Developer's Note
JPMorganChase Global Headquarters, New York City

Developer's Note

Developer Tech Brief

Today’s Edition — What Elite Engineering Teams Are Doing Differently

No recycled trends. No “AI will change everything.” This is about real engineering shifts happening inside top teams right now.


Architecture of the Day

Internal Developer Platforms (IDPs)

Article content

Top companies are building platforms for their own developers.

Think of it like:

“AWS, but inside your company”


What it looks like

Developer
   ↓
Internal Platform (Self-Service Portal)
   ↓
Infrastructure + Services        

Core Stack

  • Platform UI -> Backstage
  • Infra -> Kubernetes
  • CI/CD -> GitHub Actions
  • Service Templates -> YAML / Terraform


Why it’s exploding

  • devs don’t deal with infra directly
  • faster onboarding
  • standardized deployments


Real Use Case

Instead of: “Set up Docker, Kubernetes, CI/CD manually”

You get: “Click → Create Service → Deploy”


Backend Engineering

gRPC + Connect Protocol (Quietly Replacing REST Internally)

Article content

REST is still everywhere externally—but internally?

Teams are shifting to gRPC-based communication


Why?

  • Binary protocol -> faster than JSON
  • Strong typing -> fewer bugs
  • Streaming -> real-time data


Stack

Service A ↔ gRPC ↔ Service B        

Tools:

  • gRPC
  • Connect (modern alternative)
  • Protobuf


Where it shines

  • microservices
  • trading systems
  • internal APIs


Frontend Engineering

Micro-Frontends (But Done Right This Time)

Article content

Earlier attempts failed due to complexity.

Now they’re back—with better tooling.


Pattern

Shell App
   ├── Auth Module
   ├── Dashboard Module
   ├── Trading Module        

Each module:

  • independently deployed
  • owned by different teams


Tools

  • Module Federation -> Webpack
  • Single-SPA -> orchestration
  • Nx -> monorepo management


Use Case

Large products like:

  • trading platforms
  • enterprise dashboards
  • multi-team SaaS


Tool of the Day

Temporal (Workflow Engine)

Article content

This is a game changer for backend systems.


What it does

Manages:

  • retries
  • failures
  • long-running workflows


Example

Order Created
   ↓
Payment → Retry if failed
   ↓
Inventory Check
   ↓
Shipping        

Why devs love it

  • no manual retry logic
  • reliable distributed workflows
  • production-grade orchestration


Quant Developer Section

Order Book Simulation Engines

Article content

Quant developers are building realistic market simulators.


Why it matters

Backtesting with candles is outdated.

Now: simulate full order books


Stack

Historical Tick Data
        ↓
Order Book Simulator
        ↓
Strategy Testing        

Tools

  • Python -> simulation logic
  • C++ / Rust -> performance
  • Numba -> speed optimisation


Use Case

  • HFT strategies
  • market making
  • slippage modeling


Engineering Trend

“You Build It, You Run It” Culture

Article content

Developers now own:

  • code
  • deployment
  • monitoring


Stack

Code → CI/CD → Deployment → Monitoring → Alerts        

Tools:

  • Prometheus
  • Grafana
  • OpenTelemetry


Why it matters

  • faster debugging
  • ownership mindset
  • better system reliability


Practical Stack

Enterprise-Grade Scalable System

Frontend
Next.js + Module Federation

Backend
Go / FastAPI + gRPC

Infra
Kubernetes + Terraform

Workflow
Temporal

Observability
Prometheus + Grafana        

Engineering Insight

Beginner developers learn: frameworks

Advanced developers learn: systems

Elite developers build: platforms

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