# Scale your graph's performance. Not your latency.

Break the compromise between organizational scale and API speed. Cosmo and Hub optimize query plans, prevent expensive subgraph fetches, and scale event-driven subscriptions — before a single change ships to production.

## See performance impact before you ship.

Optimize query plans, benchmark against production, and catch regressions in the proposal — not in the postmortem.

### Query plan preview

See exactly how the router executes each operation — before it merges.

### Real-world benchmark

Top 100 operations by latency from Cosmo. Optimize what actually hurts.

### Event-driven scale

Cosmo Streams to Kafka. Subscriptions at the scale you need.

### Catch regressions early

Complexity diff in the proposal thread. No 2am postmortems.

## The Problem

### Distributed systems are fast to build. Slow to run.

Consumers want a single, fast API. Your org needs microservices to scale across teams. When teams build in silos, nobody owns the full picture of how queries execute. A field moves to the wrong subgraph. An extra hop gets added to checkout. By the time you find out, it's already in production.

### Nobody owns the full picture

How queries execute across services is invisible. Field moves and extra hops only show up after they ship.

### Performance in production, not in the proposal

By the time you find out a change hurt latency, it's already live. Postmortems instead of prevention.

### Schema design vs. runtime reality

The gap between what you design and how it runs. No visibility into complexity until it's too late.

## Built for scale

### Performance and organizational scale are the same problem.

### Query plan preview

See how the router executes every operation. Complexity diff before merge.

### Real-world benchmark

Top 100 operations by latency from Cosmo. Optimize what actually hurts.

### Event-driven scale

Cosmo Streams to Kafka. Cosmo Connect for gRPC. Scale without rebuilding.

### Catch regressions early

Complexity diff in the proposal thread. Full information before ship.

## How It Works

### See performance impact before you ship in the proposal.

That's the difference between optimizing in the proposal and guessing in production.

#### Before merge

See how the router will execute every operation.

Hub's Optimizer shows which subgraphs get called, in what order, and how many round trips. Change your schema — the query plan updates instantly.

### Side by side

#### Current branch vs. proposed change.

Complexity score and subgraph fetch diff. If a field move adds a hop, you see it. If it removes one, you see that too — with the math to prove it.

### Production reality

#### Measure against what already hurts.

Hub imports your top 100 operations by real-world latency from Cosmo. Every schema change is measured against the queries that already slow your users down.

### In the proposal

#### Regressions surface in the thread, not on-call.

If your change increases complexity for a latency-sensitive query, that surfaces in the proposal. Subgraph owners see the diff. The decision gets made with full information.

## Everything you need to optimize at scale

Query plans, benchmarks, and regression detection — all before your changes hit production.

### Query Plan Preview

Preview your query plan. Every time. Before it merges.

Hub's Optimizer shows exactly how the Cosmo Router will execute each operation — which subgraphs, in what order, how many round trips. Compare current branch vs. proposed change. If a field move adds a fetch, you see it. If it removes one, you see that too — with a complexity score.

Moving a field from HR to Users? The Optimizer can show you that eliminates a redundant network call — before you ship.

### Catch regressions in the proposal, not the postmortem.

Every schema proposal runs against your production operation data. If your change increases complexity for a latency-sensitive query, that surfaces in the proposal — not in an on-call alert at 2am.

Full information in the thread. **No guessing**. No postmortems.

### Real-World Benchmark

Optimize what actually matters — your slowest queries.

Hub imports your top 100 operations by real-world latency from Cosmo. Every schema change is measured against the exact queries that already hurt your users. You're not optimizing in a vacuum.

## Built for the scale you're already at.

Whether you're running 10 subgraphs or 100, Cosmo and Hub are designed so you don't have to choose between moving fast as a team and shipping a fast API.