Differences in Cloud Deployment Models

Akins IT • January 26, 2016
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Cloud computing comes in many flavors and has evolved in recent years. In the new world of the hybrid cloud, which is an environment that employs both private and public cloud services. Companies are realizing that they need many different types of cloud services in order to meet a variety of customer needs.


The growing importance of hybrid cloud environments is transforming the entire computing industry as well as the way businesses are able to leverage technology to innovate. Economics and speed are the two greatest issues driving this market change.


There are two primary deployment models of clouds: public and private. Most organizations will use a combination of private computing resources (such as data centers and private clouds) and public services, where some of the services existing in these environments touch each other which is equivalent to a hybrid cloud environment.


Public Cloud


The public cloud is a set of hardware, networking, storage, services, applications, and interfaces owned and operated by a third party for use by other companies or individuals. These commercial providers create a highly scalable data center that hides the details of the underlying infrastructure from the consumer.


Public clouds are viable because they typically manage relatively repetitive or straightforward workloads. For example, electronic mail is a very simple application. Therefore, a cloud provider can optimize the environment so that it is best suited to support a large number of customers, even if they save many messages.


Public cloud providers offering storage or computing services optimize their computing hardware and software to support these specific types of workloads. In contrast, the typical data center supports so many different applications and so many different workloads that it cannot be optimized easily.


Private Cloud


A private cloud is a set of hardware, networking, storage, services, applications, and interfaces owned and operated by an organization for the use of its employees, partners, and customers. A private cloud can be created and managed by a third party for the exclusive use of one enterprise.


The private cloud is a highly controlled environment not open for public consumption. Thus, a private cloud sits behind a firewall. The private cloud is highly automated with a focus on governance, security, and compliance.


Automation replaces more manual processes of managing IT services to support customers. In this way, business rules and processes can be implemented inside software so that the environment becomes more predictable and manageable.


Hybrid Cloud


A hybrid cloud is a combination of a private cloud combined with the use of public cloud services where one or several touch points exist between the environments. The goal is to combine services and data from a variety of cloud models to create a unified, automated, and well-managed computing environment.


Combining public services with private clouds and the data center as a hybrid is the new definition of corporate computing. Not all companies that use some public and some private cloud services have a hybrid cloud. Rather, a hybrid cloud is an environment where the private and public services are used together to create value.

By Shawn Akins October 20, 2025
October 20, 2025 — Early today, Amazon Web Services experienced a major incident centered in its US‑EAST‑1 (N. Virginia) region. AWS reports the event began around 12:11 a.m. PT and tied back to DNS resolution affecting DynamoDB , with mitigation within a couple of hours and recovery continuing thereafter. As the outage rippled, popular services like Snapchat, Venmo, Ring, Roblox, Fortnite , and even some Amazon properties saw disruptions before recovering. If your apps or data are anchored to a single cloud, a morning like this can turn into a help‑desk fire drill. A multi‑cloud or cloud‑smart approach helps you ride through these moments with minimal end‑user impact. What happened (and why it matters) Single‑region fragility: US‑EAST‑1 is massive—and when it sneezes, the internet catches a cold. Incidents here have a history of wide blast radius. Shared dependencies: DNS issues to core services (like DynamoDB endpoints) can cascade across workloads that never directly “touch” that service. Multi‑cloud: practical resilience, not buzzwords For mid‑sized orgs, schools, and local government, multi‑cloud doesn’t have to mean “every app in every cloud.” It means thoughtful redundancy where it counts : Multi‑region or multi‑provider failover for critical apps Run active/standby across AWS and Azure (or another provider), or at least across two AWS regions with automated failover. Start with citizen‑facing portals, SIS/LMS access, emergency comms, and payment gateways. Portable platforms Use Kubernetes and containers, keep state externalized, and standardize infra with Terraform/Ansible so you can redeploy fast when a region (or a provider) wobbles. (Today’s DNS hiccup is exactly the kind of scenario this protects against.) Resilient data layers Replicate data asynchronously across clouds/regions; choose databases with cross‑region failover and test RPO/RTO quarterly. If you rely on a managed database tied to one region, design an escape hatch. Traffic and identity that float Use global traffic managers/DNS to shift users automatically; keep identity (MFA/SSO) highly available and not hard‑wired to a single provider’s control plane. Run the playbook Document health checks, automated cutover, and comms templates. Then practice —tabletops and live failovers. Many services today recovered within hours, but only teams with rehearsed playbooks avoided user‑visible downtime. The bottom line Cloud concentration risk is real. Outages will happen—what matters is whether your constituents, students, and staff feel it. A pragmatic multi‑cloud stance limits the blast radius and keeps your mission‑critical services online when one provider has a bad day. Need a resilience check? Akins IT can help you prioritize which systems should be multi‑cloud, design the right level of redundancy, and validate your failover plan—without overspending. Let’s start with a quick, 30‑minute review of your most critical services and RPO/RTO targets. (No slideware, just actionable next steps.)
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