How to Prepare Your Business for a Google Cloud Outage

Learning how to prepare your business for a Google Cloud outage is far cheaper before the dashboard turns red than after. This week a power event hit a Google Cloud zone in London, and teams that had planned for failure barely noticed while others spent hours refreshing a status page.

We covered what happened and the early lessons in our Google Cloud London outage analysis. Here is the practical sequel: a four-step plan any European company can follow, whether you run ten servers or a few hundred. The same logic applies to other cloud providers too.

What You Need Before You Start

You need an honest inventory of what runs where. List every production workload, its owner, the region and zone it lives in, and what it depends on: databases, queues, identity providers, DNS, third-party APIs. You also need your business numbers. How much does one hour of downtime cost? How much data can you afford to lose? Finance and operations can answer this in a single meeting, and it drives every decision below.

Have access to your cloud console, your infrastructure-as-code repository, and your on-call rota. Bookmark the official Google Cloud status page and subscribe to its feed so alerts reach people before customers do.

Step 1: Classify Workloads and Set Recovery Targets

Not everything deserves the same protection. Sort workloads into three tiers. Tier 1 is revenue or safety critical: checkout, authentication, core APIs. Tier 2 is important but can wait an hour or two: internal tools, reporting. Tier 3 can wait a day: batch jobs, dev environments.

For each tier, set two numbers. The recovery time objective (RTO) is how long you can be down. The recovery point objective (RPO) is how much recent data you can lose. A Tier 1 service might target an RTO of 15 minutes and an RPO of near zero. A Tier 3 job might accept 24 hours for both. Write these down and get a manager to sign them. The targets decide whether you need a simple backup or a full multi-zone design, and they stop you overspending on systems nobody would miss.

Step 2: Remove Single Points of Failure Inside the Region

A zone is one failure domain. Google Cloud regions contain several zones, and a power problem in one should not take down a well-designed service. Spread Tier 1 workloads across at least two zones, and preferably three. Use regional managed instance groups, regional load balancers, and regional or multi-zone database options so traffic and data survive the loss of a single zone.

Check the hidden dependencies too. A service replicated in three zones still fails if it talks to a single-zone database, a single NAT gateway, or one license server on a lone VM. Walk through each Tier 1 dependency and ask, “If this zone vanished, what breaks?” The Google Cloud Architecture Framework reliability guidance is a solid checklist for this review.

Step 3: Build Cross-Region Backups and a Tested Failover

Some events take out more than a zone. For Tier 1 systems, keep a copy of your data in a second region, ideally in another European location that fits your data residency rules. Under GDPR, replicate within the EU or EEA unless you have a lawful transfer mechanism, and confirm this with your data protection officer.

Define everything as code, using Terraform or a similar tool, so you can rebuild an environment in a new region from a repository rather than from memory. Choose a pattern that matches your RTO: backup and restore for slow targets, a pilot-light setup with the database replicated and compute switched off for medium targets, or active-active for the strictest. Remember DNS. Keep a low TTL on critical records and know exactly who can change them during an incident.

Step 4: Rehearse the Incident Before It Happens

A plan nobody has practiced is a rumor. Schedule a game day each quarter. Pick a scenario, such as “zone europe-west2-a is unavailable,” and make it real in a staging environment or in a controlled slice of production. Time how long detection, decision, and recovery take, and compare them to your RTO.

Prepare communication in advance. Write a status page template, a customer email draft, and an internal channel with named roles: incident commander, technical lead, communications lead. Google’s Site Reliability Engineering book has excellent material on incident roles and blameless postmortems. After every real incident or drill, hold a short review, assign fixes with owners and dates, and track them to completion.

Common Mistakes to Avoid

Assuming “the cloud” handles it. Providers run reliable infrastructure, but architecture choices are yours. A single-zone deployment is a single point of failure no matter whose logo is on it.

Backups that were never restored. A backup you have not tested is a hope. Run a restore test at least quarterly and record how long it took.

Forgetting the people side. Outdated on-call lists, expired credentials for the break-glass account, and unclear decision rights waste more time than any technical fault.

Key Takeaways

• Know your numbers: Set RTO and RPO by tier, based on real downtime cost.
• Spread across zones: Multi-zone design plus a dependency review handles the most common failures.
• Plan for regions: Cross-region copies and infrastructure as code cover the rarer, bigger events, within GDPR limits.
• Practice: Quarterly game days and pre-written communications turn a plan into a capability.

Need Expert Help?

If this feels like a lot to manage alone, TecniForge can handle the heavy lifting. Our team specializes in custom software development and AI integration. Get in touch with our experts.

Also read: Google Cloud London zone outage: lessons learned, our earlier coverage on why this matters today. The original incident report appeared in The Register.

Your challenge: pick your single most important service and answer one question today. If its zone disappeared in the next ten minutes, who would do what? If you cannot answer in under a minute, you know where to start.