Valkey Router
Scale to millions of clients and requests per second with connection pooling, throttling, request coalescing, TLS termination, JWT auth, and a web-scale HTTP API.
Platform Engineering Toolkit for Valkey
Run Valkey with the gateway, Kubernetes control plane, hardened runtime, and production modules that platform teams need for serious scale.
Route traffic, govern Kubernetes clusters, and run tuned Valkey nodes without stitching together unrelated components.
The stack reflects Momento's experience running mission-critical cache infrastructure for high-scale applications.
Deploy in your environment while preserving the performance, security, and operational defaults of a managed platform.
Architecture
Each component maps to a platform engineering concern: traffic, lifecycle governance, runtime standards, storage economics, observability, and security.
Products
Scale to millions of clients and requests per second with connection pooling, throttling, request coalescing, TLS termination, JWT auth, and a web-scale HTTP API.
Run Valkey on any CNCF-conformant Kubernetes service using purpose-built CRDs, RBAC policy, flexible namespacing, and direct pod lifecycle control.
Deploy the same tuned Valkey container foundation that powers Momento, with always-on secure defaults, day-0 CVE patching, and optional tiering, observability, and security modules.
Traffic visual
Client fan-out, direct HTTP access, global round trips, hot keys, and auth all terminate in one fast layer that keeps the data plane focused on commands.
Control visual
Purpose-built CRDs and RBAC encode what platform teams want: deliberate versions, isolated clusters, safer rollouts, and direct control when load gets weird.
Runtime visual
Performance tuning, CVE patching, secure runtime choices, observability, and data tiering travel with the container instead of living in scattered runbooks.
Operate
The Momento stack turns Valkey from a collection of moving parts into a disciplined production system.
Keep the Valkey API while the router absorbs traffic spikes, optimizes connections, and lets clusters focus on commands.
Encode versions, node shapes, rollout behavior, and policy into Kubernetes-native resources that platform teams can own.
Use hardened builds, OpenTelemetry metrics, secure runtime behavior, and storage expansion options designed for long-lived production clusters.
Extensions
The Enterprise Image is the base; modules add the platform features operators normally have to assemble themselves.
Expand string and byte storage to local NVMe or remote sinks such as S3 Express and Postgres. Zero-copy Rust read/write paths make large-object overhead negligible.
Emit the same advanced OpenTelemetry metrics Momento uses for hyperscale clusters, so teams can catch queue depth, replication, eviction, and saturation issues early.
Run without root, strip the container to minimal runtime dependencies, and compile out high-risk surfaces such as Lua scripting to reduce exposure to RCE vectors.
Pricing
Use the layers you need, then combine them as the operating model matures.
Total bytes sent and received by the router. Priced to scale with the traffic layer, not the number of clients behind it.
Total configured storage for Valkey instances managed by the operator across your internal Kubernetes platform.
Production-ready base image with optimized Valkey engine and CVE-patched builds.
Add-ons are priced per GB-month of configured capacity. Discounts are available for multi-year commitments, usage volume, and multi-product combinations.
Why Momento
A stable endpoint, standard Valkey protocol compatibility, direct HTTPS options, and fewer application-level workarounds for global access, hot keys, and auth.
Explicit lifecycle control, Kubernetes-native policy, hardened images, production telemetry, and the confidence that every layer was designed to work together.
FAQ
No. Each product is valuable on its own, but the strongest operating model comes from using the router, operator, and image as coordinated layers of the same Valkey platform.
Yes. The stack is self-managed and designed for teams running Valkey in their own cloud or Kubernetes environment while keeping control over data, security, and capacity.
The enterprise image is tuned for performance, ships with accelerated security patching, and can add modules for data tiering, observability, and stronger runtime hardening.
Applications continue speaking the Valkey protocol through the router. Teams can also expose secure HTTPS access without bolting on another gateway layer.