Performance Engineering Services Built for High-Load Distributed Systems

Our performance engineering services resolve architectural and runtime limits and keep platforms stable and predictable under pressure. We optimize your IT systems, ensure reliability, deliver an enhanced user experience, and help your business stay ahead in the market.

SPD Technology
Performance Engineering Services Built for High-Load Distributed Systems

The Real Reasons Why Modern Systems Fail Under Load

High traffic is usually blamed, but it’s seldom the real cause. Systems break down when architecture, cloud setup, and runtime behavior can’t handle the stress they were never meant to support.

Hidden architectural bottlenecks slow microservices through inefficient service-to-service communication.
Database contention and badly formed queries gradually slow response times as usage increases.
Autoscaling rules fail, causing cloud resources to run out of power as demand increases.
Network boundaries between distributed components create latency that’s hard to predict or trace.
Runtime performance declines because of memory leaks, garbage collection pauses, or exhausted thread pools.

Performance failures start in architecture and runtime behavior, not traffic alone — load only exposes the cracks already built into the system.

Performance engineering services ensure non-functional performance requirements are met throughout the software development life cycle, aligning performance goals with business needs and development requirements. Performance engineering practices involve identifying potential bottlenecks early in the development process to inform design choices before code reaches production.

How SPD Approaches Application Performance Engineering

Stability isn’t accidental. It’s engineered. We don’t guess why your system is slow. We break down the problem, exactly mapping how code, infrastructure, and traffic interact in real time.

Workload Intelligence Mapping

Understanding your traffic is the first step to controlling it. We map out real-world usage patterns to see how users actually move through the system, identifying the heavy hitters that drive resource consumption.
Architectural Stress Point Analysis

Systems rarely break where you expect. We stress-test designs and trace dependencies to identify fatal choke points and structural weaknesses before traffic spikes crash your system. Our experts check for inefficient queries, blocking calls, single points of failure, and chatty APIs.
Runtime Behavior Profiling

Code behaves differently under pressure. We go deep into the runtime by analyzing memory, threads, and garbage collection in live environments. Our specialists find the exact code that causes leaks, spikes, latency, resource exhaustion, or configuration drifts.
Scalability Trajectory Modeling

Growth shouldn’t be a guessing game. We project how your current setup handles 2x or 10x load, revealing exactly when and where capacity will wall, so you can upgrade before it happens. We provide a clear plan for efficiently scaling resources as your user base grows.
Production Performance Guardrails

Speed means nothing if it breaks tomorrow. We implement technical safety nets that automatically manage load and prevent cascading failures, keeping your core services available even when things go wrong.

Before & After Software Performance Engineering Services

Performance engineering services change how systems meet performance criteria under pressure. We turn fragile setups into platforms that stay stable and cost-aware at scale. Our experts help build faster and more reliable applications, leading to higher user satisfaction, loyalty, and retention.

From slow response times under moderate load
System performance degrades noticeably during standard operations, causing delays that frustrate users and reduce daily efficiency.
To consistent latency when traffic spikes
Your platform maintains performance during traffic surges, so users experience smooth interactions regardless of load volume.
From recurring production issues
Frequent crashes and unplanned downtime disrupt business operations, erode customer trust, and burn out your engineering team.
To resilient and repeatable runtime behavior
Applications run reliably without degrading. Failures are contained instantly, keeping operations predictable and stable for users.
From cloud costs climbing without warning
Unoptimized resources lead to surprise bills. You pay for idle capacity and struggle to forecast monthly infrastructure spending.
To measured resource usage and budget control
Capacity scales precisely with real demand. You eliminate waste, optimize spending, and accurately forecast infrastructure costs.
From manual fixes and reactive testing after incidents
Teams scramble to patch issues after users complain. Engineers waste time firefighting instead of building new product features.
To automated detection before users feel the impact
Monitoring tools catch anomalies instantly. We resolve failures automatically before they ever affect the end-user experience.
From bottlenecks found too late
Performance flaws surface only in production. Diagnosing the root cause takes days, leaving systems unstable during critical peaks.
To early visibility through observability and profiling
We identify slow queries and code issues during development. Teams fix limits before the code is ever deployed to live users.
From architecture that can’t grow
The system hits a hard ceiling during growth. Adding more hardware yields diminishing returns, forcing a costly and risky rewrite.
To systems ready for 2×, 5×, even 10× concurrent users and traffic
Architecture expands effortlessly as your user base explodes. You handle traffic multipliers without redesigning core components.

Value-Based Outcomes We Delivered to Our Global Clients

Optimizing IT system performance also boosts productivity, clearing the path for business expansion and digital transformation. These metrics prove that our software performance engineering services improve speed, stability, and cost control in production across multiple domains.

→ 10x data processing time optimization
thanks to improved data storage architecture
See Case Study
→ 1,700 requests per second handled reliably
with a below-250 ms response time at the 95th percentile during peak traffic
See Case Study
→ 100% cloud-ready security scanning
supported through seamless integration with cloud infrastructure security products
See Case Study
→ 3x improvement in cost-effectiveness
with the transition to a modular, service-oriented architecture
See Case Study

John Gabbert

Founder and CEO PitchBook Data

Customers are king at PitchBook and SPD Technology shares in this mission. For the last 13 years, SPD Technology has helped us scale product development and continuously deliver the product functionality our clients need to make smarter decisions.

Not sure why your system slows down at scale? Let’s review how it behaves under real load.

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Performance Engineering Solutions That Fix Root Causes

Our software performance engineering services focus on why systems break under pressure, then rebuild the parts that actually cause instability, drift, and slowdowns.

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High-Load Architecture Reengineering
We redesign execution paths and adjust cache strategies, using load testing to ensure spreads are predictable. The system stays stable as demand rises. Reengineering also helps remove hidden bottlenecks that appear only during peak loads.
Database & Query Performance Optimization
Inefficient queries reduce throughput, so we address data layout issues to improve it. We keep response times stable and eliminate lock conflicts. In such a way, your database acts consistently even as volume expands.
Service Decomposition & Communication Tuning
We cut down frequent service calls and tighten API contracts to rebalance responsibilities and improve efficiency. Retries stop clogging the network, and latency drops significantly. Failures stay contained within single components.
Runtime & JVM/CLR Optimization
We tune memory usage and garbage collection to align thread pools with real execution patterns, as analyzed by our software developers and tools. Sudden pauses and CPU spikes disappear. Your systems maintain consistent throughput even during long runtimes.
End-to-End Observability Pipelines
We build a single view across all services so teams see exactly where delays start. They track how trouble spreads downstream. Engineers fix the root cause before users ever notice a problem.
Intelligent Autoscaling Engineering
We design scaling models that react well before saturation hits. Predictive behavior, performance monitoring, and warm testing balance the load. Costs remain under control, while system performance holds steady even during aggressive traffic surges.

How We Restore Stability and Scalability in Complex Systems

Stability doesn’t come from quick fixes. We use structured decision-making, performance assurance, validation, and reinforcement to prevent issues from recurring under load within our software performance engineering services.

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Prioritizing Fixes by Business Impact
We rank performance issues by user impact, revenue risk, and operational cost. Each fix is justified before work begins. Then we validate changes with targeted testing to prevent wasted effort.
Applying Proven Performance Patterns
We rely on patterns proven in production, not theory. Each change follows a known cause-and-effect path. We check results against quality expectations to stop new bugs from appearing.
Identifying Bottlenecks with Scientific Accuracy
We find constraints through measurement rather than guesses. We test hypotheses and reproduce results to remove uncertainty. You approve structural changes only after we confirm the data.
Validating Behavior Under Realistic Environments
We verify system behavior using real traffic models that mirror production. You get testing results that match real-world outcomes, with no surprises after deployment.
Reinforcing Architecture with Scalability Pathways
We structure the system so growth follows defined paths. Capacity limits become visible early, preventing scalability problems. You plan at scale rather than react to emergencies.

Tangible Benefits of Application Performance Engineering

The benefits of application performance engineering accrue over time, turning technical stability into lower costs and smoother releases. You get systems that support growth instead of slowing it. Implementing performance engineering accelerates time to market by integrating performance validations in the development process.

Faster Response Times Across Critical Workflows
We remove delays at the source, so key user actions finish faster. Teams stop chasing latency complaints, while users complete tasks without friction or retries.
Higher Throughput Under Real-World Traffic
Systems handle more requests without strain on regular days and during peak, which means revenue paths always remain open. Avoid silent slowdowns that hurt trust with software performance engineering.
Improved System Stability During Spikes
Traffic surges no longer cause cascading failures, and operations become predictable again. Your on-call teams handle fewer emergencies during launches or seasonal peaks.

Better Scalability for Future Growth
Growth doesn’t force rushed redesigns. Capacity increases follow a plan, making expansion cheaper and easier to forecast. Your upscaling decisions carry less technical risk.
Reduced Cloud and Infrastructure Costs
We size resources correctly using advanced tools, so waste drops, and expenditure becomes easier to control. Spend your project budget on product work, not unused infrastructure.
Lower Operational Risk and Fewer Incidents
Production incidents happen less often, and diagnosis takes less time. We remove hidden failures before customers notice, reducing downtime costs. You focus on delivery rather than recovery.

Success Stories
with Global Impact

SPD Technology designs and develops transformative software solutions that drive innovation, new revenue streams, and market leadership.

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Scaling Morningstar’s Financial Platform with AI and Cloud

Industry: Finance, Payments & Fintech
Country: the USA
Team Size: 6

Automating Core Business Lines: created an AI/ML-powered application for financial data crawling and retrieval from multiple websites.
10x Data Storage Cost Reduction and Data Processing Time Optimization: improved data storage architecture and reduced the time necessary for manual data analysis from days to hours.
Retrieving Mission-Critical Business Data: developed a solution to retrieve data from diverse financial reports and annotate it with 150+ business rules.
Strategic Cloud Transformation: successfully migrated an investment analytics platform to the cloud and achieved close-to-limitless scalability, increased processing speed, improved operational efficiency, and massive cost reduction by leveraging AWS and serverless architecture.

View Case Study

Retail Platform Scales to 1M Products Using AI and Custom Scraper

Industry: eCommerce & Retail
Country: the USA
Team Size: 6

3x Product Expansion Enhanced by AI/ML: Leveraging AI/ML capabilities, we accomplished the monumental task of incorporating over 1,000,000 products from the major global retailer’s website into the client’s inventory. Utilizing advanced algorithms, we efficiently scraped 300,000 products in a mere 3 hours.
Significant Performance Boost: Achieved a remarkable increase in website loading speed, enhancing user experience and search engine rankings with a Google PageSpeed score improvement from 29 to 97 (web) and from 12 to 90 (mobile).

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Building a Powerful Ticketing Solution for Space Needle

Industry: Cultural Activities
Country: the USA
Team Size: 9

Modern and Versatile Ticketing Solution: delivered a cutting-edge ticketing app with the main system and admin panel, different sales channels including web, kiosk, and software for local ticket sales.
3x Performance Boost and Less Than 1,5 Seconds API Response: through switching to micro services and developing new features, we significantly enhanced the system’s performance and enabled the client to deliver top-notch customer experience to Space Needle Tower guests.

View Case Study

Alex Samano

Co-Founder & CEO, Mogami App

SPD Technology has done a great job of maintaining the lifeblood of their codes. They’re transparent with pricing models and deliver within budget. Their dedicated teams act as an extension of the partner’s company. Responsibility and a commitment long-term partnership are two hallmarks of their work.

Let’s make your system stable, scalable, and easier to operate at any load.

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Core Performance Engineering Services

Our software performance engineering services combine the software development process, analysis, design, and validation into a seamless flow. Thus, performance fixes not only address root causes but also retain their effectiveness as systems change.

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Performance Diagnostics & Architecture Assessment
We identify how traffic flows through your system, where time and resources are lost, and which design decisions limit growth. This assessment helps teams abandon assumptions and focus their efforts on changing system behavior through clear evidence and testing.
Distributed System & Microservices Optimization
We tackle the issues of slow service communication, overloaded dependencies, and fragile component boundaries. The result is steadier response times, fewer cascading failures, and systems that behave predictably as complexity increases.
End-to-End Observability & Monitoring Implementation
By connecting metrics, traces, and logs into a usable performance monitoring signal, we create visibility across services, infrastructure, and runtime behavior. Teams receive early detection signals, trend analysis, and feedback when things drift. Thus, performance issues become easier to detect, explain, and prevent before users are notified.
Scalability Engineering & Cloud Cost Efficiency Optimization
We align upscaling with real demand for better efficiency. Capacity can still grow when needed, waste is reduced, and costs become more predictable without sacrificing stability during peaks or releases. Your systems can accommodate higher traffic without the risk of going out of control or requiring emergency capacity fixes.

Systems & Architectures We Optimize

Our software performance engineering services focus on building systems in which scale, concurrency, and distributed behavior determine whether platforms remain reliable or fail under pressure.

High-Load Transactional Systems
These systems are performing thousands of concurrent operations, and even minor delays can multiply quickly. Failures are often caused by contention, blocked calls, or resource imbalance. Performance engineering stabilizes execution paths to keep critical operations responsive.
Distributed Microservices Architectures
Microservices quietly fail when communication patterns deteriorate. Latency is added to calls, not within a single service. Performance engineering reshapes boundaries to keep systems steady as complexity increases.
Real-Time Data Processing & Streaming Platforms
Continuous ingestion reveals performance bottlenecks very quickly. Queues are piling up, and consumers are lagging. Performance engineering adjusts processing capacity to align with the event flow, preventing slowdowns.
Data-Intensive Analytical Applications
Massive datasets put pressure on memory, storage, and compute paths. Queries compete for resources, and response times stretch. We help you gain predictability while also controlling infrastructure growth.
API-Driven SaaS Platforms
API platforms fail when backend services can’t keep up. Latency is increasing unevenly across endpoints. Our specialists help you stabilize user requests under real usage patterns.
Event-Driven Asynchronous Backends
Asynchronous systems conceal problems until they overflow queues. Processing delays take place quietly and gradually. With performance engineering, we help you identify your weakest points and restore a steady event flow.

SPD Technology’s Technical Expertise in Engineering Performance

Our software performance engineering services are driven by engineers who work closely with the code, runtime, and infrastructure, where real performance limits are created. Successful performance engineering involves collaboration among project stakeholders, including business analysts, developers, and performance engineers.

Concurrency & Parallelism Engineering
Concurrency engineering means controlling how work runs in parallel without hidden blocking. It applies at the runtime level and is difficult because minor missteps only surface under sustained load. We design and tune concurrent execution to enable systems to run in parallel without lock contention or thread starvation.
Caching Strategy & Distributed Cache Design
We design cache layers that reduce pressure on databases and services without creating stale or inconsistent data paths. Getting this right is hard because cache failures often appear as random latency spikes. This applies across services and data stores, where poor design can silently amplify load rather than reduce it.
Async Communication & Non-Blocking I/O
Asynchronous communication is a great way to maintain responsiveness under heavy load. While it can be done with APIs and service calls, it is still tricky, as poor flow control can simply shift the problem rather than remove it. We replace blocking calls with async flows where latency matters most. This improves throughput and resilience but requires careful control to avoid runaway queues and unpredictable timing.
Resilience & Chaos Engineering Practices
We not only conduct testing of systems under load, but also how they fail. Resilience engineering reveals less obvious assumptions that are taken for granted before production. It’s used in services and infrastructure, and is quite a challenge since failures rarely repeat in the same way.

Network Performance Optimization
We break down the latency caused by each network hop, protocol, and service placement. Fine-tuning the network is about trimming those hidden delays between the services. It’s valid for cloud and hybrid setups, where system performance issues often stem from routing, not compute limits.
Threading, Memory & Garbage Collection Tuning
Runtime tuning is about making sure that systems remain responsive over time. We adjust thread pools, memory usage, and garbage collection across operating systems to avoid stalls. The JVM and CLR environments are where memory pressure and garbage collector pauses can quietly degrade performance if no action is taken.
Observability Architecture & Telemetry Engineering
Observability engineering is about making the raw data understandable and revealing. We design telemetry so that teams see how systems behave, not just that something failed. This applies across distributed services and is hard because noise often hides real signals.
SLO-Based Reliability Management
SLOs align performance work with what is actually expected. We set and uphold reliability targets directly linked to an enhanced user experience. This helps to make engineering decisions and prevents over-optimizing metrics that don’t matter to the business.

Security & Compliance in Performance Optimization

Our performance engineering services improve speed and stability without opening security gaps or putting regulated solutions at risk.

Security-Conscious Performance Optimization

Performance work often touches sensitive layers of the system. While we are improving code paths, infrastructure, and data flows, we also maintain security by ensuring that no exposures, misconfigurations, or access drift occur during development, tuning, or refactoring.
Compliance-Safe Observability with PII Controls

Visibility matters, but simply collecting telemetry can lead to compliance issues. We build observability solutions that account for data boundaries, anonymize sensitive fields, and align with regulatory rules, while also providing information about where performance is lacking.
Zero-Downtime Optimization for Mission-Critical Systems

Operating with live systems requires restraint because most platforms cannot tolerate outages. We carry out the optimizations under actual traffic conditions through phased deployments and rollbacks, keeping services available while enhancing performance in production.

Why Leading Organizations Partner with Our Performance Engineering Company

SPD Technology is chosen when teams need performance engineering services that work under pressure, not advice that stays on slides. We operate inside production realities.

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Engineering-First Approach, Not QA-Led Testing
Performance problems rarely start in test scripts. We work at the code, architecture, and infrastructure levels and make engineering decisions that remove bottlenecks at the source. Our experts validate changes under load to reduce the risk of fixes that look good in test but fail in production.
Deep Experience with High-Load and Mission-Critical Systems
Our teams have worked with platforms that handle continuous demand, strict uptime targets, and public visibility. This background shapes how we design fixes, prioritize risks, execute performance testing, and validate outcomes. The result you get is performance that holds up during traffic spikes, releases, and growth phases.
Integrated Observability, Reliability, and Performance Governance
Performance is not something that exists in isolation. We connect telemetry, reliability targets, and operational guardrails so teams understand how systems behave over time, not only during a brief testing window. Thus, we make performance predictable instead of reactive.
Proven Results in Improving Throughput, Latency, and Stability
Our work leads to measurable changes teams feel every day: faster workflows, steadier systems, and fewer performance-related incidents. These improvements continue to build as the systems grow, leading to less operational pressure and lower costs in the long run.

Trusted Globally by Innovation-Driving Companies

From Fintech industry stalwarts to industry-leading eCommerce providers, we ensure the comprehensive alignment between emerging technologies and established business processes.

An American financial services firm that provides investment research and investment management services
Financial data and software company with offices in London, New York, San Francisco, and Seattle.
All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
SaaS XSPN – Next Generation Application & Cloud Security Posture Management
A leading tech-enabled insurance company that provides workers’ comp coverage to small businesses

Certified

By Independent Organizations

Confirmed by Oracle certification, our company provides top-notch tech expertise in building and delivering cutting-edge database and cloud-based apps.

IIBA Certification signifies our proficiency in business analysis, ensuring a deep understanding of client needs and industry requirements.rn

With AWS Certification, we guarantee top-tier cloud expertise, enabling us to architect robust, scalable, and secure solutions.

Trusting your project development to us, you can rely on our project management excellence, meticulous planning, and efficient resource utilization. rn

Our Scrum Alliance Certification demonstrates our dedication to agile methodologies, fostering collaboration and iterative development.rn

Backed by Scrum.org Certification, our development team leverages the best principles of Scrum to build superior and iterative software solutions.

Let’s review how your system performance behaves today and define what needs to change to keep it stable at scale.

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FAQ

Answering common questions on software performance engineering.

How do performance engineering services ensure an enhanced user experience?
Users notice speed before they even look at specific features, so meeting user expectations is critical. Performance engineering services help in ridding software applications of slow responses and unpredictable behavior, particularly during high-traffic periods. This consistency keeps users moving through workflows without friction. Fixing performance problems early costs far less than patching them after release. All in all, fewer errors means more happy customers and less stress on support teams.
What’s the difference between performance testing and performance engineering?
Performance testing is a one-time job to find out what breaks under load, but engineering rebuilds the system to keep it stable. Performance engineering focuses on addressing primary causes, such as slow data access, contention, and scaling limits, to achieve lasting performance improvements. By prioritizing quality in software testing and system performance, you can ensure that performance engineering consistently delivers high-quality results, including enhanced user satisfaction and operational stability.
How much do performance engineering services cost?
There isn’t a set price because systems fail in various ways. The cost depends on the system’s complexity, the amount of traffic it handles, and how long issues last. Many teams end up saving money with lower cloud costs, fewer outages, and less emergency engineering work. In practice, performance engineering often lowers total operating costs rather than increasing them.
How can performance engineering be integrated into DevOps?
Performance engineering fits into DevOps as a continuous discipline. Engineers set targets and monitor behavior in real environments. We validate changes before and after they reach production. Continuous monitoring catches bottlenecks fast, so they can be fixed before users notice. This prevents surprises as features and traffic evolve.
How do you measure the success of performance engineering?
We measure success in terms important to businesses: response times, throughput, incident count, and system performance under peak load. Teams also monitor operational metrics, such as error rates and resource efficiency. The most significant indicator of success, however, is stability over time, whereby the system manages expansion without triggering any alarms.