What is a mul­ticloud en­vir­on­ment? Defin­i­tion and how it works

A mul­ticloud describes the sim­ul­tan­eous use of cloud services from multiple cloud providers to combine resources, per­form­ance, and features in a targeted way based on your needs. Different clouds, such as public, private, or hybrid, can be used in parallel without being tied to a single provider, enabling greater flex­ib­il­ity, re­si­li­ency, and op­tim­isa­tion of per­form­ance and costs.

What is a mul­ticloud?

A mul­ticloud describes the sim­ul­tan­eous use of cloud services from multiple providers to flexibly dis­trib­ute workloads, data, and IT resources across different platforms. Different cloud models, such as a private cloud or public cloud from different providers, can be used at the same time. The goal is to use the cloud solution best suited to each task and thereby optimise per­form­ance, costs, security, and com­pli­ance. This approach is often im­ple­men­ted through a mul­ticloud ar­chi­tec­ture that defines how services interact across platforms.

What’s important is the dif­fer­ence from a hybrid cloud. A hybrid cloud combines a private cloud or internal in­fra­struc­ture with at least one public cloud so that these en­vir­on­ments can be in­teg­rated and managed together, and data or workloads can be moved between them. In contrast, a mul­ticloud describes the parallel use of multiple cloud services from different providers or models without ne­ces­sar­ily being directly in­teg­rated, so you can use the platform best suited to each task.

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How does a mul­ticloud work?

Cloud services from different providers cover different re­quire­ments. While solution A may offer lots of storage space and fast computing power, solution B may excel in data security and data com­pli­ance. With a mul­ticloud strategy, you don’t have to choose one or the other; instead, you can select the cloud best suited to each task and ul­ti­mately manage all services within a single or­gan­isa­tion­al structure. In practice, this often means designing a mul­ticloud ar­chi­tec­ture that defines how workloads, data flows, and policies are handled across platforms.

To run a mul­ticloud en­vir­on­ment ef­fi­ciently, services and ap­plic­a­tions must be carefully co­ordin­ated and managed. Key tasks include:

• Mon­it­or­ing and con­trolling the different cloud resources
• Data exchange between clouds
• Con­sist­ent access per­mis­sions and identity man­age­ment
• AI-powered or­ches­tra­tion to auto­mat­ic­ally co­ordin­ate resources, workloads, and security policies across multiple clouds
• Central identity, policy, and en­cryp­tion mech­an­isms to ensure a con­sist­ent security level and meet reg­u­lat­ory re­quire­ments such as the UK GDPR or industry-specific com­pli­ance re­quire­ments

Without mul­ticloud man­age­ment, com­plex­ity in cloud computing can grow quickly, because teams have to align and manage multiple APIs, toolsets, and security models across providers.

What scenarios call for a mul­ticloud en­vir­on­ment?

By defin­i­tion, mul­ticloud doesn’t specify how ex­tens­ively different cloud services are used. In practice, anyone who uses services from more than one cloud provider is already working with multiple clouds, for example by combining different email or storage solutions. In a pro­fes­sion­al IT context, however, mul­ticloud usually means the de­lib­er­ately co­ordin­ated use of cloud services from different providers. Workloads, data, and services are dis­trib­uted stra­tegic­ally so each platform is used where it delivers the most value.

This approach is mainly aimed at or­gan­isa­tions that run internal or external cloud servers and want to use multiple cloud services in parallel, for example to better meet re­quire­ments around flex­ib­il­ity, per­form­ance, high avail­ab­il­ity, or com­pli­ance. In most cases, this requires clear co­ordin­a­tion and mul­ticloud man­age­ment, because different platforms, APIs, and security models need to work together.

If these pre­requis­ites are in place, there are several reasons to switch to a mul­ticloud setup:

• Optimise your IT in­fra­struc­ture: Use a wider choice of providers and apply cloud hosting to scale compute and storage more precisely while reducing op­er­a­tion­al overhead.
• Get the best out of each ap­plic­a­tion: If you use tools designed for different eco­sys­tems (e.g., workloads optimised for Amazon, Google, or Microsoft), mul­ticloud helps you run each service where it performs best.
• Strengthen data security: Keep sensitive data isolated from other workloads and place it on platforms that meet your specific security and com­pli­ance needs.
• Increase re­si­li­ence: Dis­trib­ute data and critical processes across multiple clouds to reduce the impact of outages and minimise the risk of downtime or data loss.

An overview of the pros and cons of mul­ticloud

Some of the ad­vant­ages and dis­ad­vant­ages of mul­ticloud have already emerged in the sections above. To make the com­par­is­on easier, here’s a quick summary of the most important points: