Hybrid cloud is an infrastructure model that combines your own resources —a data center, servers on premises— with public cloud services, connected and managed as one integrated environment. Instead of choosing between “everything in my data center” or “everything in the cloud,” the company decides where each workload runs based on its requirements.
What changes between one implementation and another is not the label: it is whether the architecture was designed or simply happened.
How does a hybrid cloud work?
For two such different environments to operate as one, a well-designed hybrid architecture solves three planes:
- Connectivity: a reliable, secure link between your premises and the cloud — from an encrypted VPN to a dedicated private connection. The entire experience depends on its latency and availability.
- Identity and security: a single model for access, permissions, and auditing that covers both environments. Users and applications authenticate the same way, wherever they run.
- Operations: common tools for deployment, observability, and governance, so the team manages both worlds with the same practices instead of duplicating effort.
When these three planes are solved, the physical location of each workload becomes an architecture decision — and stops being a limitation.
Hybrid cloud architecture: the decisions that define it
A hybrid cloud architecture comes down to three concrete decisions. Getting them right is the difference between an integrated environment and two separate infrastructures joined by a cable.
How the two worlds connect
The link determines which applications can be split across both environments and which cannot. There are three common patterns, in increasing order of demand:
| Connection pattern | When it is used | What to keep in mind |
|---|---|---|
| Encrypted VPN over the internet | Starting point, workloads tolerant of latency variation | Depends on corporate internet; latency varies with congestion |
| Dedicated private link | Constant, high-volume traffic; stable latency requirements | Requires a carrier contract and implementation lead time |
| AWS services on site or in the city | Millisecond latency next to the operation | Managed as cloud, not as your own server |
The practical rule: if an application needs constant round trips between both environments to answer a user, the connection becomes the critical component of the design. When that happens, the right answer is usually to move the coupled components together, not to reinforce the link.
Where each data set lives and which way it moves
This is the decision that most defines the outcome and the one most often postponed. For each data set it pays to answer three questions: where the authoritative copy resides, in which direction it replicates, and what happens if the link goes down.
The most frequent antipattern is leaving the database in the data center and moving the applications that query it to the cloud. It works in testing and degrades in production, because every application operation crosses the link. When data must stay on site for regulatory reasons, the right move is to bring compute closer to the data, not further away.
How the whole is governed
Two environments with two permission models, two monitoring tools and two deployment processes are not a hybrid cloud: they are twice the work. Unifying identity, audit logging and automation is what makes hybrid sustainable over time, and it is usually where the real savings of the project sit.
Hybrid cloud vs multicloud
They are often mentioned together, but they answer different questions:
| Dimension | Hybrid cloud | Multicloud |
|---|---|---|
| What it combines | Own infrastructure + public cloud | Two or more public clouds |
| Question it answers | What stays on premises and what moves to the cloud? | Which provider do I use for each service? |
| Typical motivation | Gradual migration, latency, data requirements | Provider diversification |
| Main complexity | Integrating two different operating models | Multiplying tools and skills per provider |
A company can be both at once, though each dimension adds real operational complexity. The right question is always the same: what concrete business requirement justifies each piece?
What multicloud is, and when it genuinely pays off
Multicloud is the deliberate use of two or more public cloud providers within the same organisation. The key word is deliberate: a good share of environments described as multicloud got there without deciding it — through acquisitions, departmental purchases, or a service contracted outside the technology area.
There are two kinds of multicloud, and it is worth not confusing them:
- Multicloud by specialisation. Each workload runs on the cloud that solves it best, and each cloud handles its own end to end. This is the pattern that works: complexity is paid once, in team skills, and not on every transaction.
- Multicloud by defensive duplication. The same workload is kept ready to run on two clouds so as not to depend on either. This is the expensive pattern: it forces design on the lowest common denominator of both —giving up the managed services that justify being in the cloud in the first place—, duplicates tooling and pipelines, and requires sustaining two skill sets in a market where sustaining one is already hard.
On the most cited motivation, provider lock-in, there is a nuance worth holding onto: the cost of switching rarely sits in the compute layer, which is the most portable. It sits in the data, in the integrations, and in what the team knows how to do. An architecture with well-bounded data and automation described as code reduces that dependency far more than running the same application on two clouds at once.
And a practical difference from hybrid: multicloud multiplies governance work —two identity models, two cost structures, two ways of auditing— while a well-built hybrid unifies it. That is why most companies end up hybrid out of necessity and multicloud only where a concrete reason sustains it.
When does hybrid cloud make sense?
Hybrid is the right answer when there is a concrete requirement behind it:
- Gradual migration: moving everything at once concentrates risk. A hybrid architecture lets you migrate in stages — already-migrated workloads operate in the cloud while the rest stays in the data center, with both worlds connected.
- Very low latency: industrial processes, trading, or plant-floor systems that need millisecond responses close to the physical operation.
- Data location requirements: regulatory frameworks that require certain data to remain in a specific location, while the rest of the application leverages the cloud.
- Legacy systems with physical dependencies: applications coupled to specific hardware that are better modernized first and moved later.
The most frequent pattern among Peruvian companies is the first: hybrid as a stage of a planned migration, where the share running in the cloud grows wave by wave until the data center is reserved for what truly needs it.
Hybrid cloud on AWS
AWS has spent years extending its services into customers’ premises, which lets you build hybrid with the same tools and APIs as the cloud:
- AWS Outposts: physical AWS infrastructure installed in your own data center, as a rack and with smaller-footprint variants for space- or power-constrained sites. The same AWS services, APIs, and tools, running on your premises — ideal for low latency or data that must stay on site.
- AWS Local Zones: they bring compute, storage and other selected services closer to large population and industry centers, delivering low-latency access without installing your own hardware. There is a Local Zone available in Lima, associated with the AWS region in Virginia — a relevant option for applications that need to sit close to Peruvian users and that previously were only solved with servers on premises. We cover it on our AWS in Peru page.
- AWS Direct Connect: a private, dedicated network connection between your premises and AWS, with consistent latency and more bandwidth than an internet link. It can be contracted as a dedicated connection or through a partner.
- AWS Site-to-Site VPN: an encrypted connection over the internet between your network and AWS — the usual starting point before a dedicated link.
- Amazon ECS Anywhere and EKS Anywhere: run containers on your own servers with the cloud’s operating model — including Kubernetes. ECS Anywhere is orchestrated from the AWS control plane; EKS Anywhere creates Kubernetes clusters on site with the same tooling as Amazon EKS.
This family of services has a strategic implication: the operating model unifies with the cloud’s. The team learns a single way of working, and each workload runs where its requirements demand.
Hybrid is designed; the destination is decided per workload
There is an important difference between a designed hybrid cloud and an inherited one. The inherited kind is the result of migrating halfway: some things in the cloud, others in the data center, with improvised connections and two duplicated operating models. The designed kind starts from an explicit decision per workload: what moves, what stays, why, and until when.
That per-workload decision is the heart of a well-crafted cloud strategy. And when the plan calls for moving workloads to the cloud, a structured migration with the AWS MAP methodology moves them in stages, with risk controlled at every wave.
At Caleidos we support both moments: defining the map —what runs where and why— and executing the move. Shall we talk? Reach us at Contact or browse our success stories.
