Cloud Data Strategy

Companies have long since realized the agility and cost benefits of running on cloud infrastructure instead of maintaining their own data centers. Increasingly, high-performing IT organizations are moving from merely using bare cloud infrastructure to consuming cloud services, reducing management overhead and improving development speed.

As the cloud landscape has grown, several parallel evolutions have taken place in the way organizations develop and deploy software. Waterfall processes, too slow and inflexible for modern development, were replaced with agile development methodologies. The DevOps movement took this one step further with cross-functional and self-reliant teams including operations personnel to ease the transition from development to deployment, and sparked new tools and systems to smooth this process. This necessitated an evolution in application architecture, so monoliths are increasingly being replaced by microservices, making it easier to add new features and integrate with other services. Most recently, forward-looking development organizations commingle custom-built microservices with serverless functions and third-party services, speeding development by taking advantage of more advanced building blocks.

Data is at the heart of every application and crucial to every business. As you move to the cloud – or toward greater use of the cloud – you’ll make important decisions about how and where to store your data. Starting your cloud journey with a well-thought-out Cloud Data Strategy will pay dividends in avoiding missteps, stopping data gravity from producing data black holes, and preserving portability for the future.

The right Cloud Data Strategy for you will depend on both your current state and your desired state. The farther right you move on the cloud continuum, the more of the cloud’s benefits you realize. Using fully managed cloud services wherever possible provides the most value, but that’s not the right choice for every company. You may choose a private cloud model if you need to control your infrastructure for regulatory or compliance reasons, or if you can't move off of existing assets until they're depreciated. Some use cases may require a hybrid approach between the public cloud and a private cloud.

Wherever you are on your cloud journey, MongoDB can help.

MongoDB’s Cloud Factory helps your organization take a cloud-first stance on MongoDB application development. Our professional services team works with you to develop and implement the standards and processes for successful use of MongoDB in the cloud.

First, we collaborate with your teams to develop a Cloud Operating Model covering the People, Process, and Technology aspects of developing and deploying cloud-first applications within the enterprise. MongoDB’s Cloud Operating Model comprises six core pillars; we work with you to define and implement these according to your organization’s specific requirements.

The Cloud Operating Model serves as a foundation for both development of new applications in the cloud and migration of existing workloads. We then analyze your application portfolio to rapidly and iteratively identify applications most suitable for migration to the cloud and provide technical expertise and best practices for selected applications throughout the application development lifecycle.

MongoDB fits every stage of a journey to the cloud. Whether you’re a cloud-first company or just starting to migrate out of your own data centers, MongoDB runs where you want your data to be. Some cloud databases lock you into a single cloud and deployment model, but MongoDB offers full optionality.

The cloud improves development velocity; shouldn’t you choose a data platform that does the same? Don’t accept anything less than the best; only MongoDB delivers the flexibility you want with the full feature set that you need.

The cloud lets you deploy anywhere in the world across distributed compute resources – why try to force fit a monolithic, vertically scaled database? For cloud-native architecture, use a data platform that manages data distribution intelligently and offers true global scale.