Redis & Valkey Services
Expert Redis and Valkey consulting for high-performance in-memory databases, caching solutions, and real-time applications. Optimize your data layer for maximum speed and efficiency.
Latency & Memory Profiling
Optimize maxmemory-policies, memory fragmentation ratios, and RDB/AOF persistence latency spikes.
Cluster & Sentinel HA
Design and manage Redis Clusters with automated shard rebalancing and Sentinel zero-downtime failovers.
Advanced Data Structures & Lua
Implement HyperLogLog, Bloom filters, and atomic server-side Lua scripting for complex business logic.
Security & Encryption
Secure Redis deployments with AWS KMS integrated TLS, ACLs (Redis 6+), and strict network isolation.
Pub/Sub & Event Streams
Architect robust real-time messaging using Redis Streams (Consumer Groups) and Pub/Sub pipelines.
Seamless Valkey Migration
Zero-downtime migrations from Redis/ElastiCache to open-source Valkey or newer Redis versions.
Redis & Valkey Expertise
Our in-memory database specialists deliver high-performance solutions for caching, session management, and real-time applications.
Technologies We Work With
Complete Redis and Valkey ecosystem support
Related In-Memory & Caching Services
Valkey Consulting
Open-source Redis alternative with AWS, Google, and Oracle backing. Expert Valkey migration, Lua scripting, and cross-datacenter replication consulting.
Aerospike Services
Sub-millisecond latency at petabyte scale with Aerospike's hybrid memory architecture — ideal when Redis/Valkey doesn't scale far enough.
Compare with Other Databases
JusDB operates production fleets across most major engines. If you're weighing alternatives, here are the most common ones our customers compare against.
Valkey
Linux Foundation fork of Redis after the March 2024 license change — wire-compatible and the default in new ElastiCache deployments.
Dragonfly
Redis-protocol-compatible single-binary KV store optimized for modern multi-core hardware — claims 25× throughput on the same workload.
Aerospike
When Redis cluster slot management and memory pressure start dominating ops time, Aerospike's hybrid memory + persistence is the usual evaluation.
MongoDB
Redis as cache + MongoDB as primary is the canonical two-tier pattern for read-heavy session and catalog workloads.