The Problem
Why Latency is a Hidden Performance Problem
Most systems focus on compute power, scalability and uptime — but overlook latency. The result: slow response times, poor user experience, and missed opportunities, especially in trading and real-time systems.
Latency is often the limiting factor — not compute.
Definitions
What is Low Latency Computing?
Latency is the time delay between a request and a response, measured in milliseconds (ms).
10 ms — near real-time
Systems feel effectively instantaneous. Typical of tightly coupled edge or local environments.
100 ms — noticeable delay
Lag becomes perceptible. Interactive apps and real-time control systems start to suffer.
200 ms+ — poor performance
A structural limitation for most real-time systems. Often unfixable without architectural change.
Causes
What Causes Latency in Modern Systems
Network distance
Physical distance between user and compute increases propagation delay.
Cloud location
Centralised infrastructure is rarely close to all of your users.
Data transfer
Every hop between systems adds serialisation and routing overhead.
Processing layers
Microservices, gateways, and integrations each contribute delay.
Every step adds delay.
Use cases
Who Needs Low Latency Computing in the UK?
FinTech & trading
Milliseconds impact revenue.
SaaS platforms
User experience & retention.
Gaming & streaming
Real-time interaction.
Industrial systems
Machine response times.
AI / edge systems
Real-time inference at the source.
Cloud reality
Why Cloud Alone Doesn't Solve Latency
Cloud is centralised. That creates distance, network hops, and dependency on connectivity — all of which raise latency for real-time workloads. For many use cases, cloud is necessary but not sufficient.
Solutions
How to Achieve Low Latency Computing
Move compute closer
Edge computing and on-prem reduce physical and logical distance.
Reduce data movement
Process locally; filter and aggregate before transmitting.
Optimise architecture
Minimise hops, intermediaries and synchronous chains.
Use hybrid models
Combine edge for real-time work with cloud for analytics.
Latency is solved by design decisions.
Edge
Edge Computing for Low Latency
Lower latency
Compute lives near the data source — responses don't need to traverse the country.
Faster processing
Local decisions happen without waiting for a remote round-trip.
Resilience
Operations continue even when wider connectivity degrades.
Reality check
Trade-Offs in Low Latency Systems
Cost
Local infrastructure has upfront cost compared to cloud-only.
Complexity
Distributed systems are inherently more complex to design.
Management
More components mean more to monitor and operate.
Lower latency increases system complexity — by design.
In practice
Designing Low Latency Systems in Practice
- 01Identify latency-critical workloads
- 02Place compute strategically
- 03Combine edge + cloud
- 04Monitor performance
- 05Iterate the architecture
Approach
Beyond Performance: Designing for Real-Time Systems
Low latency isn't about tuning. It's about where systems run and how they interact. Some teams focus on designing infrastructure specifically for low latency — rather than trying to optimise existing setups.
ScalerPi
Find Out More About Us & Explore Our Services
How we work
Our end-to-end approach to designing and delivering low-latency, edge-ready infrastructure.
Design consultancy
Architecture reviews and bespoke designs that put performance at the centre.
Reliable hardware ready to deploy
Edge-ready hardware engineered for real-world deployment at scale.
Device management
Manage distributed fleets of devices with confidence and visibility.
Managed service
Fully managed infrastructure operations so your team can focus on the product.
Case studies
Real deployments and outcomes from organisations running performance-critical systems.
About us
Who we are, why we exist and how we think about real-time infrastructure.
Deep dives
Articles
What is Low Latency Computing? (UK Perspective)
An architectural look at latency: thresholds, contributors and why it's a structural property, not just a network metric.
How to Achieve Low Latency Computing in the UK
Practical strategies — edge placement, reducing data movement, hybrid architecture, and network optimisation.
Low Latency Computing for FinTech & Trading Systems (UK)
Why milliseconds drive revenue in UK trading — colocation, edge processing, and proximity-driven architecture.
Free assessment
Free Latency Assessment (UK)
If your system relies on performance, a review can pinpoint where latency exists, how it impacts performance, and how to reduce it. Includes architecture review, latency analysis and practical recommendations.
FAQ
Frequently Asked Questions
- What is low latency?
- Minimal delay between request and response — typically measured in milliseconds.
- What causes latency?
- Distance between systems, network design, and the architecture connecting them.
- Can cloud achieve low latency?
- Partially — but workloads requiring real-time response often need edge computing.
- What industries need it most?
- FinTech and trading, gaming, industrial automation, AI inference, and real-time SaaS.
- How do you reduce latency?
- By moving compute closer to data, reducing data movement, and simplifying architecture.