Performance problems usually show up at the worst possible time
We started Connectlogicpro because we kept seeing the same pattern. Companies would launch something important, traffic would spike, and systems would struggle. The scramble to fix things under pressure never ends well. What if you could spot those bottlenecks before they become emergencies?
Talk About Your System
How we work through performance challenges
Every system is different. But after years of doing this work across Taiwan's tech sector, we've found a method that consistently uncovers what's actually slowing things down.
Phase One
Baseline
Understanding your current reality
Before we touch anything, we need to know what normal looks like for your system. We spend time watching how your application behaves under typical conditions. Response times, database queries, API calls—the full picture. This isn't about judgment. It's about establishing facts we can measure against later.
Phase Two
Stress Testing
Finding where things break
This is where we push your system harder than it's probably ever been pushed. We simulate traffic spikes, concurrent user loads, and edge cases that might happen during a product launch or marketing campaign. Most bottlenecks hide under normal conditions. They only reveal themselves when pressure increases.
Phase Three
Analysis
Making sense of the data
Now we have thousands of data points from your testing. We look for patterns—which operations slow down first, where memory leaks develop, which database queries cause cascading delays. The goal is to separate symptoms from root causes. That distinction matters when you're deciding what to fix first.
Phase Four
Solutions
Practical improvements you can implement
We give you a prioritized list of what to address and why. Some fixes are quick configuration changes. Others require architectural decisions. We explain the trade-offs honestly so you can make informed choices based on your timeline and resources. Then we help validate that the changes actually improved things.
What we've been focusing on lately
Database optimization
Slow queries are behind maybe 60% of the performance issues we see. Often it's not about the database itself—it's how the application talks to it. We look at query patterns, indexing strategies, and connection pooling to find where time gets wasted.
API performance
When your application depends on external APIs or serves as an API itself, response times become critical. We test how your APIs handle concurrent requests, measure latency under load, and identify where timeouts or retries create bottlenecks in your service chain.
Infrastructure scaling
Cloud infrastructure gives you flexibility, but it doesn't solve performance problems automatically. We help you understand when horizontal scaling makes sense versus when you need to address code-level inefficiencies. Sometimes adding more servers just spreads the problem across more machines.
Who you'll work with
We're a small team in Taipei. Most of us came from roles where we dealt with performance fires regularly. That experience shapes how we approach testing—we think about what could go wrong because we've seen what does go wrong.
Linnea Vestergaard
Performance Testing Lead
Freya Beaumont
Optimization Specialist