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.
Long lead times to procure and provision hardware kill innovation. Longer times to market and lower developer productivity are a competitive disadvantage.
A capex-intensive model means high upfront costs. When you try to plan capacity months or years in advance, you’ll either waste money to overprovision or strangle future growth.
The on-prem model is a poor fit for agile development and deployment, limiting the impact of new development methodologies and technologies.
Managing on-prem infrastructure takes entire teams, while waiting on provisioning and day-to-day operational needs eats up developers’ time as well
The cloud offers solutions, but simply lifting and shifting won’t deliver the agility and cost savings you want – and can even make the situation worse. Moving workloads as-is retains all the limitations of the legacy application architecture and can cost 15% more.1 Meanwhile, migrating to the cloud without a proper strategy introduces new issues.
Moving an application or service into the cloud is the right time to review its architecture; lifting and shifting delivers minimal benefits and can end up costing more.
The cloud promises efficiencies, but self-managing everything in the cloud is hardly better than managing it on-prem.
Securing data on-prem is complex but understood, while moving to the cloud requires understanding and protecting against new threat models.
Migrating to the cloud without planning to preserve portability can lead to being locked in to a single cloud vendor that could raise prices, deprecate services, or decide to compete with your business.
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 in to 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.
MongoDB’s document data model is much more natural to developers than the relational tabular model, and you maintain the same ACID data integrity guarantees you are used to
Unifying data in rich MongoDB documents means your developers write less code and your users get better performance when accessing data
A flexible data model is essential to accommodate agile development and continuous delivery of new features: adapt your schema as your apps evolve, without disruption
Process data in any way your applications require, from simple queries to complex aggregations, analytics, faceted search, geospatial processing, and graph traversals
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.
MongoDB Atlas delivers the world’s leading database for modern applications as a fully automated cloud service with the operational and security best practices built in. Easily deploy, operate, and scale your databases across the leading cloud platforms.
Stitch accelerates application development with simple, secure access to data and services from the client with thousands of lines less code to write and less infrastructure to manage – getting your apps to market faster while reducing operational costs and effort.
MongoDB Ops Manager is the best way to run MongoDB in a private or hybrid cloud environment, making it fast and easy for your team to deploy, monitor, back up and scale MongoDB on your own infrastructure. Integration with Kubernetes/OpenShift delivers complete control of MongoDB within your private cloud deployment.