Multicloud - How it works and why AI is indispensable

Jan Schäfer

Hybrid and multicloud infrastructures provide companies with a high level of flexibility, efficiency and scalability for their applications and processes. It is therefore no wonder that more and more organizations are distributing their services across different cloud environments.

The Data Act that came into force will further accelerate this development. This is because the Data Act should enable users to switch seamlessly between different cloud providers. In practice, this should make it easier for companies to combine data services from different platforms.

But how exactly does a multicloud actually work? We show the advantages, benefits and challenges of the multicloud approach and explain why the use of artificial intelligence is essential.

The most Important in a Nutshell

  • A multicloud refers to the use of several cloud services for different purposes.
  • The benefits of a multi-cloud include reliability and flexibility in the choice of provider.
  • The challenges of the multi-cloud are, for example, the interoperability between the clouds and the complexity of administration.
  • Among other things, artificial intelligence in the cloud provides in-depth data analyses and enables cross-cloud automation of important processes.
  • Konfuzio's AI Cloud offers companies a robust and scalable infrastructure with which you can provide innovative AI solutions for your data management in the cloud. Let one of our experts advise you now on the use of cloud AI in your company!

Multicloud - Definition

A multicloud describes the use of multiple cloud services or platforms by a company. Instead of relying on a single cloud infrastructure, a multicloud strategy distributes workloads, applications and data across different cloud providers. This enables companies to benefit from the advantages of different cloud services, such as scalability, flexibility and geographical distribution.

There can be many reasons for implementing a multicloud infrastructure. These include avoiding vendor lock-in, increasing resilience and meeting certain compliance requirements.

Companies therefore place specific workloads in different clouds in the way that best suits their requirements - be it in terms of performance, data protection or geographical proximity to end users.

Multicloud management requires special tools and strategies to ensure smooth integration as well as a high level of security and efficiency. It is particularly important to orchestrate resources effectively and ensure that the various cloud platforms communicate seamlessly with each other.

multi cloud vs hybrid cloud

Multi Cloud vs. Hybrid Cloud

Multi cloud and hybrid cloud are both strategies that support companies in managing their IT resources. The approaches score particularly well in terms of flexibility, reliability and complexity, but in different ways in some cases.

Multi Cloud

With multicloud, companies use services from several cloud providers. It involves the distribution of applications and workloads across different cloud platforms.

Flexibility: Multicloud offers a high degree of flexibility, as companies can choose from a wide range of services from different providers. This makes it possible to adapt to specific requirements and avoid vendor lock-in.

Reliability: By distributing resources across different clouds, organizations increase resilience. If one provider has problems, they move workloads to other providers.

Complexity: Managing a multicloud environment can be complex, as companies need to coordinate and integrate different platforms. This requires special multicloud tools and well thought-out orchestration.

Hybrid Cloud

A hybrid cloud combines public and private cloud resources. Companies use both cloud services and local resources, resulting in seamless integration.

Flexibility: A hybrid cloud offers flexibility by combining the advantages of public and private clouds. This allows companies to keep sensitive data local while using cloud services for scalability and efficiency.

Reliability: By combining local and cloud resources, organizations improve resilience. In the event of problems in one environment, they move workloads to the other.

Complexity: Managing a hybrid cloud also requires special tools to facilitate the integration between local and cloud infrastructures. However, there is often less complexity than with a pure multi-cloud.

Multi Cloud vs. Hybrid Cloud - Which is the better choice?

Both approaches have their advantages and disadvantages. Multicloud offers a wide range of services and high flexibility, but requires more complex management. Hybrid cloud has a balanced solution between local and cloud resources, which can result in a less complex environment. In practice, however, the choice between multi-cloud and hybrid cloud depends on a company's specific requirements and objectives. A hybrid multicloud - i.e. a mixture of multicloud and hybrid cloud - can also be the right solution.

Multicloud - Benefits

In practice, a multi-cloud deployment offers companies these advantages:

Flexibility and choice

A multi-cloud architecture offers companies the opportunity to choose from a wide range of cloud services from different providers. This flexibility makes it possible to use the best solutions for specific requirements.

Example: A company uses AWS for scalable computing power, but at the same time Microsoft Azure for specialized AI services. This enables it to utilize the advantages of both platforms without being tied to a single provider.

Avoidance of vendor lock-in

Multicloud solutions reduce the risk of Vendor lock-in, as companies are not tied to a single cloud provider. This makes it easier to migrate services or workloads between different providers.

Example: If a company discovers that another cloud provider offers better conditions or services, it can quickly and easily switch to this provider and benefit from the improved conditions. The Data Act, which has just come into force, makes this even easier.

Fail-safe 

By distributing workloads across different cloud platforms, the multicloud increases reliability. In the event of disruptions or failures at one provider, companies move critical applications to other platforms.

Example: A company that operates its services on both AWS and Google Cloud can continue to operate smoothly in the event of an outage at one provider by switching to the resources of the other provider.

Optimization of costs

Multicloud computing enables companies to optimize costs by using the tariffs and pricing models of different providers. This allows a more efficient use of resources and budget control.

Example: A company chooses a cloud provider that offers cheaper data storage options for data-intensive applications, while using a different provider with cheaper computing resources for computing-intensive tasks.

Adherence to compliance requirements

A multi-cloud setup enables companies to meet compliance requirements by placing data in regions that meet legal and regulatory requirements.

Example: A company that operates in different countries stores sensitive data in accordance with the data protection laws of the countries in the respective cloud regions and thus ensures compliance.

multicloud challenges

Multi-Cloud Challenges

Despite these advantages, companies face a number of challenges with multicloud integration. To overcome these, they need to plan and manage the implementation and management of the clouds carefully. These are the main challenges of a multi-cloud:

Complexity of the administration

Managing resources across multiple cloud providers can be extremely complex. Companies have to coordinate and integrate different interfaces, management tools and policies.

Example: One company uses AWS for scalable computing power and IBM for data analytics. The management of user access, security policies and data migration between these platforms requires careful coordination.

Data integration and interoperability

Organizations need to move and integrate data seamlessly between different clouds. Different data formats and protocols can make interoperability difficult.

Example: A company stores customer data in one cloud for analysis and transaction data in another for compliance. Integrating this data for comprehensive business analytics requires effective interoperability.

Security and Compliance

Ensuring security and compliance across different cloud platforms is demanding. Companies are faced with the challenge of meeting different security standards and compliance requirements.

Example: A financial services provider uses both Salesforce and Microsoft Azure. The security policies and data protection regulations of these can vary, which requires careful configuration and monitoring to ensure that all regulations are adhered to.

Latency and network complexity

The distribution of workloads across different clouds can lead to latency problems. Configuring and optimizing the network for efficient communication between multicloud services is a challenge.

Example: A company uses AWS for front-end applications and Microsoft Azure for back-end services. Efficient communication between the two clouds is crucial to ensure a smooth user experience.

Why Artificial Intelligence is indispensable for Multi-Cloud Environments

In order to not only manage a multi-cloud without errors, but also to use it efficiently, companies need centralized management of applications and resources in the various clouds - as if they were part of a single cloud. They also need functions that automate assets across environments. This requires not only a multicloud tool, but also a powerful artificial intelligence, that supports the tool. This is because advanced automation functions limit the complexity of the environment and increase the performance and security of applications.

ai cloud from konfuzio

Efficient Use of Multicloud Infrastructure with the AI Cloud from Konfuzio

An AI cloud brings artificial intelligence, machine learning and comprehensive data analyses in a multicloud environment. In practice, this enables companies to maintain data sovereignty, use resources efficiently and ensure greater data security.

To facilitate work across multiple clouds, the Cloud AI from Konfuzio offers a collaborative environment that makes it easy for companies to create, deploy and monitor machine learning models. Konfuzio has a simple interface for this. In practice, this means that companies have a robust and scalable infrastructure with which they can provide innovative solutions for their data management in the cloud. This enables them to efficiently analyze large volumes of data and make well-founded business decisions based on it. We show what other pioneering functions Konfuzio offers for a multicloud in our overview of the AI Cloud.

Talk to one of our experts now and find out how you and your company can benefit from Konfuzio's Cloud AI!

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