Multi-Cloud & Hybrid Cloud Services

The NIST definition of cloud computing (opens in a new tab) names private, community, public and hybrid deployment models. Marketing language has since added more terms, so it helps to pin down what is actually being proposed.

Distinguish deliberate multi-cloud from accidental multi-cloud. The first has a documented reason per workload. The second appears when teams or acquired companies chose different providers and nobody consolidated the oversight.

Ask what specific problem the added complexity solves, and whether a single-provider design with strong backups could solve it more simply.

• Valid reasons: regulation or contracts that require data on-premises or in a specific country; latency to factory floors or branch offices; a provider that is clearly best for one specialized service; customers who require a particular provider; an acquisition you cannot consolidate quickly.
• Weak reasons: a vague wish to avoid lock-in, negotiating leverage you will never exercise, or "everyone is doing it."
• Resilience reasons need care: surviving a single provider outage is possible, but a workload that is active in two providers needs data replication, tested failover and double the engineering. Many outages are better handled by spreading across zones or regions in one provider.

Good hybrid cloud services concentrate the technical work in a few shared layers. Decide each deliberately and standardize where you can.

• Networking: private links or VPN connections, address planning that avoids overlaps, DNS and traffic routing between environments. Network design is the most common source of delay.
• Identity: one identity source with single sign-on and consistent role definitions across environments.
• Infrastructure as code: a tool that can describe resources in several providers so environments are reproducible; the Terraform documentation (opens in a new tab) and OpenTofu documentation (opens in a new tab) cover two common options. See infrastructure as code services.
• Container platforms: a common application runtime, often built on Kubernetes (documentation (opens in a new tab)), so applications move with fewer changes.
• Observability: one view across environments, for example using OpenTelemetry (opens in a new tab) and a shared dashboard layer.
• Delivery pipelines: one release process that can target every environment.

Provider-offered hybrid tools extend a vendor's management layer to on-premises hardware. They can reduce effort within that vendor's ecosystem, but should be weighed against the neutral layers above.

Applications are movable. Large datasets are not. Data gravity is the tendency of applications and services to cluster near the data they use, because moving it is slow and carries transfer charges. Place workloads near their data first, then decide the rest.

Typical placement rules that work well:

1. Keep regulated or residency-bound data in the environment that satisfies the rule, and send only derived or anonymized data elsewhere.
2. Run latency-sensitive systems close to the users or machines that depend on them.
3. Put bursty or experimental workloads in the public cloud, where capacity is elastic.
4. Avoid chatty communication between environments; design interfaces that exchange fewer, larger messages.
5. Document every cross-environment data flow, including who can see it.

The more environments you run, the more important consistency becomes. Policies should be written once and enforced everywhere through automation, not rewritten per provider.

• Common baseline: one set of security standards translated into each provider's controls.
• Central logging and monitoring with a single place to investigate incidents.
• Configuration drift detection so misconfigurations are caught in each environment.
• Shared responsibility mapping for every service, since the split differs by provider and by service type.
• Key management with a clear owner and plan for each environment.
• Tested recovery that includes the cross-environment dependencies.

The Cloud Security Alliance guidance (opens in a new tab) is provider-neutral and covers governance across environments, and the CISA cloud security reference architecture (opens in a new tab) offers a government-authored view. For fuller coverage, see cloud security services.

Running in several places can mean running more total capacity. Reduce that by keeping unused standby environments small, consolidating lightly used on-premises servers into shared platforms, and placing workloads where energy sources and utilization are best, subject to residency rules. Review idle resources in every environment regularly, not only in the one you watch most. The Principles of Green Software Engineering (opens in a new tab) provide a shared vocabulary.

• Banking: core records stay in a private environment for regulatory reasons while customer-facing apps scale in a public cloud.
• Healthcare: imaging stays near the hospital for speed and residency, with de-identified data sent to cloud analytics.
• Manufacturing: plant systems run locally for latency, with fleet-wide reporting consolidated in one cloud.
• Software company after an acquisition: two products on different providers run side by side under shared identity and monitoring while a consolidation decision is made.

These are illustrative examples, not Kramate client results.

Hybrid cloud services are often driven by where data must remain. Confirm requirements with legal counsel.

• USA: sector rules such as HIPAA, financial regulator expectations and state privacy laws; government work may require specific authorization programs.
• UK: UK GDPR and the Data Protection Act 2018; financial firms face regulator expectations on outsourcing, concentration risk and operational resilience.
• Australia: Privacy Act 1988 and Australian Privacy Principles, plus sector rules for finance and critical infrastructure.
• Singapore: Personal Data Protection Act and financial-sector guidance on technology risk and outsourcing.

Regulators increasingly ask regulated firms about dependence on single providers, which is one legitimate driver of multi-cloud. Note that "on-premise" is common phrasing in the UK, Australia and Singapore, while US writing usually says "on-premises".

Budget hybrid cloud services for the duplication that multiple environments create, not only the provider charges.

• Connectivity: dedicated links, gateways and data transfer between environments.
• Duplicate tooling and licenses for monitoring, security and management.
• Skills: engineers who know more than one platform, plus training time.
• Standby capacity and replication for resilience designs.
• Loss of volume commitments if workload is split across providers.
• Ongoing governance, audit and cost-allocation effort.
• Hardware refresh and facility costs for the on-premises side of hybrid.

A phased commercial model works well: a fixed-price assessment and design, then a dedicated team to build the shared layers, with hourly support for reviews. Ask for the running cost of the complexity as well as the build cost, and see cloud cost optimization for governance of spend.

1. Independence from any single provider, with disclosed partnerships.
2. Willingness to argue for a single cloud when that is the better answer.
3. Real hybrid experience: networking, identity and on-premises integration, not only public cloud skills.
4. Shared-layer designs for identity, networking, delivery and observability.
5. A clear responsibility matrix across your team, the partner and each provider.
6. Exit and portability plans documented from the start.
7. Cost transparency for run costs and not only the build.

A dedicated project manager keeps the work coordinated across environments, with daily updates in Slack or Teams and a progress review at the close of each two-week round. We agree an NDA before detailed discussions and transfer all intellectual property, including infrastructure definitions, to you. The approach section on this page sets out the stages.

Kramate can lead the engagement or work inside your team, with secure practices such as least-privilege access and peer review. Time-zone overlap covers four to six hours with US Eastern time and full working days with the UK, Australia and Singapore, which helps with cutovers that cross regions.

• NIST Definition of Cloud Computing (opens in a new tab)NIST
• Terraform Documentation (opens in a new tab)HashiCorp
• OpenTofu Documentation (opens in a new tab)OpenTofu
• Kubernetes Documentation (opens in a new tab)Kubernetes
• OpenTelemetry Documentation (opens in a new tab)OpenTelemetry
• CSA Security Guidance for Cloud Computing (opens in a new tab)Cloud Security Alliance
• CISA Cloud Security Technical Reference Architecture (opens in a new tab)CISA
• Principles of Green Software Engineering (opens in a new tab)Green Software Foundation