Hybrid cloud architecture: How hybrid clouds connect cloud technologies

Most enterprises do not start their cloud strategy with an empty data center.

They already have applications, databases, private infrastructure, security controls, and years of operational history. Some workloads can move to the public cloud. Others need to remain close to physical equipment, sensitive data, legacy systems, or regulated environments.

Hybrid clouds connect these worlds.

A hybrid cloud architecture combines on-premises or private cloud infrastructure with public cloud services so applications and data can work across both. The goal is not to put every workload everywhere. It is to place each workload in the computing environment where its latency, security, cost, sovereignty, and operating requirements make sense.

This distinction matters as cloud decisions become less binary. Gartner’s 2026 research says cloud architects are reassessing workload placement as AI, sovereignty requirements, and changing operating models affect cloud strategy.

Avenga’s cloud services cover public, private, and hybrid cloud infrastructure, migration, operations, and modernization.

Key takeaways

• Hybrid clouds combine environments rather than replacing one with another. Companies can connect private infrastructure, on-premises systems, public cloud resources, and edge locations.
• Workload placement is the central architecture decision. Data sensitivity, latency, resilience, cost, and local dependencies determine where an application should run.
• A hybrid cloud needs common connectivity, identity, security, observability, and management. Without them, teams are simply operating separate environments.
• Public cloud adds elastic resources and managed services. Private cloud gives organizations more direct control over infrastructure and data.
• Hybrid cloud is different from multi-cloud. Multi-cloud means using services from multiple cloud providers. Hybrid clouds specifically connect different deployment environments.
• The architecture can support modernization without forcing immediate migration. Legacy applications can remain local while newer services run in cloud environments.

What is hybrid cloud architecture?

Hybrid cloud architecture is a computing design that connects private or on-premises infrastructure with a third-party public cloud.

AWS defines hybrid cloud as infrastructure that integrates internal IT resources with external cloud provider infrastructure and services. Applications and data can then operate across several environments while teams manage compute resources across them.

A typical hybrid cloud environment can include:

• On-premises servers
• Private cloud
• Public cloud
• Cloud storage
• Networking
• Identity services
• APIs
• Management tools
• Edge infrastructure

Hybrid cloud architecture combines these components into one operating model.

The connection is important. Running one local server and one unrelated cloud application does not automatically create a useful hybrid architecture.

The environments need controlled ways to exchange data, authenticate users and systems, monitor workloads, and enforce policy.

How does hybrid cloud architecture work?

At a high level, hybrid cloud architecture works by integrating local infrastructure with external cloud resources through networking, common identity, APIs, management services, and data connections.

Consider a bank with a payment application.

Sensitive transaction records may remain in a private cloud or on-premises system. A customer-facing application could run in a public cloud. Analytics might use public cloud compute power, while selected financial data remains subject to stricter local controls.

The architecture needs to connect those pieces.

Connectivity

Hybrid clouds usually rely on networking such as:

• VPN
• Dedicated private connections
• SD-WAN
• Cloud interconnect services
• Secure APIs

The appropriate connection depends on latency, bandwidth, availability, and security needs.

Microsoft’s current Azure architecture guidance recommends starting with workload requirements rather than server location, keeping compute local when latency, physical-system dependencies, data restrictions, or operational independence justify it.

Identity and access

Employees, services, and applications need consistent identity controls across different cloud environments.

Otherwise, every platform develops separate accounts, permissions, and access policies.

Data integration

Applications need controlled methods for exchanging information between public and private cloud environments.

Data can move through:

• APIs
• Replication
• Event streams
• ETL or ELT pipelines
• Shared storage patterns

Not all data needs to move.

In some designs, data stays in a private cloud while processing or application logic calls it through a controlled interface.

Management and observability

Teams need visibility across the hybrid environment.

That includes:

• Logs
• Metrics
• Costs
• Infrastructure health
• Security events
• Application performance

Hybrid cloud management becomes difficult when every environment has a separate operating model.

Automation

Infrastructure as code and automated provisioning can reduce differences between environments.

Teams can define repeatable patterns for infrastructure, policies, and deployment instead of configuring each system manually.

Key components of hybrid cloud architecture

A component of hybrid cloud architecture usually falls into one of six areas.

Component	Role
Private infrastructure	Hosts local or controlled workloads
Public cloud	Provides elastic compute and managed services
Networking	Connects cloud and on-premises environments
Identity and security	Controls users, services, and data
Management	Provides monitoring, policy, and operations
Integration	Moves data and application traffic between systems

A well-planned hybrid cloud setup makes these parts work together without requiring every workload to use the same technology.

Public cloud and private cloud in one architecture

Public and private cloud environments solve different problems.

Public cloud

A public cloud gives organizations access to shared provider infrastructure and a large catalog of services.

Common providers include AWS, Microsoft Azure, and Google Cloud Platform.

Public cloud resources are useful for:

• Variable demand
• Managed databases
• Analytics
• AI
• Backup
• Development environments
• New digital applications

The scalability of public cloud services is one reason companies use them for workloads with changing demand.

Private cloud

A private cloud provides cloud-style provisioning and management on infrastructure dedicated to one organization.

Companies may choose a private cloud for sensitive data, predictable workloads, specialized hardware, or stronger infrastructure control.

Private cloud environments can run in an organization’s data center or through hosted infrastructure.

On-premises infrastructure

Not every local system is a private cloud.

Conventional on-premises infrastructure may include physical servers, legacy software, appliances, and databases without cloud-style orchestration.

Hybrid clouds often need to connect all three.

Benefits of hybrid cloud architecture

Workload placement

The main benefit of hybrid cloud is choice.

Companies can decide where each application and dataset should run instead of applying one rule to the whole estate.

Gradual modernization

Legacy systems do not always need to migrate before cloud adoption begins.

A company can keep a core application on-premises while building new APIs, analytics, or customer applications in the public cloud.

Elastic capacity

Public cloud resources can add capacity when local infrastructure reaches its limits.

One pattern is cloud bursting, where additional demand is served through public cloud resources.

Not every application supports this pattern easily, but it can work when workloads are designed for distributed capacity.

Data control

Organizations can keep selected data in a private cloud or on-premises while using external cloud services for less sensitive workloads.

Resilience

Multiple environments can create more options for recovery and redundancy.

They can also create additional dependencies, so resilience has to be designed rather than assumed.

Access to cloud services

Companies can use managed databases, analytics, AI, Platform as a Service, and other cloud service capabilities without migrating the entire environment.

These advantages of hybrid cloud architecture explain why the model remains relevant even as public cloud adoption grows.

Gartner’s September 2026 research describes demand for a consistent cloud experience spanning public cloud, private cloud, and edge environments, with unified management and policy enforcement becoming a larger focus.

Common hybrid cloud use cases

Regulated data

A financial institution can keep regulated records under tightly controlled infrastructure while using cloud services for digital applications or analytics.

Legacy application modernization

An old application can remain on-premises while newer services are built around it in the cloud.

This allows modernization to happen in stages.

AI and data processing

Organizations may store sensitive information locally but use cloud compute resources for selected AI or analytics tasks.

The architecture must define what data can leave the local environment.

Disaster recovery

Cloud storage and compute can provide another recovery location for local systems.

Edge computing

Factories, hospitals, stores, telecommunications infrastructure, and other physical environments may need local processing because latency or connectivity prevents everything from running centrally.

Development and testing

Production systems can remain in private infrastructure while development teams use public cloud services for temporary environments.

Connect cloud and on-premises infrastructure around workload, security, and operating requirements.

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AWS and hybrid clouds

AWS itself is a public cloud provider, not a hybrid cloud.

It does, though, provide services for building hybrid clouds.

AWS Outposts extends AWS infrastructure, APIs, and services into customer facilities. Workloads can run locally while using the same AWS interfaces and connecting back to an AWS Region.

This can support workloads requiring:

• Low latency
• Local processing
• Data residency
• Dependency on nearby systems

AWS’s current hybrid guidance organizes architecture recommendations around networking, security, resilience, capacity planning, and infrastructure management.

Microsoft provides similar patterns through technologies such as Azure Arc and Azure Local, while Google Cloud supports hybrid models through its cloud and distributed infrastructure services.

Hybrid cloud vs multi-cloud

Hybrid cloud and multi-cloud are related but different concepts.

	Hybrid cloud	Multi-cloud
Main idea	Connect different deployment environments	Use more than one cloud provider
On-premises component	Usually present	Not required
Example	Private data center plus Azure	AWS plus Google Cloud
Main concern	Workload placement across local and cloud	Provider choice and distribution

A company can use both.

For example, private cloud and on-premises infrastructure may connect to both AWS and Google Cloud. That creates a hybrid and multiple cloud environment at the same time.

Using several cloud providers does not automatically make an application portable between them.

Each cloud vendor has different APIs, managed services, identity systems, and operating models.

Hybrid cloud strategy

A hybrid cloud strategy should begin with workloads, not providers.

1. Inventory applications and data

Document:

• Business purpose
• Dependencies
• Data sensitivity
• Availability
• Latency
• Compliance
• Cost
• Current infrastructure

2. Define workload placement rules

Decide what belongs in:

• Public cloud
• Private cloud
• On-premises
• Edge

These rules should explain why.

3. Design connectivity

Identify bandwidth, latency, resilience, and security requirements between environments.

4. Standardize identity

Define how users, applications, and machines authenticate across the architecture.

5. Establish cloud security

Security controls should cover:

• Identity
• Encryption
• Secrets
• Network access
• Logging
• Vulnerabilities
• Data protection

Avenga’s cybersecurity services can support security across cloud and distributed environments.

6. Define an operating model

Decide who owns:

• Infrastructure
• Cloud accounts
• Costs
• Security
• Patching
• Deployment
• Incident response

A hybrid cloud strategy can help only when responsibility is as connected as the technology.

Challenges of hybrid clouds

More architecture to manage

Hybrid clouds can reduce migration pressure while increasing infrastructure complexity.

Teams now need to operate different cloud services, networks, identities, and platforms.

Data movement

Moving large datasets between environments can create latency, bandwidth, and cost problems.

Security inconsistency

Different controls across cloud and local environments can produce gaps.

Skills

Teams need knowledge spanning cloud technologies, networking, infrastructure, security, automation, and existing enterprise systems.

Cost visibility

On-premises infrastructure and public cloud use different cost models.

Comparing them requires more than checking a monthly cloud bill.

Provider dependence

A hybrid cloud platform can still become tightly coupled to one cloud provider.

Organizations should decide deliberately where provider-specific services are worth that dependency.

Hybrid cloud architecture and AI

AI is making hybrid architecture relevant for another reason: compute and data do not always belong in the same place.

A company may need public cloud GPU resources while keeping regulated or proprietary datasets in local infrastructure.

Another may run inference near a factory because sending every event to a remote region creates too much latency.

IBM’s 2026 announcements reflect this direction, combining AI operations with hybrid cloud management, governance, and sovereignty controls across distributed environments.

The hybrid cloud model therefore becomes less about where servers sit and more about where data, compute, applications, and AI should meet.

A buyer may come to us with a cloud, data or AI requirement, but that need rarely exists in isolation.

Juan Villamil, Chief Technology Officer at Avenga

That is particularly true for hybrid clouds. Infrastructure decisions affect security, data, applications, operations, and increasingly AI.

Benefits of a hybrid cloud for regulated enterprises

Banking and financial services provide a useful example.

Financial institutions often operate large existing technology estates while facing requirements around data residency, security, resilience, and auditability.

A hybrid cloud approach can allow them to:

• Keep selected systems under tighter local control
• Build new digital services in a public cloud
• Connect legacy applications through APIs
• Use cloud analytics without immediately moving every dataset
• Maintain recovery infrastructure across locations
• Introduce AI according to specific data-access rules

The architecture does not remove compliance responsibilities.

It gives teams more options for meeting them.

FAQ

What is hybrid cloud architecture?

Hybrid cloud architecture connects private or on-premises infrastructure with public cloud services so applications, data, and compute can operate across different environments. Common components include networking, identity, security, integration, management, and automation.

What is an example of hybrid cloud architecture?

A bank might keep transaction systems and sensitive data in private infrastructure while running a mobile application and analytics services in a public cloud. Secure networking, APIs, identity controls, and monitoring connect the environments.

Is AWS a hybrid cloud?

AWS is primarily a public cloud platform, but it provides technologies for hybrid clouds. AWS Outposts, for example, brings AWS infrastructure and services into customer locations while connecting them with AWS Regions.

What are the four types of cloud architecture?

Cloud deployment models are commonly grouped into public cloud, private cloud, hybrid cloud, and multi-cloud architectures. Multi-cloud differs slightly because it describes using more than one cloud provider rather than a single deployment location.

Conclusion

Hybrid clouds exist because enterprise infrastructure rarely fits into one environment.

Some workloads benefit from the scalability of the public cloud. Others need local data access, existing infrastructure, specialized hardware, lower latency, or tighter control.

Hybrid cloud architecture connects those requirements.

The difficult part is not simply combining public and private cloud environments. It is deciding where workloads belong and building consistent networking, identity, security, automation, and operations around them.

Start with workloads. Define placement rules. Map dependencies. Decide what data can move. Then select the cloud technologies that support those decisions.

For organizations planning hybrid cloud infrastructure, migration, or cloud modernization, contact Avenga to discuss the architecture and engineering scope.