Performance & Scalability Optimisation
Targeted performance and scalability improvements for existing production systems to ensure fast response times, stable behaviour under load, and predictable growth — without disrupting live operations.
Price range
€4,000 – €15,000
Service Overview
This service focuses on identifying and resolving the real causes of performance and scalability issues in production systems. We do not optimise in isolation or blindly add infrastructure.
Instead, we analyse how your system behaves under real workloads and address architectural, code-level, and configuration bottlenecks that limit performance and growth. The goal is a system that performs reliably today and scales safely tomorrow.
How This Service Works
Overview
This service delivers structured performance and scalability optimisation for live production systems.
We focus on eliminating bottlenecks that affect user experience, system stability, and operational cost — without introducing unnecessary complexity or downtime.
This service is designed for teams that:
- experience slow response times or degraded performance
- face instability during traffic spikes or growth phases
- rely on manual scaling or constant firefighting
- want predictable performance as usage grows
After optimisation, you gain:
- improved response times and system throughput
- more stable behaviour under real production load
- reduced operational stress during peak usage
- clearer understanding of scaling limits and options
- actionable recommendations for future growth
Performance improvements are delivered incrementally and safely.
We base decisions on measurements, profiling, and real system behaviour — not assumptions.
All changes are validated through testing and monitoring to ensure production stability.
After this engagement, you can:
- scale traffic with greater confidence
- plan infrastructure growth more predictably
- reduce firefighting related to performance issues
- continue optimising other system areas if needed
Common Performance & Scalability Challenges
Teams often approach us with challenges such as:
- slow page loads or API response times
- performance degradation as usage grows
- instability during peak traffic or background jobs
- inefficient use of infrastructure resources
- unclear system limits and scaling behaviour
What Changes After Optimisation
After optimisation, teams typically see:
- faster and more consistent system response times
- improved stability under load
- better utilisation of existing infrastructure
- fewer performance-related incidents
- clearer scaling boundaries and growth strategy
How the Optimisation Process Works
Our optimisation process is structured and data-driven.
1. Our optimisation process is structured and data-driven.
Measure system behaviour under real workloads.
2. Bottleneck identification
Identify architectural, code-level, and configuration constraints.
3. Optimisation strategy
Define targeted improvements with measurable impact.
4. Incremental implementation
Apply changes safely without stopping production.
Engagement Model & Pricing Notes
This is not a fixed-scope product. Pricing depends on:
- system size and complexity
- traffic patterns and usage characteristics
- current architecture and infrastructure setup
Typical engagements fall within the price range shown above.
Frequently Asked Questions
We focus on the root cause. This may involve code, architecture, configuration, or infrastructure — depending on what actually limits performance.
No. Changes are planned and delivered incrementally without disrupting production.
Yes. Improving efficiency often reduces the need for additional resources.
Yes. Performance issues are common in both legacy and modern architectures.