RISK 01
Bottlenecks are unknown
Without realistic load assumptions, it remains unclear which component will slow down or become unstable first.
Ready for peak days
For e-commerce teams preparing for campaigns, seasonal peaks, and sales events
Will your store withstand the next traffic peak?
Black Friday, a TV campaign, or a product launch is not the right time to discover the weakest point in your system. I assess in advance what happens under load and whether your team can act quickly when it matters.
30 minutes · directly with Niels · no sales script
8+
years of infrastructure experience
12x
AWS certified
Golden
CNCF Kubestronaut
Direct
access to the expert doing the work
Does this sound familiar?
More visitors do not automatically mean more revenue
A peak does not only put servers under pressure. Databases, external services, deployments, and unclear responsibilities all affect whether customers can complete their purchases.
RISK 02
Scaling responds too late
Automation sounds reassuring, but it cannot help when databases, limits, or third-party providers fail to scale with demand.
RISK 03
There is no emergency plan
Under time pressure, unclear responsibilities, alerts, and fallback options cost valuable selling time.
Free self-check
Peak-Traffic Risk Check
Sales exposure on your peak day and a planning view of the remaining preparation. (about 3 minutes)
After the engagement
Review measured capacity and untested assumptions before the event
You do not receive a blanket availability promise. You gain transparency into limits, countermeasures, and the most important decisions before the key date.
Known capacity limits
Critical user journeys and likely bottlenecks are visible.
Prioritized safeguards
Your team knows which measures will have the greatest impact before the peak.
An operations team ready to act
A concise response plan clarifies signals, responsibilities, and fallback options.
What you receive
A defined scope instead of open-ended consulting days
- ✓Business-critical user journeys and realistic peak assumptions
- ✓Application, cluster, database, caches, queues, and external dependencies
- ✓Scaling rules, cloud limits, and capacity headroom
- ✓Monitoring and alerting for revenue-impacting errors
- ✓Deployment freeze, rollback, and emergency communication
- ✓Joint review of go/no-go risks
How it works
Three steps to a clear decision
01
STEP 01
Understand the context
We clarify the objective, environment, and current pressure to act. You then know whether the assessment is genuinely a fit.
02
STEP 02
Assess what matters
I review documentation, configuration, and data and speak with the people responsible for the environment.
03
STEP 03
Make decisions
In the readout, we prioritize findings, effort, and next steps together according to business impact.
This is a fit if ...
- ✓A specific peak is ideally at least four weeks away
- ✓Outages or severe delays would have a direct impact on revenue
- ✓Technical and business stakeholders can prioritize together
This is not a fit if ...
- ×You only need a complete load test, including the creation of test data
- ×You need an immediate guarantee for an unknown number of visitors
- ×Your store runs entirely on Shopify, Shopware Cloud, or another SaaS platform without infrastructure of your own
You work directly with Niels
The expert in the first call also carries out the assessment
I am Niels Heidbrink. For more than eight years, I have built and operated cloud infrastructure for SaaS companies, software vendors and e-commerce, on AWS, Azure, IONOS and Hetzner. I hold 12 AWS certifications and the CNCF Golden Kubestronaut title.
“Niels works in an extremely structured, efficient, and solution-oriented way. He thinks beyond the immediate task, understands connections quickly, and implements requirements pragmatically and reliably.”
Frequently asked questions
What you should know before the call
Do you also run load tests?+
The audit defines useful scenarios and assesses existing results. A reliable load test can then be planned separately if the test environment and available data are suitable.
How early should we start?+
Four to eight weeks before the peak is ideal. This leaves enough time to implement and verify critical measures.
Can you also support us during the peak?+
Yes. Targeted on-call availability and technical support can be arranged separately. The audit itself is not a 24/7 operations contract.
Isn't auto-scaling on our cloud instances enough?+
Auto-scaling mainly helps stateless web servers. When the database, caches, or ERP and PIM integrations become the bottleneck under load, more compute often just means more waiting requests and a higher bill.
The next step
Let’s find out whether the Peak Readiness Audit solves your problem
In a free 30-minute call, we discuss your situation. If this assessment is not the right next step, I will tell you openly.
Book a free fit checkNo preparation required · no obligation
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