Data Modernization with Azure SQL Database

An organization’s data journey is multi-faceted, it requires the unification of system integrations, data migration, data quality, data governance and data archiving throughout the lifetime of your corporate data. Laying down a solid foundation for this process is the new concept of data modernization, which involves analyzing and preparing data to become holistically integrated into these processes.

Data modernization facilitates the overarching business processes that drive organizations’ success by coordinating and optimizing these events across the data lifecycle. To unlatch the power of data, organizations can now incorporate next-generation applications to support all requirements for data consistency, reliability, reusability, and execution across information governance projects.
Moving your data to the cloud will make your business more efficient and secure. Most organizations looking to modernize their data platforms want the same things:

  • Less administration
  • Minimal downtime
  • Data backups in a secure location
  • A replacement for dedicated disaster recovery (DR) sites
  • A cost-effective way to scale processing
  • Eliminate time spent managing “long tail” of applications.
  • Free up limited IT resources to drive transformation
  • Migrate business-critical apps to the cloud

Microsoft’s Azure Data Platform offers a variety of paths to these objectives:

Azure SQL Database

Azure SQL Database is Microsoft’s fully managed cloud relational database service in Microsoft Azure. It shares the same code base as traditional SQL Servers but with Microsoft’s Cloud first strategy the newest features of SQL Server actually are released to Azure SQL Database first.

Below are the top benefits that companies are realizing with Azure SQL Database as their database service:

  • Scalability – Azure SQL Database enables you to easily scale your database by adding more compute power (scale-up) or adding more database units (scale-out). Flexible plans of Azure SQL database meet the needs of big as well as small enterprises. The pricing structure allows users to pay as little as $4.99 per database per month with maximum storage set at 150 GB per database. That’s a lot of space for very little cost.

    When demand for your app grows from a handful of devices and customers to millions, Azure SQL Database scales on the fly with minimal downtime. Scalability is one of the most important characteristics of PaaS that enables you to dynamically add more resources to your service when needed. Azure SQL Database enables you to easily change resources (CPU power, memory, IO throughput, and storage) allocated to your databases.

  • High Speed and Minimal Down Time – High availability architectures mean high-speed connectivity and data retrieval as well as low downtime at your organization. There’s nothing worse than stopping business because your technology can’t keep up, but that is no longer a problem with Azure SQL Database.
    There are multiple levels of implementation available on Azure SQL Database. If the requirement is just a website and a database, you can just subscribe for a SQL Azure instance to an Azure website. On the other hand, if you need a fully functional VM for your enterprise you can avail that as well.  These implementation options help make your company more adaptable to the inevitable changes it undergoes on a regular basis.

  • Time Is On Your Side – With no administrative duties on your physical location, employees can take time for strategic work to advance and grow all-around business success. When your database is hosted in the cloud, you don’t have to deal with setting up SQL Server, apportioning databases, and dealing with physical machine maintenance and upkeep. All of this results in better alignment of your organization and ultimately more time on your side.

  • Improved Usability – Using standard SQL, it’s much easier to manage database systems without having to write or update a huge amount of code.

  • Streamlined business continuity with automatic backups and geo-replication

  • Microsoft-backed database-as-a-service with 99.99% uptime SLA Provision and pay-as-you-go

  • Familiar development tools – T-SQL, REST APIs, PowerShell, SQL Server Management Studio (SSMS), Visual Studio, popular platforms and technologies including .NET, Java, Ruby on Rails, and Node.js and Azure Management Portal with HTML5 support

  • Zero administration – Virtualized infrastructure removes nearly all maintenance including automated software patching

 

Let Sysfore be your guide

We offer a comprehensive solution to convert legacy and near-legacy databases to modern database platforms that will allow you to scale your business. We begin with a detailed assessment of the database schema along with a baseline performance requirement. We then use this information to recreate your database environment without the data. This approach alleviates any data privacy concerns. We then internally set up a repeatable process to convert legacy databases to the modern database of your choice. We work with you to tailor a future-proof system architecture in the cloud or on-premises.

 

We follow a 5 step process for database modernization:

  1. Assessment
  2. Database and Data conversion
  3. Application COnversion
  4. Quality Assurance
  5. Deployment, Training & Support

 

As your trusted partner, Sysfore can help you understand how these changes could impact your business and assist your transition to the latest offerings. We can offer you:

  • Free Workshop on Azure Database for SQL/PostgreSQL/MySQL
  • Free Assessment of existing on-premise SQL/PostgreSQL/MySQL database
  • Free SQL/PostgreSQL/MySQL Architectural preparation
  • Free Consultation and migration to SQL on LINUX
  • Get a free Azure Trial Credit pack for 100$

Azure SQL Database

Sysfore, A Microsoft Cloud solution provider and a Gold Partner, uses a leading network, technology, and service expertise to deliver our service anytime, virtually anywhere, quickly and efficiently. We have helped over 80 small enterprises and 30 mid-sized enterprises across the globe for successful cloud migration in the past 8 years. Contact one of our experts today and we will help you find the perfect solution for your business. Write to us at info@sysfore.com or give us a call at +91 (80) 4110 5555

All You Need to Know Before Moving Applications to the Cloud

Organizations lift and shift their workloads on the cloud because it is cheaper and quicker than other migration techniques, but that doesn’t mean it is always the best fit.

IT teams often face budget issues and time constraints, so they believe they have very little choices. Additionally, they’ll feel hurried to get the applications up and running by cloud providers eager to bill these new workloads. But there are significant disadvantages to a lift and shift approach when compared to application refactoring, also known as rearchitecting.

It may be cheaper up front to simply rehost your application and its data as is on the public cloud, but this approach could ultimately cost more than it would run a cloud-native app instead. There may also be performance issues caused by changes in the software architecture, missed software bugs and an inability to properly utilize cloud vendors’ native services for monitoring, security, and governance.

It is always best to refactor the workload as part of the migration, because the lift and shift approach may not always deliver the results and tuning doesn’t solve the problem. A migrated application may also benefit from refactoring when bills are unexpectedly high due to application or database inefficiencies or when security vulnerabilities arise because the application can’t integrate with native security systems, such as identity and access management tools.  

 

What is app-refactoring

App refactoring is the restructuring of existing computer code to improve its performance, readability, portability or code adherence without changing the code’s intended functions.

Refactoring is done to extend the apps’ usability and life cycle, improve support for multiple mobile platforms and extend their market reach through multiple app stores.

 

When and how do you refactor apps?

Organizations must consider several factors before they decide to refactor their apps — the most important of which is cost. If you can’t make your money back from refactoring applications, then it should not be attempted. There’s also a great variety of refactoring tools to choose from, and an application’s needs will vary depending on what programming languages and databases that app relies on. Generally speaking, however, the categories of tools include anything that assists in designing and developing microservices that utilize cloud-native APIs. Moreover, container development and Kubernetes deployment and operations are also a common way to refactor.

 

Organizations also have several ways to refactor their applications for the cloud.

A complete refactor is when more than 50% of the code is changed and the database is updated to utilize as many cloud-native features as required by the application. This strategy can improve performance, operations costs and IT teams’ ability to meet the needs of the business. However, the process could be too costly or complex, and it can introduce bugs.

Minimum viable refactoring prioritizes speed and efficiency, as it requires only slight changes to the application. Users who take this approach often incorporate cloud-native security, management and perhaps a public cloud database into their migrated workload.

Containerization refactoring is done when applications are moved into containers with minimal modifications. The applications exist within the container, which enables users to incorporate cloud-native features and improve portability. Costs and refactoring times continue to go down due to the popularity of containers and their growing ecosystems.

Read More about Dockers and Containers

Serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Serverless computing is steered by the reaction to triggers and events happening in near-real-time–in the cloud. The code written by a developer is executed and only the precise amount of computing resources are taken to complete the task, no more, no less.

Read More about Serverless computing

Enterprises should bear in mind that most applications and data sets that can move to a public cloud require at least some refactoring and users should at least do minimum viable refactoring for most of the cloud-hosted application.  

 

Get in touch with us to find out what refactoring method works the best for your workload.

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Sysfore is a Gold Microsoft Azure and AWS partner with 8+ years of cloud consulting and managed service expertise. We have the privilege of executing the largest data center migration projects in India and have engaged with over 100+ customers on their cloud journey.