Modern businesses all rely on the cloud almost exclusively to keep their operations going. There is a problem, though: few of them know that building a solid foundation requires understanding the principles of cloud landing zones. Even fewer get the importance of a clear cloud governance structure and architecture.
Unless you already have technical experience in this area, you might run into a whole range of issues, from security gaps to the worrying increase in costs. The good news is, regardless of whether you work with AWS, Azure, or GCP, you’ll need to grasp the basics only once. Now let’s see how it actually works.
What Is a Cloud Landing Zone?
You might already know the answer to this question, but if you’re just starting out as an IT decision-maker or a cloud architect, covering the basics is crucial. A cloud landing zone is a preconfigured environment that serves as a starting point for various future workloads. It includes the most basic elements, such as:
- Logging and monitoring networks;
- Access management;
- Automation pipelines;
- Network segmentation;
- Security controls.
You can see it as a blueprint reflecting all future operations of a company. A cloud landing zone defines how resources will be organized, governed, deployed, and scaled over time.
Core Governance Principles for Scalable Landing Zones
There are five core governance principles for building scalable cloud landing zones. Naturally, experienced cloud consulting experts can easily accompany their clients through every step of their cloud experience, including planning, development, and governance stages. However, IT decision-makers who haven’t had much practice need to be aware of cloud architecture best practices.
Centralized Identity and Access Management
The most important rule in any cloud landing zone is related to access. You need to determine who can do what — otherwise, security issues will become an unfortunate inevitability.
IAM, or Identity and Access Management, is a system that allows controlling all permissions from a single verified source. By implementing it, you’ll get the same rules governing your cloud environment at all times. Some useful advice for operating different systems:
- AWS. Use AWS Organizations and Service Control Policies (SCPs) to restrict users’ actions globally.
- Azure. Implement Azure Active Directory (Entra ID) with role assignments and conditional access.
- GCP. Apply IAM policies at the organization or folder level to help you avoid inconsistent or problematic permissions.
Everyone will be logging in through one system, with each user getting only the permissions they need to perform their functions effectively. This will give you a chance to streamline and enforce security policies with ease.
Account Structuring
You need to separate your workflows based on different environments, business units, or at least compliance boundaries. Some accounts should be for development, others for testing, and so on.
For AWS, cloud governance across environments requires AWS Organizations; Azure allows grouping everything through the Management Groups, and GCP relies on Folders and Projects located under one Organization Node. By sticking to this model, you’ll give every team its own safe cloud space.
Network Architecture and Security Baselines
Cloud network connects all business applications, services, and users, so unless you optimize everything properly, the whole organization will be stumbling upon one issue after another. Use a hub-and-spoke paradigm to create a central network and connect it to individual application networks.
As a practical example, a company might have one large hub network, but each department or project will have its own spoke chains. Naturally, for better security, each network should be protected with firewalls, security groups, network access control lists, etc.
Policy-Driven Governance
Policies regulate what can be deployed and when. Define all the relevant rules in code in advance and set up automation tools to enforce them.
For AWS, using AWS Config, Organizations Service Control Policies (SCPs), and CloudFormation Guard is the best solution. Azure offers Azure Policy and Blueprints, and in GCP, you can rely on the Organization Policy Service to control configurations.
Operational Visibility and Monitoring
You need to create a strong monitoring set-up to observe what’s happening within your cloud landing zone. Use centralized logging to control everything from one location; activate real-time alerts; and integrate your system with SIEM tools to automatically spot suspicious activities and patterns. This is a sure way to guarantee operational stability.
Common Governance Mistakes to Avoid
You’ve learned the key governance principles, so now it’s time to consider what kind of mistakes you might make. We prepared a list of the most common cloud zone-related errors. They include:
- Ignoring cost governance. You need to implement strict monitoring and tagging, as well as define your budgets; otherwise, cloud costs can grow beyond reasonable limits.
- Creating excessive restrictions. Avoid overrelying on restrictions, as they can frustrate users; choose only the most relevant options.
- Dismissing lifecycle management. To scale your cloud landing zones, update all templates — failing to adapt to new regulations will create annoying roadblocks.
- Failing to consider business goals. Scalability is always a key; you need to ensure your governance supports agility — otherwise, as the company grows, more technical problems will arise.
Keep these potential issues in mind, and most likely, your systems will run smoothly.
Keeping Your Cloud Landing Zones Scalable
Now you have enough knowledge to understand what cloud landing zones are, how to govern them successfully, and which mistakes to avoid. If you’re ready, start putting this information to use. Focus on your system of choice, be it AWS, Azure, or GCP; learn the nuances unique to this system, and start building your own scalable cloud zone. If you run into any trouble, you can always consult senior experts with more extensive experience in this area.
AWS is good for scalability, Azure is a great option for enterprise integration, while GCP is often used for analytics. If you’re using a multi-cloud strategy that relies on all these systems at once, you need to select a landing zone that ensures consistency. Make sure each cloud adheres to the same governance principles, and everything will work without a hitch.
Featured Image generated by Google Gemini.
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