Load Scaling & Hosting
When seasonal promotions, newsletters, or campaigns multiply your traffic, your hosting must keep up — automatically and without manual intervention.
Scalable Hosting for Peak Traffic
We design and implement scalable hosting architectures for Shopware 6: auto-scaling, load balancers, containerised deployments, and forward-looking capacity management. Black Friday is a planned load, not an emergency.
The essentials of Load Scaling & Hosting
- We design and implement scalable hosting architectures for Shopware 6 with auto-scaling, load balancers, and containerised deployments.
- Auto-scaling requires a stateless architecture: we store sessions centrally in Redis and use shared file storage or object storage so instances can scale horizontally.
- We run regular load tests that simulate real user paths and find bottlenecks before the traffic peak rather than in the middle of the most important revenue window.
- Rolling deployments with health checks at the load balancer make updates invisible to users and avoid downtime.
- Black Friday thus turns from an emergency into a planned, documented load with known capacity limits.
Auto-Scaling Architecture
Static server configurations are either too large and expensive or too small and break under spikes. We implement auto-scaling groups that automatically spin up new instances under rising load and tear them down as load decreases. Shopware-specific requirements like session management without server affinity and shared file storage are handled correctly.
Load Balancer & Availability
A load balancer distributes traffic across multiple application servers and makes your platform resilient to individual server failures. We configure health checks, session persistence strategies, and failover behaviour so a single server failure remains invisible to users.
Load Tests Before Events
Discovering capacity limits under real load is much cheaper than discovering them during Black Friday. We simulate realistic user paths with load testing tools, identify bottlenecks in database, caching, and infrastructure, and implement optimisations before the traffic event occurs. The result is a documented capacity profile with known limits.
Containerisation & Deployment
Containerised Shopware deployments with Docker and Kubernetes enable reproducible environments, fast horizontal scaling, and rolling deployments without downtime. We build CI/CD pipelines that automatically move new releases through staging environments and deploy them safely to production — deployments become routine rather than risk.
Foundations for horizontal auto-scaling
Auto-scaling only works when the technical prerequisites are in place. Each layer must be solid before the one above it takes effect.
Auto-Scaling
New instances start automatically as traffic increases
Load Balancer
Traffic distributed after health check — no manual intervention
Containerised Deployment
Consistent, reproducible Shopware instances via container image
Shared File Storage & Object Storage
Media and assets centralised — no local instance state
Stateless Architecture & Redis Session
No session state on the local filesystem — the fundamental prerequisite
Without the base, every additional instance is ineffective.
Preparing for seasonal traffic peaks
Black Friday or campaign launches are treated as planned loads, not emergencies. These phases run before every relevant event.
Architecture review
Check stateless conditions, Redis configuration, and storage setup for scalability
Load test planning
Define real user paths — product browse, checkout, account — and establish current capacity limits
Load test execution
Simulated traffic peak on staging; identify bottlenecks, timeouts, and failure points
Optimisation & fix
Resolve issues found before real traffic forces them into the open
Event monitoring
Live dashboards, auto-scaling thresholds, and alerting active throughout the event
Bottlenecks found in advance can be fixed without time pressure.
What matters for Load Scaling & Hosting
Auto-scaling requires a stateless architecture, otherwise it leads nowhere. Shopware instances that store sessions on the local file system cannot scale horizontally, which is why central session storage in Redis and a shared file system or object storage form the foundation. Without those preconditions the load balancer cannot use its potential, no matter how many instances you start.
Load tests have an expiry date, and that is easily forgotten. A test from last year is only partly meaningful with a grown product range, new plugins or changed usage behaviour. Regular load tests that simulate real user paths are the only way to genuinely know the current capacity limits rather than estimate them.
Black Friday should be planned, not survived. Bottlenecks a load test finds beforehand can be fixed calmly, while problems that only appear at the real traffic peak have to be solved in the middle of the most important revenue window. Forward-looking capacity management turns the event from an emergency into a planned load.
Deployment downtime is avoidable, and its persistence is a sign of a missing pipeline. Rolling deployments, where the load balancer only adds new instances to rotation after a successful health check, make updates invisible to users. That requires containerised deployments and a correctly configured zero-downtime pipeline, but it is standard, not a luxury.
Auto-scaling requires stateless architecture
Shopware instances that store sessions on the local filesystem cannot scale horizontally. Centralised session storage in Redis and shared file storage or object storage are prerequisites for functional auto-scaling — without these foundations, load balancers don't realise their potential.
Load test results have an expiry date
A load test from last year has limited value with a grown catalogue, new plugins, or changed usage patterns. Regular load tests — especially before seasonal events — are the only way to know current capacity limits.
Deployment downtime is avoidable
Rolling deployments with a load balancer that only adds new instances to rotation after a successful health check make deployment downtime invisible to users. This requires containerised deployments and a correctly configured zero-downtime pipeline.
Ready for any peak
With us you're always at the cutting edge of technology and benefit directly from our developer expertise. Together we analyze your shop, identify key areas and develop tailor-made solutions. Your goals and expectations are at the center of our work.
Developers, not resellers
Your shop is built by developers who really understand the code. We pass nothing to subcontractors.
Shopware down to the detail
Architecture, API integration and performance from hundreds of project hours.
One team, every discipline
Development, design and marketing come from one team that works without friction at the handoffs.
Built for growth
We build measurably for conversion, load time and revenue.
Partner, not vendor
We stay on after launch and keep developing your shop continuously.
Ready for your successful online shop?
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