Grace  Lesch

Grace Lesch

1621440000

Migrating financial data to cloud with Database Migration Service

Choosing Database Migration Service

At first, we didn’t consider an auto-migrating solution because there wasn’t a lot of complexity in the migration, especially for our small databases. We’d just have to bring the application down, export the database, import it to Cloud SQL, and bring it back up. That worked for most of our applications.

But toward the end of the process, two applications remained.

Through conversations with our product team and our Google contact, we learned about the Google Cloud’s Database Migration Service (which was in private preview at the time), which provides a serverless migration experience from MySQL to Cloud SQL for MySQL with continuous data replication, at no additional cost.

#database #database service #migrate databases #migrating financial data

What is GEEK

Buddha Community

Migrating financial data to cloud with Database Migration Service
Adaline  Kulas

Adaline Kulas

1594166040

What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Grace  Lesch

Grace Lesch

1621440000

Migrating financial data to cloud with Database Migration Service

Choosing Database Migration Service

At first, we didn’t consider an auto-migrating solution because there wasn’t a lot of complexity in the migration, especially for our small databases. We’d just have to bring the application down, export the database, import it to Cloud SQL, and bring it back up. That worked for most of our applications.

But toward the end of the process, two applications remained.

Through conversations with our product team and our Google contact, we learned about the Google Cloud’s Database Migration Service (which was in private preview at the time), which provides a serverless migration experience from MySQL to Cloud SQL for MySQL with continuous data replication, at no additional cost.

#database #database service #migrate databases #migrating financial data

Shardul Bhatt

Shardul Bhatt

1622789531

Understanding Data Migration Strategy and Best Practices

Databases are the lifeblood of every business in the modern world. Data enables them to make informed and valuable decisions. Insights, patterns, and outcomes – all require the best quality of data. Therefore, when it comes time to move from an older version to a newer version of the software, there’s a need for data migration planning.

There are a lot of complexities involved in the data migration process. You can’t just copy and paste data – it’s much more complicated. You need to have some data migration strategies and best practices for the entire process. You have to create a data migration plan that outlines all the activities of the process.

Data migration takes anywhere between a couple of months to a year. It depends on the amount of data you have, the capabilities of your legacy system, and the compatibility with the new system. While there are data migration tools and software that make the work easier, you need to have a data migration checklist for beginning the procedure.

In this article, we will look at the different data migrations strategies that assist in better managing data while moving from legacy systems or upgrading. We hope that your data migration team will get an overview of the process and the best practices that they can adopt. 

What is the Need for a Data Migration Strategy?

The primary purpose of a data migration plan is to improve the performance of the entire process and offer a structured approach to your data. Data migration policies are useful to eliminate errors and redundancies that might occur during the process.

Here’s why understanding data migration strategies is important – 

  1. Prevent failure
    Data migration planning helps you to avoid failure. It outlines the problems that might occur from the beginning. Data migration should not have a casual approach – cloud data migration projects require critical attention to prevent errors and issues.
  2. Define the larger scope
    By following the data migration best practices, you can define the larger scope of why you are migrating the data. Whether it’s due to the transition from legacy systems or upgrading the tools, a data migration plan enables determining what the process aims to achieve.
  3. Meeting deadlines
    And budgets – all becomes possible due to strategic data migration. You, like other companies, may exceed the budget or go beyond deadlines. Data is crucial at different stages, and it needs to be available at the right moment. 

What Should the Data Migration Planning Checklist Consist of?

There are many important elements to a data migration strategy. They are critical because leaving even a single factor behind may impact the effectiveness of your strategy. Your data migration planning checklist can comprise of the following – 

  • Data audit
    Before you migrate, you need to do a complete data audit. Knowing your data is more essential than anything because that will tell you about its characteristics.
  • System cleanup
    You need to clean up your system with data migration software and tools to fix any issues that may arise. Third-party sources are more viable in this process.
  • Data migration methodologies
    Outline the techniques, procedures, and data migration steps as you begin. Methodologies are important because they determine the success of the process.
  • Maintenance & support
    After migration, there needs to be regular maintenance and checkup of the data. Data may degrade over a period of time, so it needs to be assessed for any errors.
  • Data integrity
    Governance and compliance is an important part of the data migration strategy. Regularly tracking and monitoring data quality is important to assure safety from vulnerabilities.

Top Data Migration Strategies and Best Practices

Now that you have a clear understanding of why a data migration strategy is needed and what it comprises, let’s move on to the best data migration strategies and best practices. 

  1. Backup your data
    One of the top data migration best practices is to backup your data. You can’t afford to lose even a single piece of data. Backup resources are essential to save your data from any mishaps that may occur during the process. Backing up your data is crucial to prevent any failures during the data migration process that may lead to data loss.
  2. Design the migration
    There are two ways to design the data migration steps – big bang and trickle. Big bang involves completing the data migration in a limited timeframe, during which the servers would be down. Trickle involves completing the data migration process in stages. Designing the migration enables you to determine which is the right method for your requirements.
  3. Test the data migration plan
    We can never stress enough about the importance of testing the strategy you plan to choose. You need to conduct live tests with real data to figure out the effectiveness of the process. This may require taking some risks as the data is crucial. To ensure that the process will be complete, you need to test every aspect of the data migration planning.
  4. Set up an audit system
    Another top data migration strategy and best practice is to set up an audit system for the data migration process. Every stage needs to be carefully audited for errors and methodologies. Audit is important to ensure the accuracy of data migration. Without an audit system, you cannot really monitor what is going on with your data at each phase.
  5. Simplify with data migration tools
    It is important to consider a data migration software that can simplify the process. You need to focus on the connectivity, security, scalability, and speed of the software. Data migration is challenging when the right tools are not available. Ensure that the software you use for data migration doesn’t take you a step back in the process.

Conclusion

As you go through the process of data migration services, understanding how the process works is an essential step. Most data is migrated when there is a system upgrade. However, it involves a lot of challenges that can be solved easily by following the best practices.

We learned the different data migration strategies that can enhance the performance of the migration process. Once the data is lost, recovering it is more of a hassle than migrating it. So to ensure that you have the right assistance in data migration, hire the experts from BoTree TechnologiesCall us today!

Source: https://datafloq.com/read/understanding-data-migration-strategy-best-practices/15150

#data #data migration strategy #data migration #data migrations strategies #data migration software #data migration services

Cloud Migration Services

If you’re looking for a fast track Cloud Migration Services to assist with your migration to the public cloud, then 4 Way Technologies is the first name. We offer reliable services for your business.
You can also visit our services here-
AWS Managed Services
Azure Managed Service
DevOps Consulting Services
Google Cloud Consulting
Hire Front End Developer
AngularJS Development
Sencha Touch Development
Bootstrap Development
Mobile App Development Company
iPhone App Development Company
Android App Development Company
Hybrid App Development

#Cloud Migration Services #Cloud Migration #Cloud Migration Service #Cloud Migration Services Providers