
Digitization in the middle class: How to measure your success
Digitization is no longer a trend for medium-sized enterprises, but a need to remain competitive. But how to measure the success of Digitalisie...

When your system slows down, timeouts occur, and server costs explode, we find the bottlenecks. Performance problems cost revenue, trust, and productivity – but they are solvable.
30 min. initial consultation – 100% free & no obligation
Typical Symptoms
Pages take 5+ seconds, users abandon
During peaks, the system slows down or crashes
Queries take forever, locking blocks processes
Scaling only possible through more hardware
LCP, INP, and other metrics in the red zone
Interfaces respond too slowly or not at all
“Slow systems are often N+1 queries and blind spots—not CPU charts without flamegraphs arguing the wrong curve.”
Thorsten Frieling, Senior Developer & Project Manager, Groenewold IT Solutions
Concrete Solutions
| Your Problem | Our Approach | Your Result |
|---|---|---|
| Slow database queries | Query analysis + index optimization | Queries 10x faster |
| Pages load forever | Caching + payload optimization | Load time under 2 seconds |
| System buckles under load | Load balancing + asynchronization | Stable even during peaks |
| No transparency | Observability + performance dashboards | Bottlenecks visible immediately |
| High infrastructure costs | Resource budgets + rightsizing | Costs reduced by 30-50% |
Structured Process
Review logging, tracing, and metrics. Add telemetry where needed.
Query plans, cache hit rates, latencies. List of top hotspots with root cause.
Quick wins (indexes, caching) + structural measures, prioritized by impact.
Load tests, performance budgets in CI, monitoring. Improvements remain stable.

In 30 minutes, we'll analyze your situation together and show you where the biggest performance levers are.
Our Expertise
What do outages and performance problems cost?
Proactive maintenance vs. reactive troubleshooting: calculate the break-even over 5 years.
Is your system getting slow? Slow systems cost businesses real money. Studies show that every additional second of load time reduces the conversion rate by an average of seven percent. For an online shop with one million euros in monthly revenue, improving load time by just two seconds means a potential revenue increase of over €100,000 per year. But performance problems don't only affect web shops: internal applications that respond sluggishly also cost productivity and frustrate employees who work with them daily.
The most common mistake in performance optimization is addressing the wrong areas. Without thorough analysis, companies invest in faster servers, additional instances, or more expensive cloud plans without improving perceived speed. The reason: the actual bottlenecks rarely lie in computing power, but in inefficient database queries, missing indexes, oversized payloads, synchronous calls that should be asynchronous, or caching strategies that don't match usage patterns.
Our performance audit therefore always begins with a data-driven assessment. We measure load times, analyze database queries, identify N+1 problems, check caching effectiveness, and examine the entire request chain from the first DNS resolution to complete page rendering. We use profiling tools, APM systems, and Real User Monitoring to understand not just lab values, but the actual user experience.
Based on this analysis, we create a prioritized list of optimization measures, sorted by the ratio of effort to impact. Our experience shows that the first three to five measures often already deliver 80 percent of the noticeable improvement. Typical quick wins include optimizing critical SQL queries, introducing multi-level caching strategies, reducing API payloads, parallelizing independent calls, and implementing lazy loading for content not immediately visible.
For long-term scalability, we go beyond individual optimizations and consider the architecture as a whole. Horizontal scaling, read replicas for databases, content delivery networks, asynchronous processing with message queues, and auto-scaling strategies are building blocks that ensure your system isn't just fast today, but keeps up with growing demands. We always focus on cost efficiency – more infrastructure is only the right answer when the software is already working optimally.
Especially for e-commerce systems and SaaS platforms, performance is a direct competitive advantage. Google evaluates Core Web Vitals as a ranking factor, and users expect response times under one second. We help you not only meet these expectations but exceed them – with measurable results that translate into better search engine rankings, higher conversion rates, and more satisfied users.
After optimization, we set up continuous performance monitoring that ensures the improvements achieved are maintained long-term. Automatic alerts warn your team when metrics deteriorate, and performance budgets prevent new features from unknowingly degrading load times. This makes performance awareness a permanent part of your development process.
FAQ
We run performance audits, optimize critical queries and APIs, introduce caching and CDN, and reduce payloads.
First quick wins often within weeks; full optimisation depends on scope.
The performance optimisation cost calculator gives EUR 5,891 – 211,675 excl.
VAT as its non-binding overall range. A focused hotspot analysis sits closer to the lower end; load testing and system-wide scaling increase the scope.
Yes.
After optimisation we set up continuous monitoring, alerts and performance budgets so improvements are maintained and new features don't degrade load times.
We optimise for Core Web Vitals so you benefit in search and conversion.
We focus on measurable results: response times, throughput and stability.

Typically: query optimisation (indexes, N+1), caching, payload reduction and better observability.
These measures can usually be implemented quickly and deliver noticeable improvements.
Not necessarily.
It is often more efficient to fix bottlenecks and define budgets first. Scaling then becomes a controlled option—rather than an emergency.
With clear KPIs: Core Web Vitals, API p95/p99, error rates, queue lengths, DB IO/CPU and cost per transaction.
We make the values visible and keep them stable.
The performance optimisation cost calculator classifies an initial check within EUR 5,891 – 211,675 excl.
VAT. Clearly bounded quick wins sit closer to the lower end; implementation receives a binding quote after the findings are prioritised.

Questions about performance optimisation?
We analyse your system and show you the levers (Thorsten Frieling, project management).
Four checks: the load, the bottleneck, one change and the second measurement.
1. Set the load
Which hour or which transaction is slow. A synthetic test without that link stays out.
2. Find the bottleneck
Database, cache or a single call. Not the whole landscape at once.
3. One change
An intervention whose effect can be attributed.
4. Measure again
The same load as before. Without the comparison the improvement is a claim.
Performance work starts with a measurement under the load the business actually has. Approval for performance and scaling should therefore depend on a measurable baseline, an accountable business owner, and a clear target. The HowTo block on this page describes delivery; this section is only for the project decision.
Browse all solutions by use case, industry, and application type. For our service portfolio, see Services; for in-depth topic articles, see Topics.
Key terms are explained in our IT Glossary. For a non-binding discussion about performance and scaling or a proposal, please contact us.
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