Fast access
In-memory reads and writes that take load off the primary database for frequently accessed data.
Expertise · Redis
Redis Development: In-Memory Caching and Data for Better Performance
Etixio implements Redis, an in-memory database, to speed up certain data access and manage temporary data without losing control of its lifecycle: caching, sessions, job queues, real time. We also use it in the AI services we take to production, for caching, rate limiting and conversation state.
Understanding the technology
Redis in your project.
Redis is a data store often used for fast access, caching or temporary data. Its value depends on the role it plays in the architecture and the guarantees expected of it. You need to define how long information lives and which source remains authoritative for the business.
The strengths for your application
Why choose Redis?
Redis keeps data in memory, which gives it very low latency. It complements a primary database such as PostgreSQL or MySQL rather than replacing it.
Rich data structures
Strings, hashes, lists, sets, sorted sets, streams, bitmaps and HyperLogLog, each suited to a specific use.
A wide range of uses
Caching, session storage, message queues, rate limiting, distributed locks, counters and real-time leaderboards.
High availability
Redis Sentinel and Redis Cluster provide automatic failover and data sharding.
Persistence options
RDB snapshots, AOF log or a combination of both, depending on the level of durability required.
Our scope of work
The work we take on.
Caching
Define keys, time-to-live values and invalidation rules.
Use cases
Assess sessions, counters or coordination based on the application’s needs.
Resilience
Plan behavior when Redis is unavailable and monitor memory usage.
Our Redis expertise
The Redis ecosystem we master.
Redis core
Recent versions of Redis and Valkey, data structures and geospatial commands, atomic operations, MULTI / EXEC transactions and Lua scripts.
Caching strategies
Cache-aside, read-through, write-through and write-behind, TTL-based or event-based invalidation, cache warming.
Real time
Pub/Sub for message broadcasting, Streams for event logs and job queues, sorted sets for leaderboards and time windows.
Deployment & monitoring
Redis Cluster and Sentinel, security with ACLs and TLS, monitoring with Redis Insight, Prometheus metrics and Grafana dashboards.
Redis and AI
Redis in production AI services.
An AI service in production needs the same mechanisms as a demanding application: caching responses or embeddings already computed, rate limiting model calls to control costs, keeping the state of an agent conversation, distributing long-running jobs across queues. Redis covers these needs and also offers vector search capabilities. See our AI solutions for businesses and our AI agents and chatbots.
In the field
From technology to real-world use.
To speed up a screen that brings together several pieces of information, we can prepare a cached value and specify when it must be refreshed. The application must also work when that value is missing or when the cache is unavailable. Tests check that users never receive data from another account or an outdated state.
The choices that matter
The choices to review before building.
A cache can shift problems toward invalidation and consistency. We examine data size, expiration, memory policies and recovery after an incident. Critical information is only entrusted to this component with a persistence and recovery strategy suited to its use.
From work to deliverables
Work your team can take over.
The scope of the engagement specifies the components to build or rework and the acceptance criteria. We prepare what is needed to understand the changes, verify them and continue the work.
- Documented data model
- Migrations and integration tests
- Analysis of data access and queries
Frequently asked questions
Redis: your questions.
What is Redis and why use it?
Redis is a very fast in-memory key-value database. It is used for caching, sessions, real-time features, counters and messaging. It complements an application’s primary database.
Is Redis suitable for enterprise applications?
Yes, with the right architecture — Sentinel or Cluster for high availability, configured persistence, ACLs and TLS — and memory monitoring. Managed and commercial offerings exist for environments that need them.
What is the difference between Redis and Memcached?
Memcached is a simple, lightweight cache. Redis also offers data structures, persistence, replication and transactions. Redis therefore covers more use cases; Memcached remains sufficient for a basic key-value cache.
Redis or Valkey, which one since the license change?
In 2024, Redis moved from the BSD license to non-open-source licenses (RSALv2 and SSPLv1). The Linux Foundation then launched Valkey, a BSD-licensed fork compatible with the Redis protocol and backed by several cloud providers. Since Redis 8 (2025), Redis is also available under the AGPLv3 license. Clients and common commands work with both. We choose based on your licensing policy, your provider’s managed offering and the features you use, then test the application on the chosen target.
What data structures does Redis offer?
Strings, hashes, lists (queues, stacks), sets, sorted sets (leaderboards), streams (event logs), bitmaps and HyperLogLog. Each one matches a specific type of use.
How do you handle persistence with Redis?
RDB snapshots provide fast periodic backups, the AOF log provides better durability, and the combined mode brings both together. The setting depends on how much data you can accept losing in the event of an incident.
How do you scale Redis?
Redis Cluster automatically shards data across multiple nodes, Sentinel handles failover, and replicas can absorb read traffic. Data size and eviction policies must be monitored.
How do you secure Redis?
Never expose it to the internet, enable authentication and ACLs, encrypt traffic with TLS, restrict sensitive commands and filter network access. The default configuration must be reviewed before going to production.
When should you use Redis instead of a traditional database?
Redis for hot data, caching, real time, temporary data and very frequent operations. A traditional database for durable data, complex queries and transactions. The two are usually combined.
What is Redis used for in an AI application?
Caching responses or embeddings, rate limiting model calls, keeping conversation context and managing job queues. Redis also offers vector search, useful for some document search use cases.
What engagement models do you offer?
A fixed-price project for a caching architecture or a high-availability setup, a dedicated team to evolve the application over time, or a targeted engagement (performance, incident).
Let’s talk about your technical context.
Tell us about the application, the issue to address and the known constraints. We will review the dependencies and the initial scope of work with your team.