businesses, but in today’s rapidly evolving digital world, they have some serious drawbacks. The need for hardware maintenance, capacity planning, and the difficulties of scaling can slow down your organization’s ability to innovate. Google Cloud gets rid of these problems by providing on-demand infrastructure that expands to meet your needs.
The financial benefits are just as impressive. In addition to the potential 50% Oracle license cost reduction, you will no longer need to spend money on hardware refreshes and you will lower operational costs through Google’s managed services. This change from capital expenditures to operational expenditures creates spending patterns that are predictable and are appreciated by finance teams.
Another major benefit is the increase in performance. Google’s worldwide network infrastructure offers connections between regions and services that are faster than what is typically achievable with on-premises Oracle VM deployments. This means improved application responsiveness for users all around the world.
Preparation: Oracle VM Migration Evaluation
- Record the current Oracle VM setups and resource usage
- Pinpoint all database links, dependencies, and integration points
- List Oracle features in use that might affect cloud compatibility
- Examine licensing terms and how they translate to Google Cloud
- Establish performance requirements and SLAs for applications
Effective migration starts with a detailed evaluation. If you skip this vital step, you might encounter unforeseen problems during the migration. Start by creating a detailed inventory of your Oracle environment, including VM specifications, storage requirements, network setups, and performance baselines. This inventory will serve as your guide for planning resource allocation in Google Cloud.
Think about using Google Cloud’s migration assessment tools or partner services to automate discovery. These tools can find dependencies that you might not see through manual assessment and provide recommendations that are specific to your Oracle workloads.
Assess Your Current Oracle VM Setup
Take a good look at your current Oracle VM setup. Write down how many virtual machines you have, their CPU and memory allocations, how storage is configured, and what your network settings are. Gather performance metrics for a minimum of 30 days so you can see usage patterns including peak loads, backup windows, and maintenance schedules. Be especially aware of any custom configurations that may need special handling when you migrate. This thorough inventory is the basis for your migration planning and will help you decide on the right size for your Google Cloud resources.
Record Your Oracle Database Version and Features
The compatibility of your Oracle database version is key to a successful migration. Some Oracle features may have specific needs or restrictions in cloud settings. Make a comprehensive list of your existing Oracle database version, patch level, and all features currently in use. Be especially mindful of Oracle RAC implementations, Data Guard configurations, partitioning, and any sophisticated security features. For more detailed guidance, you can refer to this resource on migrating Oracle databases to Google Cloud.
This guide will help you choose between Bare Metal Solution and native Google Cloud services, as some Oracle features are only supported in certain environments. Keep in mind that Oracle licensing terms are different for on-premises and cloud deployments, so make sure you check your license mobility rights before you start.
Identify All Applications That Use Your Database
The most common problems with migration are often due to application dependencies. Make a complete list of all applications that use your Oracle database. This includes how they connect, how they authenticate, and how they are integrated. Record how connections are formatted, how they are pooled, and any middleware that helps with these connections.
By taking stock, you can plan for any application updates you’ll need after the migration, and spot any potential compatibility problems. Applications that have connection strings hardwired into them, or that are closely tied to Oracle-specific features, will need more careful handling during the migration process.
Compare Current Expenses to Google Cloud Fees
Before moving forward with the migration, conduct a comprehensive cost comparison between your current Oracle VM infrastructure costs and the projected costs of Google Cloud. This should include the costs of hardware, maintenance, data center, power, cooling, and staffing in your current environment. For Google Cloud, you should consider the costs of computing resources, storage, network traffic, Bare Metal Solution fees, and any other services you might require.
Google’s pricing calculator is a great tool for estimating cloud costs. However, you may want to connect with Google Cloud sales representatives for more precise estimates, especially for the Bare Metal Solution, which has custom pricing. Don’t forget to factor in potential savings on Oracle licenses. You could save up to 50% compared to other cloud providers because Google’s infrastructure is optimized for Oracle workloads.
Choose Your Migration Route: Two Alternatives for Oracle to Google Cloud
When transitioning Oracle VMs to Google Cloud, there are two main routes to consider: lift-and-shift to Bare Metal Solution or converting to Google Cloud native services. Each method has unique benefits depending on your schedule, financial resources, and modernization objectives. The best option depends on your specific business needs, technical limitations, and long-term cloud strategy.
Guide to Choosing a Migration Path
For those interested in the latest advancements in technology, exploring options like AI GPUs could provide valuable insights when planning your migration path.
Opt for the Bare Metal Solution if: You need to keep the exact Oracle compatibility, have significant Oracle license investments, require RAC support, or need the quickest migration timeline.
Opt for Google Cloud Native Services if: You’re looking to cut down on Oracle licensing expenses, update your data platform, take advantage of cloud-native functions, or boost scalability and manageability.
Move and Improve with Bare Metal Solution
Google’s Bare Metal Solution is the most straightforward option for Oracle VM migrations. This solution gives you dedicated physical servers in Google Cloud’s data centers, all connected to Google Cloud through high-speed, low-latency connections. It lets you keep your Oracle investments while also giving you access to Google Cloud’s vast array of services. For those interested in optimizing their virtual machine environments, consider exploring this network configuration optimization guide.
By using the Bare Metal method, you can keep full Oracle compatibility, even for complex features like RAC (Real Application Clusters). Your Oracle licenses stay valid because you’re operating on dedicated hardware that meets Oracle’s licensing standards. This choice reduces application modifications because your database environment stays virtually the same.
Usually, the execution process takes between six to eight weeks from the time of order to the time of deployment. However, once the infrastructure is ready, the actual migration can be done in just a few days. Although this option is more expensive than cloud-native alternatives, it offers the quickest way to the cloud with the least amount of technical risk.
Moving to Google Cloud Native Services
Companies who are eager to lessen their reliance on Oracle can find significant long-term advantages by moving to Google’s cloud-native database services. This conversion method changes your Oracle databases into compatible Google services such as Cloud SQL for PostgreSQL, Cloud Spanner, or BigQuery, depending on the nature of your workload.
By choosing the native services approach, you can completely eliminate Oracle licensing costs and enjoy the scalability that the cloud offers. This approach also gives you access to Google’s fully managed database services, which not only reduces operational overhead but also allows you to integrate with Google’s AI and analytics capabilities. But remember, this approach requires you to convert your database schema, possibly change your application code, and conduct thorough testing.
Although this method is more complicated than the lift-and-shift, it offers the most significant cost savings and technical advantages in the long run. Google offers tools and services to help with the conversion, making this option more and more feasible. For further insights on optimizing virtual machine configurations, you can refer to this Azure virtual machines network configuration guide.
Option 1: A Step-by-Step Guide on Oracle VM Lift and Shift to Bare Metal
Using the lift-and-shift approach with Bare Metal Solution provides the quickest way to move to Google Cloud while keeping your current Oracle environment. This method reduces the need for application changes and allows you to keep your Oracle investments. For more information on optimizing your cloud setup, check out this network configuration optimization guide. Let’s go through the steps of how to implement this.
Prepare Google Cloud’s Bare Metal Solution
First, you’ll need to speak to your Google Cloud representative to order the right Bare Metal Solution configuration. This will be based on the data you’ve assessed. You’ll need to provide your server requirements, storage needs, and the version of Oracle you’re using. Google will then set up dedicated physical servers in a Google Cloud region that’s close to your target Google Cloud resources.
During the hardware provisioning period, which usually lasts 6-8 weeks, you should prepare your Google Cloud environment. This includes setting up your Virtual Private Cloud (VPC) network, subnets, firewall rules, and any other services you might need. You should also set up Identity and Access Management (IAM) roles and permissions to ensure that your security controls are in place from the start.
Set Up Network Connections Between Your Data Center and Google
Set up secure, high-bandwidth connections between your on-premises environment and Google Cloud. You can use Cloud VPN for encrypted internet connections, Cloud Interconnect for dedicated physical connections, or Partner Interconnect through a service provider. For most Oracle migrations, dedicated interconnect options are the best choice for large data transfers because they offer the best performance.
Set up the routing between your data center, Google Cloud VPC, and Bare Metal Solution environment. Make sure that the network connectivity and throughput are in order before you start the migration. Test the database connections over this network to make sure that the applications can get to the database with acceptable latency and bandwidth.
Get Your Oracle Database Ready to Move
Start getting your Oracle database ready to move to the cloud by using Oracle’s own export tools. If you have a smaller database (less than 500GB), you can use Oracle Data Pump. It’s an easy way to export your database and it works well. You can create a full export of your database schema, data, and database objects using commands like expdp with the right parameters.
If you have a larger database or need to limit downtime, you might want to think about using Oracle RMAN (Recovery Manager) backups or Oracle Data Guard for replication. RMAN offers block-level backups that can be moved and restored in a quick and efficient manner. Data Guard makes and keeps a standby database that is synchronized and can be switched over with only a small amount of downtime.
Bringing it into Google Cloud Bare Metal Solution
As soon as your database has been exported and shifted to Google Cloud storage, you can bring it into your Bare Metal Solution environment. If you used Data Pump to export, you can use the impdp utility to restore your database. Be sure to set up the same Oracle parameters, tablespaces, and storage configuration as your original environment to make sure everything is compatible.
If you’re using RMAN backups, you can use the RMAN restore and recover commands to rebuild your database on the Bare Metal Solution servers. If you’re using Data Guard, you can perform the final synchronization and switchover when you’re ready to transition to the new environment. After import, you can verify database integrity using Oracle’s built-in validation tools.
Ensure Your Migration Works
Before you move production workloads, make sure to completely test your migrated database. Run performance tests and compare the response times to your baseline metrics from the assessment phase. Test all application connections, batch processes, and integration points to make sure everything works correctly. Pay close attention to Oracle-specific features and extensions that your applications rely on. For more insights on maintaining system integrity, explore virtualized infrastructure disaster recovery solutions.
Option 2: Transfer Oracle VM to Google Cloud’s Native Services
Although the lift-and-shift method is the easiest route, there are several appealing long-term benefits to transferring to Google’s native database services. This strategy lets you get rid of Oracle licensing fees, use managed services, and switch to cloud-native architectures. While this method requires more preparation, it offers more flexibility and is more cost-effective.
Pick Your Google Database (Cloud SQL, Spanner, or BigQuery)
Picking the best Google Cloud database service will depend on the type of workload and what requirements you have. Cloud SQL for PostgreSQL is perfect for traditional transactional workloads and offers the closest compatibility with Oracle. It supports databases up to 64TB and provides automatic replication, backups, and updates with 99.95% availability.
If you’re working with worldwide applications that require infinite scaling, Cloud Spanner is a good option. This innovative database blends relational structure with horizontal scalability and 99.999% availability across regions. While moving from Oracle to Spanner may necessitate additional schema redesign, it permanently resolves scaling issues.
BigQuery is a great solution for data warehousing and analytical workloads. It’s a serverless solution that scales well and can handle data at the petabyte scale. It also integrates well with Google’s data analytics ecosystem. Many Oracle data warehouse implementations could be migrated to BigQuery.
Transform Your Oracle Schema
Converting your schema can be the most complex part of migrating to native services. Google’s Database Migration Service can automate a lot of this process for PostgreSQL migrations. Start by using Google’s assessment tools to check schema compatibility and identify conversion challenges.
Features specific to Oracle such as packages, PL/SQL procedures, and some data types will need to be transformed. Change Oracle sequences into PostgreSQL sequences, and convert Oracle’s DATE type into PostgreSQL’s TIMESTAMP. Functions frequently need syntax changes to fit PostgreSQL’s SQL dialect.
If you’re dealing with a complicated schema, it might be worth reaching out to a Google partner who specializes in Oracle migrations. They can help with complex stored procedures, triggers, and custom functions that might not automatically convert with standard tools.
Transferring Your Information
After you’ve transformed your schema, it’s time to move your data. Google’s Database Migration Service is a good option for smaller databases because it allows for continuous replication with little downtime. This service manages the initial loading of data and any changes that occur, ensuring that your source and destination remain in sync until you’re ready to make the switch.
If you’re dealing with larger datasets, you might want to think about using data extraction tools to create flat files. These can be loaded directly or through Cloud Storage. Tools like Apache Sqoop, AWS Glue, or custom scripts that use Oracle’s JDBC drivers can extract data in formats that are compatible with your target database.
After migrating, you should verify the integrity of your data. You can do this by comparing the number of records, running checksum validations on important tables, and testing key queries on both the source and destination databases to ensure the results are the same. Make sure to resolve any discrepancies before you proceed to production cutover.
Alter Your Application Code
Application modifications are the last step in cloud-native migration. Change connection strings, query syntax, and data access patterns to function with your new database. Substitute Oracle-specific SQL with standard SQL or PostgreSQL syntax. If you’re using an ORM layer like Hibernate or JPA, reconfigure it for your new database type. For more insights, you can explore migrating Oracle databases to Google Cloud.
Make sure to thoroughly test the functionality of your application in a staging environment that closely resembles production. Pay particular attention to transaction processing, connection pooling behavior, and error handling, as these areas often differ between Oracle and other databases. Performance testing is a must to ensure that your new architecture is as good as or better than your original Oracle implementation.
Think about adopting a staged migration approach where some workloads are transferred to Google Cloud’s native services while others stay on Oracle for a while. This hybrid method lowers risk and lets your team get comfortable with the new setting before finishing the migration.
Typical Problems (and Solutions) for Oracle VM Migration
Even with the most careful planning, migrations can still run into difficulties. Knowing what these common problems are can help you handle them effectively and keep your business running smoothly.
Problems with Database Performance
Typically, performance issues after migration arise from differences in memory allocation, storage configuration, or network latency. With Bare Metal Solution, it’s crucial to make sure your Oracle parameters are optimized for the new hardware, especially the SGA and PGA memory settings. It’s also a good idea to review the execution plans for your most important queries, as they might be different in the new environment.
When it comes to migrating to the cloud, performance issues are usually linked to query optimization. PostgreSQL’s query optimizer operates differently than Oracle’s, which may necessitate changes to the index or query rewrites. Keep an eye on your database and fine-tune it with Cloud Monitoring. You can also create custom dashboards that focus on your most important operations.
If you find that latency is becoming an issue, you might want to take a look at your application architecture to see if there are any areas you can improve. This could include optimizing connection pooling or adding caching layers using Memorystore. Remember, sometimes the problem isn’t with the database performance, but with the network configuration.
Dealing with Network Connection Timeouts
For your applications and migrated databases to function properly, they need to be able to connect to each other consistently. If they can’t, you may experience timeouts. These are often caused by firewall settings, load balancer configurations, or issues with the network path. To avoid this, make sure all the necessary ports are open in your VPC firewall rules and that the routing between application tiers and database servers is as good as it can be.
Make sure to modify the timeout settings of your application connections to account for any occasional spikes in network latency that may occur in cloud environments. It’s also a good idea to incorporate strong connection retry logic into your applications to ensure they can handle any temporary connectivity issues without issue. If you’re using a hybrid deployment, make sure your Cloud Interconnect or VPN connections have enough bandwidth and reliability to handle database traffic.
Solving Network Connection Problems
For those looking to enhance their network settings, consider checking out this network configuration optimization guide for Azure Virtual Machines, which provides valuable insights and strategies.
1. Check that VPC firewall rules permit traffic on database ports
2. Use ping or specialized tools to check network latency
3. Ensure that MTU settings are consistent across network segments
4. Examine Cloud Router and BGP configurations
5. Use Network Intelligence Center to track packet loss
Oracle Licensing: A Tricky Territory
Oracle licensing can be a bit of a minefield when it comes to cloud environments, and can end up being quite expensive if not handled with care. Google Cloud’s Bare Metal Solution allows you to use your existing licenses, thanks to Oracle’s Authorized Cloud Environments policy. Make sure you have a record of your license entitlements before you start the migration process, and understand how they can be applied to the various options available on Google Cloud.
Remember that Oracle may demand licenses for all vCPUs on a VM, irrespective of how many your database actually uses. This is why Bare Metal Solution can offer significant cost advantages over virtual deployments. When planning your migration, consult with both Google Cloud specialists and your Oracle license representative to ensure compliance.
Think about using Google’s License Mobility assessment service. It can help you figure out the cheapest way to use your Oracle workloads while staying within the rules of your license. If you want to save money in the long run, think about slowly moving your Oracle workloads to open-source alternatives.
Post-Migration: How to Optimize Your Oracle Workloads on Google Cloud
After you’ve migrated your workloads to Google Cloud, your work isn’t over. You should optimize your workloads after migration to ensure you’re getting the most performance and cost efficiency while still maintaining reliability. This should be an ongoing process that is part of your regular operations to fully realize the benefits of migrating to the cloud.
Establish Monitoring
Thorough monitoring is crucial for ensuring the best database performance and reliability. Use Google Cloud Monitoring to keep an eye on system-level metrics such as CPU utilization, memory usage, disk I/O, and network throughput. For Oracle databases, set up the Oracle Management Agent to transmit database-specific metrics to Cloud Monitoring for unified visibility. For additional insights, consider exploring virtualized infrastructure disaster recovery solutions to enhance your monitoring strategy.
Design personalized dashboards for various stakeholders – operations teams require comprehensive technical metrics while business users might need service-level indicators. Establish alerts for critical thresholds to proactively tackle potential problems before they affect users. For more guidance, explore this migration to GCP guide to enhance your cloud strategy.
Category of Metrics Important Metrics to Keep an Eye On Suggested Thresholds Resources of the System CPU, Memory, Disk I/O, Network CPU > 80%, Memory > 85% Performance of the Database Buffer cache hit ratio, SQL response time Cache ratio < 95%, Response > 500ms Experience of the User Application response time, Error rate Response > 1s, Errors > 0.1% Make use of Google Cloud’s operations suite to correlate metrics, logs, and traces for more efficient troubleshooting. This comprehensive method aids in identifying whether performance issues are originating from the database, network, or application layer, considerably decreasing the average time to resolution when incidents take place. For additional insights, explore virtualized infrastructure disaster recovery solutions to enhance your system’s resilience.
Setting Up Backups
Every database environment requires trustworthy backup and recovery capabilities. For deployments using Bare Metal Solution, you should use RMAN backups to Cloud Storage. This method is not only cost-effective, but it also provides long-lasting protection. Set up your backup schedules according to your recovery point objectives. Usually, this involves daily full backups and hourly incremental backups for transactional systems.
When using Cloud SQL, make sure to set up automated backups with the right retention policies. If you’re working with workloads that are critical to your mission, you should think about using point-in-time recovery capabilities. This will help you avoid losing data if you need to recover it. You should also test your recovery procedures on a regular basis. This will help you make sure they meet your recovery time objectives. Plus, it will give your team a chance to practice restoring data.
Establish a backup plan that spans multiple regions to be ready for disaster recovery. Keep copies of essential backups in a backup region to safeguard against regional service interruptions. If you want the utmost protection, think about setting up Data Guard standby databases in various regions for Oracle workloads that are essential to your mission.
Optimize Resources for Performance
One of the main benefits of cloud environments is the capability to adjust resources to meet workload requirements. Keep track of performance trends over time and modify your instance sizes, storage setup, and network allocations as needed. For Bare Metal Solution, collaborate with your Google Cloud representative to properly size your infrastructure as your workloads change. For Cloud SQL and other native services, utilize automatic scaling features to balance cost and performance targets.
Success Stories: Businesses That Transitioned from Oracle VM to Google Cloud
Many major businesses from a variety of sectors have successfully moved Oracle workloads to Google Cloud and have seen impressive results. A global financial services company was able to reduce their Oracle license costs by 45% and improve transaction processing performance by 30% after moving to Bare Metal Solution. A retail company was able to eliminate $3.2 million in annual infrastructure costs by moving their Oracle data warehouse to BigQuery, and they also gained real-time analytics capabilities that they didn’t have in their old environment. These real-world examples show that with the right planning and execution, Oracle migrations can provide significant business value beyond just modernizing infrastructure.
Begin Your Journey to Google Cloud Now
Start your Oracle to Google Cloud migration with a comprehensive assessment of your current environment and clear business goals for migration. Google’s migration assessment tools can help calculate potential savings and identify the best migration path for your specific workloads. Collaborate with Google Cloud specialists or certified partners who have specialized expertise in Oracle migrations to speed up your journey while reducing risk.
It might be a good idea to begin with a proof-of-concept migration for a non-essential database. This will give your team the chance to gain experience and confidence with the process. Plus, it will give you the opportunity to perfect your migration playbook before you take on more complicated production workloads. Keep in mind that a successful cloud migration is just as much about the people and the processes as it is about the technology. Make sure you put time and resources into training your team on Google Cloud services and the latest operational practices.
Common Questions
Many questions arise when organizations begin the process of migrating Oracle to Google Cloud. Here are some of the most common questions we receive from customers planning their migration.
This Frequently Asked Questions section answers the main issues that usually come up during the planning and execution of a migration. For questions that are specific to your environment, you should consult with specialists at Google Cloud or with certified migration partners.
What is the timeline for migrating an Oracle database to Google Cloud?
There are many factors that can influence the length of a migration, including the size of the database, its complexity, and the migration method. For migrations that use the Bare Metal Solution lift-and-shift method, you should plan for 6-8 weeks for infrastructure provisioning. After that, the migration itself can take anywhere from a few hours to a few days, depending on the size of the database and the speed of your network. As a general rule, a 1TB Oracle database can be migrated in 1-2 days once the infrastructure is in place.
If you’re migrating to cloud-native services like Cloud SQL or BigQuery, your timeline will mostly be determined by how complex your schema is and what your application depends on. For moderately complex applications, you can expect schema conversion and testing to take between 4 and 12 weeks. You can do data migration at the same time, and the final switch over can take from a few hours to a few days. If you’re doing a phased migration, where you move your applications bit by bit, it can take several months, but this method is less risky and disruptive.
Can I use my Oracle licenses on Google Cloud?
Oracle has different licensing rules for cloud environments compared to on-premises deployments. However, with Bare Metal Solution, you can use your existing Oracle licenses under Oracle’s Authorized Cloud Environments policy. It’s easy to understand the licensing because you’re running on dedicated physical servers, just like your on-premises environment.
When it comes to virtual machine deployments, Oracle usually mandates licenses for all vCPUs on a VM, irrespective of how many your database utilizes. This can make virtual deployments quite expensive for large Oracle databases, which is why the Bare Metal Solution is often a more cost-effective option.
Comparing Oracle Licenses
Bare Metal Solution: Licensing is based on the number of physical cores (the same as it is on-site)
Compute Engine Virtual Machines: Make sure to license all virtual CPUs on the VM. For further insights on optimizing virtual machine configurations, check out this network configuration optimization guide.
Cloud SQL/Spanner/BigQuery: Oracle licenses are not necessary
It is always a good idea to check with your Oracle representative to ensure that you are meeting the licensing requirements for your particular situation. Google Cloud’s licensing specialists can assist in optimizing your deployment to reduce Oracle licensing costs while still adhering to the rules.
Is it possible to run Oracle RAC on Google Cloud?
Indeed, Oracle Real Application Clusters (RAC) is completely compatible with Google Cloud’s Bare Metal Solution. The dedicated hardware environment meets Oracle’s certification requirements for RAC deployments, including the necessary shared storage infrastructure. However, RAC is not supported on Google Compute Engine virtual machines due to Oracle’s licensing and certification policies. Organizations that need RAC for high availability should select the Bare Metal Solution as their migration path.
Is running Oracle on Google Cloud cheaper than running it on-premises?
Generally, yes. Companies often see a 30-50% total cost reduction when they move Oracle workloads to Google Cloud. The savings come from getting rid of hardware refresh cycles, lowering data center costs, optimizing license usage, and operational efficiencies. Bare Metal Solution can lower Oracle license costs by up to 50% compared to VM deployments on other clouds because of its optimized infrastructure. The biggest savings come from moving to Google’s native database services which completely get rid of Oracle licensing costs, although this approach needs more upfront investment in migration.
What type of assistance does Google offer for Oracle migrations?
Google provides extensive assistance for Oracle migrations, both through its own services and through its partner ecosystems. Google’s Database Migration Service includes tools for evaluation, schema conversion, and data migration for PostgreSQL targets. For those deploying Bare Metal Solution, Google’s Cloud Architecture Center provides detailed guides on migration and documentation on best practices.
When it comes to complicated migrations, Google’s Professional Services Organization (PSO) offers direct help with both the planning and execution stages. Google also collaborates with a group of specialized partners who have extensive experience in Oracle migration. These partners can provide your internal teams with specialized skills in areas such as PL/SQL conversion, performance tuning, and application modernization.
Google Cloud goes beyond just supporting the migration process to also assisting with continuous operations. Their Enterprise Support plans come with technical account managers who are there to help with any problems that may come up after the migration. They also provide advice on ways to optimize as your cloud environment continues to grow and change.
When planning a migration from Oracle VM to Google Cloud, it’s crucial to understand the various components involved in the process. This includes assessing your current infrastructure, identifying dependencies, and ensuring that your applications are compatible with the cloud environment. Additionally, you should consider security best practices to protect your data during the transition. For instance, implementing Citrix Hypervisor security best practices can enhance your overall cloud security strategy.
