● ENGINEERING PERFORMANCE / RELIABILITY / AI
Engineering Performance,
Reliability & AI at Scale
We help engineering teams build systems
that stay fast, reliable and cost-efficient —
from core infrastructure to AI agents.
SYSTEM PERFORMANCE
● LIVE
API LATENCY
124 ms
PERFORMANCE TREND
● SYSTEM HEALTHY
SLO
99.95%
GPU
72%
ERROR RATE
0.08%
TOKEN USAGE
18.2K
01 / BUSINESS RISK
THE COST OF IGNORING PERFORMANCE
7%
FEWER CONVERSIONS
Per second of page load delay — slow is expensive.
∞
SILENT REGRESSIONS
Compound every sprint, undetected until production breaks.
10×
AI AMPLIFIES RISK
Inference latency and model drift scale your blind spots at speed.
01 / CORE SERVICES
Four disciplines. One engineering system.
Specialized engineering practices designed to keep your systems fast, observable, reliable and AI-ready.
01
Performance Engineering
& Optimization
Architect and tune systems for speed,
scalability and cost efficiency at every layer.
02
AI Performance Engineering
Optimize inference, agents, tokens,
models, GPUs and AI reliability
end-to-end.
03
Monitoring & Observability
Gain full visibility into your systems
with metrics, tracing and actionable alerts.
04
SRE & Reliability Engineering
Embed reliability practices, SLOs
and incident response into your
engineering culture.
02 / PERFORMANCE ENGINEERING
Engineer for performance. Build for scale.
Performance requirements should be embedded from architecture through production — not discovered after launch.
01
SHIFT-LEFT PERFORMANCE
Embed performance requirements, baselines and gates from architecture design — not just pre-launch load tests.
ARCHITECTURE → PRODUCTION
02
CONTINUOUS PERFORMANCE GATES
Turn performance into an automated engineering control by defining measurable thresholds inside the CI/CD pipeline and blocking regressions before they reach staging or production.
CODE → CI/CD → PERFORMANCE GATE
03
SCALABILITY & COST EFFICIENCY
Scale systems confidently without simply scaling infrastructure costs. Identify bottlenecks, right-size resources and optimize infrastructure while maintaining the headroom needed for growth.
PERFORMANCE ↑ COST ↓ HEADROOM ✓
04
CAPACITY PLANNING
Understand how your infrastructure will behave as demand grows. Model traffic scenarios, validate capacity and identify infrastructure headroom before growth or traffic spikes expose weaknesses.
DEMAND → CAPACITY → HEADROOM
03 / AI PERFORMANCE ENGINEERING
Optimize the entire AI execution path.
Optimize inference, models, tokens and agent workflows while keeping AI systems reliable and cost-efficient.
01
Inference Optimization
Reduce latency and GPU cost across LLMs, embedding models and multi-agent pipelines.
02
Token & Model Efficiency
Tune prompts, context windows and model selection to cut costs without degrading output quality.
03
AI Reliability & Guardrails
Evaluations, drift detection and safety guardrails that keep AI systems predictable in production.
04
Agent Performance
Benchmark and optimize multi-step agent workflows — latency per step, tool-call overhead and failure recovery paths.
03 / AI PERFORMANCE ENGINEERING
Model
Selection
Quality
Cost
Tokens
Inference
Latency
GPU Cost
Throughput
Autoscaling
Agent
Tool Calls
Latency / Step
Failure Recovery
Reliability
06 / AI PERFORMANCE
Optimize every layer of the AI execution path.
Engineer AI systems for faster inference, efficient models, optimized token usage, and reliable agent workflows.
01
MODEL
- Selection • Quantization
- Batching • GPU Utilization
02
INFERENCE
- vLLM • TGI • Triton
- Autoscaling • Cold Starts
03
APPLICATION
- Prompts • RAG • Vector DB
04
EVALUATION
- Evals • Regression • Quality
07 / MONITORING & OBSERVABILITY
Know what’s happening across your systems.
Monitor infrastructure, applications and AI systems in real time — and detect problems before they impact users.
01
Full-Stack Telemetry
- Metrics, logs and traces from your entire system.
02
Proactive Alerting
- Detect performance issues before customers notice.
03
AI Observability
- Track tokens, inference latency and AI behaviour.
04
SLO Dashboards
- See reliability and error-budget health in one place.
SRE & RELIABILITY ENGINEERING
Keep systems reliable as they scale.
Performance isn’t just a technical concern. It’s a business risk.
01
SET
TARGETS
02
PREVENT
INCIDENTS
03
RESPOND
RECOVER
04
IMPROVE
04 / RESILIENCE
CHAOS ENGINEERING
Break Things on Purpose. Before Production Does.
We safely introduce controlled failures into your systems to discover weaknesses before they become real outages.
01
TEST FAILURES
Simulate server failures, network issues and delays.
02
FIND THE IMPACT
Identify what breaks and how failures spread.
03
PRACTICE RESPONSE
Run controlled game days so teams know what to do.
04
BUILD RESILIENCE
Fix weaknesses before customers experience them.
02 / HOW WE WORK
Flexible Engagement. Measurable Impact.
We meet your team where it is — through focused assessment, embedded engineering, or ongoing reliability support.
Why DevPerfOpz
Specialists. Not generalists.
01
SPECIALISTS, NOT GENERALISTS
02
OUTCOME-DRIVEN
03
AI-NATIVE
04
SHIFT-LEFT CULTURE
Technologies
Technologies used
01
CI/CD & DevOps
GitHub Actions · GitLab CI · Jenkins · ArgoCD · Tekton
02
Cloud
AWS · GCP · Azure · Kubernetes · Serverless
03
Performance
k6 · Gatling · JMeter · Locust · Artillery · Lighthouse
04
Agent AI & ML
OpenAI · Anthropic · Hugging Face · vLLM · LangChain · LlamaIndex · Vertex AI
DEVPERFOPZ
Engineering
Performance,
Reliability & AI at Scale.