EDEN SUBSTRATE / THE OPERATIONAL LAYER FOR DATA IN MOTIONLearn More
eden

Modernize productionwithout downtime.

Eden gives platform engineering teams a practical control layer for upgrading data, gateways, and runtime infrastructure while the business stays online.

No platform rewriteValidate under live loadRecovery stays attached

Modernize without rewrites

Replace data systems, gateways, and runtimes behind stable interfaces instead of rebuilding every dependency.

Validate while production runs

Use live capture, replay, and operational evidence to understand the change before it becomes irreversible.

Keep recovery attached

Carry rollback state, policy, and the record of every decision with the same workflow from start to finish.

The modernization workflow

Change the stack. Keep the system live.

Eden turns a dangerous all-at-once project into observable stages: connect the current system, prove the next state with real traffic, then advance with recovery ready.

  1. 01
    Connect what exists

    Bring current runtimes, data systems, and policy boundaries into one view.

  2. 02
    Prove the replacement

    Capture, replay, compare, and validate without taking production offline.

  3. 03
    Advance with evidence

    Move only when the result and recovery path are visible to the team.

Hyperscale-grade building blocks, without the rebuild.

Adopt what the next stage needs—AI, storage, data gateway, modernization, operations, or security—while keeping one operating model around the work.

01

AI

Run inference, discover marketplace capacity, operate agent fleets, route models, ground answers with RAG, and train governed models.

  • Inference
  • Distributed KV caching
  • Marketplace
  • Agent fleet
  • AI gateway
  • RAG
  • Semantic layer
  • Training
Explore AI
02

Storage

Run the storage primitives your applications and AI depend on, in the infrastructure you control.

  • Key-value
  • Relational
  • Object storage
  • Document
  • Streaming
Explore Storage
03

Data Gateway

Act on data across systems with gateways, APIs, workflows, transactions, and shared context.

  • Multi-gateway
  • Auto caching
  • Real-time query optimization
  • Traffic replication
  • APIs & integrations
  • Workflows
  • Transactions & composition
Explore Data Gateway
04

Modernization

Plan, test, move, validate, cut over, and recover production systems without a blind migration.

  • Database migrations
  • Kafka / stream migrations
  • Modernization
  • Code Modernization
  • Migration readiness
  • Traffic replay & live testing
  • Backup & recovery
Explore Modernization
05

Operations

Understand production, optimize behavior, investigate incidents, and operate fleets, costs, telemetry, and deployments.

  • Live operations
  • Workload intelligence
  • Recommendations & optimization
  • Incidents & investigations
  • Fleet & runtime health
  • Costs & usage
  • Logs, metrics & traces
  • Customer infrastructure
Explore Operations
06

Security

Protect AI, agents, data, identities, credentials, policy, approvals, evidence, and private connectivity.

  • AI & agent security
  • Data access security
  • Universal masking
  • PII & data loss prevention
  • Identity & access
  • Policy & governance
  • Approvals & audit
  • Event log
  • VPN & NAT gateway
Explore Security

Evidence before the architecture meeting.

Eden is built to make production systems easier to change—and to keep the controls fast enough to belong in the critical path.

Controlled results are workload-specific, not universal capacity claims. Review the method and source behind every comparison.

Direct results with named baselines or workload context.

Gateway / Redis

80/20 GET/SET

400k req/sEden direct → Redis · Single Redis backend reaches its limit after 2 vCPU.
Eden direct · 1 vCPU200k req/s
Eden direct · 2 vCPU400k req/s
Eden direct · 4 vCPU400k req/s
Eden direct · 8 vCPU400k req/s

Eden direct capacity · 1, 2, 4, and 8 vCPU · 32-CPU Linux · June 21, 2026

Gateway / PostgreSQL

TPC-B

4.2k TPSEden direct → PostgreSQL · The database workload becomes the limit after 2 vCPU.
Eden direct · 1 vCPU3.3k TPS
Eden direct · 2 vCPU4.2k TPS
Eden direct · 4 vCPU4.2k TPS
Eden direct · 8 vCPU4.2k TPS

Eden direct capacity · 1, 2, 4, and 8 vCPU · 32-CPU Linux · June 21, 2026

Gateway / PostgreSQL

Prepared select-only

120.2k TPSEden direct → PostgreSQL · Gateway forwarding scales when storage work is removed.
Eden direct · 1 vCPU17.4k TPS
Eden direct · 2 vCPU35.5k TPS
Eden direct · 4 vCPU67.2k TPS
Eden direct · 8 vCPU120.2k TPS

Eden direct capacity · 1, 2, 4, and 8 vCPU · 32-CPU Linux · June 21, 2026

Gateway / MongoDB

OP_MSG find

27.6k req/sEden direct → MongoDB · The current direct path keeps improving through 8 vCPU.
Eden direct · 1 vCPU8.3k req/s
Eden direct · 2 vCPU13.9k req/s
Eden direct · 4 vCPU23.2k req/s
Eden direct · 8 vCPU27.6k req/s

Eden direct capacity · 1, 2, 4, and 8 vCPU · 32-CPU Linux · June 21, 2026

Gateway / AI Gateway

OpenAI chat

5k req/sEden direct → AI Gateway · Clean capacity continues through 8 vCPU before queueing begins.
Eden direct · 1 vCPU2k req/s
Eden direct · 2 vCPU3k req/s
Eden direct · 4 vCPU4k req/s
Eden direct · 8 vCPU5k req/s

Eden direct capacity · 1, 2, 4, and 8 vCPU · 32-CPU Linux · June 21, 2026

Gateway

Redis efficiency

32% less CPUMatched 400k req/s · Eden Gateway vs Envoy Redis proxy
Eden Gateway10.83 CPU-s / 1M
Envoy Redis proxy15.95 CPU-s / 1M

Redis 80/20 GET/SET · 32-CPU Linux · June 5, 2026

Database

PostgreSQL forwarding

90k TPS1.24× throughput · Eden Gateway vs direct PostgreSQL
Gateway90k TPS
Direct PostgreSQL73k TPS

pgbench simple-query · 256 clients · 32-CPU Linux · July 12, 2026

Telemetry

Telemetry throughput

8.8B ops/s2,364× throughput · fast telemetry vs OpenTelemetry SDK
Fast telemetry8.8B ops/s
OpenTelemetry SDK3.7M ops/s

Labeled-counter churn · 10-core Apple M1 Pro · April 6, 2026

Key-value / ShardKV

ShardKV · single core

3.26M ops/s2.7× throughput · ShardKV direct vs documented market baseline
ShardKV direct3.26M ops/s
Market leader1.20M ops/s

TCP · 64 B values · 80/20 GET/SET · pipeline depth 64

Key-value / ShardKV

ShardKV · cluster

17.5M ops/s1.8× throughput · ShardKV direct vs documented market baseline
ShardKV direct17.5M ops/s
Market-leader cluster9.6M ops/s

16 vCPU · small-value GET workload · documented throughput report

AI Gateway

Buffered response throughput

12k req/sGateway clean ceiling · Envoy completed 2.53k req/s in its 8k-offered run
Gateway clean ceiling12k req/s
Envoy at 8k offered2.53k req/s

Buffered 64 KiB response · shared synthetic upstream · sustained-load run

The software foundation large teams build for themselves.

Gateways with guardrails

Route services, models, and data through policy, observability, and controls that stay close to the work.

Data foundations that evolve

Upgrade databases, caches, streams, and storage without coupling the change to application downtime.

AI systems that can operate

Put inference, agents, context, and tools behind the runtime controls production teams need.

Operations that stay accountable

Give teams evidence for performance, cost, access, incidents, and recovery across every environment.

Build the next version of production.

Start with one system, prove the change against real traffic, then bring the same control model to the rest of the stack.

Start building