Today, nearly 90% of organisations have adopted a multi-cloud strategy. As a technology leader exploring cloud options, you may be tempted by the flexibility and innovation promises of multi-cloud. Plunging headfirst into multi-cloud can quickly backfire. From integration headaches to security risks to unexpected costs, I’ve seen many enterprises struggle with haphazard multi-cloud deployments.
However, with careful planning and execution, crafting a multi-cloud strategy can yield major benefits. In this post, I’ll outline key considerations I’ve found critical for developing an effective multi-cloud approach.
Why Enterprises Fail with Multi-Cloud
Multi-cloud environments are inherently more complex. Integrating tools, processes, and policies across cloud providers with disparate platforms is challenging. If you don’t deliberately address these complexities upfront, you are likely to face a multitude of issues down the road:
- Fragmented data and infrastructure. Lacking unified management and governance makes optimising workloads difficult. This drives up costs and hampers agility goals.
- Security gaps and compliance issues. Keeping data, systems, and applications secure across multiple clouds is trickier. It’s easier to expose vulnerabilities or fail audits without consistent controls.
- Siloed cloud operations. No “single pane of glass” fully tackles managing heterogeneous Multi-Cloud environments. Allowing too much divergence in processes and tools ultimately hinders efficiency and increases operational complexity.
- Talent shortages. Your team will require a broader set of cloud and integration skills. Plus, managing complex integrations across cloud platforms strains resources.
- Many enterprises falsely believe multi-cloud will improve resiliency, prevent vendor lock-in, and reduce costs. In reality, the approach often introduces more fragility while increasing expenses and limiting flexibility.
Plotting an Effective Course to Multi-Cloud
When planned deliberately, the multi-cloud strategy can boost innovation and mitigate risk. The key is applying proven architecture patterns and management practices to balance flexibility against complexity.
I suggest a phased implementation approach, aligning cloud efforts to broader business goals. Some best practices that have proven effective include:
- Choose a primary cloud provider. Build most applications and workloads here first, then and only then, add secondary providers incrementally per business needs.
- Standardise policies, processes, and tools where possible. Identify integration points to avoid creating too many divergences.
- Architect select applications for portability. Design components like APIs, data schemas, and modular services to avoid lock-in.
- Train teams on multi-cloud and integration skills. Growing cloud talent takes planning and time to fill skill gaps.
- Decide when to leverage CSP native tools vs. third-party tools. Native tools integrate tightly with the provider’s platforms, but third-party options can work across multiple clouds but often offer less in-depth capabilities. Choose based on capability gaps and requirements.
What Success Looks Like
Taking measured steps toward unified hybrid and multi-cloud management yields tangible rewards:
- Quicker innovation. Standardization and skills investment pays off with faster deployments. Developers can build on proven cloud architecture patterns.
- Improved uptime and performance. With centralized monitoring and governance, issues are caught faster. Teams can fine-tune performance across connected systems.
- Enhanced security and compliance. Uniform policies and controls reduce mistakes that lead to breaches. You demonstrate better cloud governance to auditors.
- Greater efficiency. Shared cloud management tooling and practices prevent too many disjointed processes. Resources go further.
- Cost optimisation. Workload placement decisions leverage economies of scale. Reserved capacity balances cloud vendor pricing pressure.
Architecture Patterns for Multi-Cloud
Implementing an effective multi-cloud environment requires selecting architecture patterns that align with your workloads and requirements. Key patterns include:
Redundant Deployment
Identical workloads run in multiple clouds for failover and disaster recovery. Challenging to achieve redundancy across diverse platforms.
Composite Deployment
Workloads are distributed based on optimal cloud fit. Eases management of complex applications by targeting specific services to suitable platforms.
Bursting/Overflow
Leverage additional cloud capacity to handle spikes in on-premises or primary cloud demand cost-efficiently. Useful for variable workloads.
Policy-Based Placement
Intelligently route workloads across optimal clouds based on predefined rules and criteria around performance, cost, compliance, etc.
Cloud Brokerage Model
Mask the complexity of disparate providers by exposing pooled services through a single pane of glass management layer. Streamlines multi-cloud consumer experience.
Navigating multi-cloud complexity requires patience. But the destination can enable scalable, resilient, and innovative IT delivery that drives real business returns in the right use case.
How is your multi-cloud journey? I welcome your perspectives and wish you prosperous cloud journeys ahead!
I hope you found the post informative and thank you for reading and sharing.
Regards,
Nick
Mark
January 28, 2024As someone who just inherited a multicloud at a global enterprise, this guidance resonates deeply. We’re struggling with unpredictable cost overruns and data security challenges. I agree that a more deliberate strategy integrating these risk mitigation practices could reap large-scale operational efficiencies.
It would be interesting to see a deeper dive into multicloud plans and strategies.
Virtual Tarzan
January 31, 2024Thank you Mark for the insightful feedback. Delighted the guidance resonates with the real-world challenges of overseeing complex multi-cloud environments. I am exploring potential follow-on pieces offering more details around architectural approaches and multi-cloud strategies.
EA
January 29, 2024Building a scalable yet unified architecture across cloud platforms has been a rollercoaster ride. Our biggest pain point now is the talent gap – substantial effort to retrain developers on new tools/APIs, and intense competition for skillsets. How do you overcome the skills gap?
Virtual Tarzan
January 31, 2024Thank you for raising this excellent point. Addressing the multi-cloud skills gap is crucial yet quite daunting for most organisations. I find taking an integrated approach works best – combining extensive retraining programs, strategic hiring, partnerships with multi-cloud consultancies, and leveraging automation wherever possible. There’s no silver bullet in my opinion, but ensuring workforce readiness before embarking on a Multi-Cloud journey, is a key to overcoming this barrier.
James
January 30, 2024As an enterprise architect with years of experience in multicloud implementation, I believe your structured guidance overlooks a fundamental complication. We’ve encountered severe difficulties enabling real-time data synchronization across our AWS and Azure environments resulting in fragmented data lakes.
The article focuses extensively on managing policy and process variation, yet fails to address crucial application architecture prerequisites. Specifically, solving distributed data persistence and streaming in a multicloud context has proven far more painful than anticipated. No amount of management rigidity can abstract away the underlying connectivity challenges inherent in certain workloads.
While I appreciate the best practices provided, I would argue more technical depth on addressing interoperability barriers between disparate cloud platforms is required. There are core architectural factors gating viable use cases that should be highlighted instead of positioning this solely as an organizational process challenge to surmount. Eager to understand your perspective on the missing integration insights here.
Virtual Tarzan
January 31, 2024I appreciate you taking the time to share your hands-on experiences and insights. My goal was to provide a strategic overview, but your comments underscore the point that Integrating architectures across disparate clouds is still highly challenging despite best efforts. You make excellent points on the data synchronisation and legacy connectivity struggles that perhaps I will cover in a separate technical post.
I would be curious to hear more about what specific architectural advice or design patterns would have better enabled your team when first evaluating a multi-cloud approach? We all have more learning to do in this space. Understanding gaps from your perspective would add important expertise for others seeking to avoid similar challenges.
James
January 31, 2024In terms of top architectural priorities, I would emphasize upfront planning for workload segmentation requirements. We underestimated challenges stitching together real-time supply chain data flows that spanned transactional systems still on-premises to cloud data warehouses and analytics. Had we partitioned out time-sensitive streaming integration needs from the batch pipelines early on, it would have framed suitable cloud targets and connectivity approaches more appropriately.
Also shining light on the limitations of lift-and-shift would have reoriented us to refactor or reacrhitect versus forklift migrations. Being too attached to reusing rather than refactoring dminished value. I think spelling out more opinions on modernization tradeoffs is crucial – when to rearchitect versus just rehost and how to place apps in the right cloud?
Virtual Tarzan
January 31, 2024A key step in your scenario would have been to segregate time-sensitive streaming data requirements early. To avoid the issue, start by identifying real-time needs and batch processes. Optimise suitable clouds and connections accordingly. This upfront planning ensures seamless integration between on-premises and cloud systems, preventing challenges in later stages of the multi-cloud deployment.
You need to do a workload assessment for cloud suitability of your applications using the 7R framework. This will help decide what should be lift and shift vs. other migration options.
As for placing applications in the most suitable cloud, I’d develop a decision matrix based on agreed criteria such as cost, complexity, latency requirements, dependencies, risk, etc. In my experience, this provides a consistent approach with applications placement in multi-cloud scenrios.
Lady Architect
January 31, 2024I do say, while perusing this insightful article over lunch I found myself utterly enamoured by your impressive grasp of the complexity inherent to crafting an effective enterprise multicloud ecosystems!
Virtual Tarzan
January 31, 2024I’m flattered by your most generous praise! enamoured you say? I wonder what did you have for lunch?
Ray
January 31, 2024Great overview! As a CTO architecting a global enterprise multicloud, I agree planning is crucial. However, I’ve found that overstandardization also limits our ability to leverage providers’ innovative capabilities. How do you balance uniformity with capitalizing on differentiation?
R
Virtual Tarzan
January 31, 2024Thank you for the thoughtful feedback. You raise an excellent point regarding the balance between standardisation and leveraging innovative cloud capabilities. My recommendation would be to carefully analyse each of your workloads to determine which require portability across multiple clouds versus those able to utilize the differentiation of a provider’s native services. Strategically architecting specific solutions for targeted workloads allows optimising both unified management and access to cutting-edge cloud innovation where applicable. Striking the right balance is vital for maximising multi-cloud’s benefits.