5 ways Google can help you succeed in the multicloud world
Are you prepared for a multicloud future?
Here are five reasons to partner with Google Cloud on your multicloud journey.
We are committed to an open cloud approach, and build solutions for you on top of the open source stack. This makes applications, data, and entire workflows easily portable between clouds as necessary and when it makes business sense.
We help you build and scale quickly, even if your developers work across multiple environments. We work with customers who are still largely on-premises, as well as those who operate in multiple clouds at once.
We created a run-anywhere Kubernetes platform with a Google Cloud backed control plane for consistent management at scale, that allows you to manage containerized applications anywhere.
We empower you to unlock insights from your data, regardless of where it resides, using our best-in-class analytics artificial intelligence and machine learning capabilities.
Our security tools help ensure that you can meet your policy requirements, protect critical assets and keep vital services running —even across multiple clouds.
Achieving operational and technical consistency across multiple cloud environments is a challenge for many organizations. While some competitors suggest an all-in-one cloud approach, being locked into a single vendor’s solutions can put you at risk: imagine that the provider is forced to suspend or terminate its cloud services due to regulatory changes or an unexpected outage. At Google Cloud, we don’t think it’s possible to fully address survivability requirements with a single proprietary cloud solution. Instead, following our open cloud approach can help you address executive and policymaker concerns.
An open cloud relies on open-source tools and open standards rather than proprietary tools and systems that lock you into one vendor. For organizations of all sizes and complexity, open cloud ensures development and operational consistency across environments, as well as effective management of infrastructure, apps, and data across the organization. Google’s open cloud approach brings Google Cloud services to different physical locations such as on-premises data centers, other public clouds and “edge” locations such as retail stores or telecommunications towers. At the same time, the open cloud approach leaves the governance and evolution of the services to Google Cloud.
All this is possible because Google is one of the largest contributors to the open-source ecosystem. We collaborate with the open-source community to develop technologies like Kubernetes and we roll these out as managed services. In doing so, you get maximum choice, increase the longevity and survivability of your IT investments, and gain access to the most innovative technologies—all while insulating yourself from managing open-source projects. In this era of distributed cloud, openness and interoperability empower faster innovation, tighter security, and freedom from vendor lock-in.
Our commitment to an open cloud also offers agility and flexibility. Your apps and data exist in a variety of locations, and we give you the ability to keep them there—or move them as needed. Flexibility reduces business risk, but it’s only possible if applications are portable. Anthos, the managed open platform that extends Google Cloud services and engineering practices to hybrid and multicloud environments, delivers that portability so you can modernize apps faster and establish operational consistency across them.
Choosing a partner with both a historical commitment to opensource solutions and a forward-looking commitment to openness is the best way to future-proof your multicloud strategy. When operating across multiple clouds, proprietary solutions may work as a quick fix today but leave you vulnerable and limit your options tomorrow. Learn more about our philosophy here
Build and scale quickly in any cloud
The speed of delivering functionality for customers is the new currency of business. Nowhere is this more true than in enterprise IT, where developers have to code and roll out feature releases quickly to keep up with competitors. This is complicated when development and platform teams try to make changes across more than one cloud. However, the companies who truly get development, rollout, and operations right can reap huge rewards.
With multicloud, developers can use the best services from each cloud and run each workload in the right place. The hard part is creating some level of repeatability across all these environments. How a developer deploys to a hypervisor or container environment on-premises is very different from how they deploy to an app-centric platform in the cloud. There are different requirements for how to package up the software, different deployment tools, and different handoffs or automated integrations to expose the application for use. Can we normalize it? Indeed, we can, by creating a consistent developer experience for the inner loop, and a standard deployment API for every environment.
Research suggests that, when it comes to the velocity of software delivery, the separation between the best and the rest is quite significant. The DevOps Research and Assessment (DORA) team finds that companies with the most sophisticated software delivery practices (who DORA identifies as “Elite performers”) deploy code 200 times more frequently than low performers, while having only a seventh of the change failure rate. Elite performers are also two times more likely to meet or exceed their goals for organizational performance.
How can your organization become an elite performer? First, you need a common compute stack that’s automatically updated. At its core, the stack should be something standard that enterprises can tailor with unique applications. It should be open source, so that it works in any environment, without vendor lock-in. It should accommodate legacy systems, since there’s too much critical technology to be able to port it all over. And it needs to run on-premises, in the cloud, and on the edge— wherever a business needs it.
