The nearly wholesale transition to cloud computing in application deployment is a trend that has been impossible not to notice in recent years. But while the trend makes it clear that there are benefits to application cloud migration, not every application will succeed in the cloud.
There are several compelling reasons you may want to consider “SaaS-ifying” your enterprise applications:
But before you begin preparing your application for migration, there are a few points you should consider.
Can you manage SaaS?
It is important to understand that in the process of migrating an enterprise application to a SaaS service, it essentially becomes a product. And like any product, it must be effectively managed and supported. This means roadmaps, marketing, support, etc. If this will not be possible for you, you may need to rethink whether to migrate this particular application.
Is the application ready for a SaaS transformation?
Applications and related services designed for internal use are not usually built to run on SaaS solutions, and may be less complete and robust than a client-facing application. Depending on the current state of your application, you may need to invest significant time and effort in refactoring the application and its resources. In the worst cases, significant portions of the application and its supporting resources may need to be restructured or rewritten.
The difference between multiple users and multiple instances
An application designed for internal use is often built to support many users, but rarely to support many instances. While in its current state, it is sufficient to run one instance of the application and its resources with all the users connecting to that instance. SaaS deployment will require your application to be able to run multiple instances, each with their own space and resources. This often requires a new way of thinking about the application in order to keep each instance virtually distinct and separate while allowing them to simultaneously access hardware resources.
The security of your application and its data is a crucial concern and deploying your application in the cloud opens it up to new vulnerabilities. You will need to make sure that you have taken all the necessary measures to keep your sensitive and critical data safe from malicious third parties, catastrophic data loss and system failure, in addition to service outages.
As SaaS migration removes an enterprise application’s geographical limitations and allows its use to expand globally, your application may become subject to different legislation, regulations, and industry standards. A notable example is the European General Data Protection Regulation adopted in 2018. You may need to invest significant time in ensuring that you are complying with all relevant regulations and standards pertaining to your application’s functionalities.
SaaS-deployed applications will likely run on public cloud IaaS services. The cost of these IaaS services needs to be considered in your operations cost projections. You will also need to account for the personnel needed to effectively operate the application and provide user support and service.
Working with an application for migration consulting firm such as Trianz can help you answer all these questions and more, ensuring that your application’s SaaS migration is an unqualified success. Trianz is a cloud app migration consulting firm with decades of experience providing cloud migration services to facilitate meaningful digital migrations. Additionally, we have partnered with ServiceNow, a leading cloud orchestration solution, to deliver unified, cloud-agnostic infrastructure management for our clients.
Get in touch with our consulting teams today and discover what our cloud migration solutions can do for you.
Contact Us Today
How important are cloud services? According to Gartner, more than $1.3 trillion in IT spending will be affected by the shift to the cloud by 2022. Cloud infrastructure has numerous advantages compared to traditional on-premise systems. In order to remain competitive in this shifting market, the question is no longer if you should migrate to the cloud, but how. Gartner has identified five common strategies for a successful cloud migration, dubbed the 5 Rs: Rehost Refactor Revise RebuildExplore
As a business grows and develops, so too will its IT infrastructure needs. To keep up with the increasing demand, businesses are searching for effective ways to scale their infrastructure at the same time expand its accessibility. One of the most effective solutions for this is cloud infrastructure migration.Explore
Business intelligence (BI) is one of the most valuable assets of a modern company. At the heart of the process is the collection, analysis, storage, and retrieval of vast amounts of data relevant to your organization. Handled poorly, this data can be more detrimental than helpful. A data warehouse prevents this by collecting, curating, and managing data from various diverse sources in a single central location.Explore
Change is one of the few constants in modern business. Technologies, regulations, products, and attitudes are forever shifting over time—it’s up to successful enterprises to shift with them or face getting left behind. Not long ago, data reporting was expensive, time-consuming, difficult, and sometimes impossible. Today, our data tools and solutions come with little costs and lots of insights. Data warehousing is the solution we didn’t know we needed.Explore
Business intelligence and data analytics are similar at first glance but have two starkly different purposes in the enterprise. BI refers to systems and tools that analyze corporate data for decision-making, while data analytics refers to the processing of raw data into a digestible format. Despite these differences, both can work together to fuel business growth and increase data value.Explore
A proper data governance strategy has become more vital than ever, thanks to the ratification of data protection regulations like the GDPR and CCPA. Despite this consensus, the CIO WaterCooler Data Governance Survey revealed that 53% of companies had only just started working on their enterprise data governance strategy in 2017.Explore