What is retrieval-augmented generation? RAG is an AI framework for...
Enterprise Redis Consulting That Scales
Unlock the full potential of Redis with expert architecture design, performance optimization, and 24/7 support from certified Redis professionals.
Table of Contents
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Service Offering
- Application Code Review
- Application Code Solution Proposal
- Redis Transactions and Pipelining
- Redis Shards and Lua Scripts
- Redis Sharding and Key Affinity
- Session Management
- Redis Stack Capabilities
- Search & JSON
- Time Series
- Database Scalability
- High Availability and Persistence
- Cluster Monitoring and Event Logging
- Access control lists
- Upgrade Requirements & Planning
- New Feature Workshop
- Install & Configure Cluster(s)
- Create & Populate Database(s)
- Perform Upgrade
- Document Steps
- Demonstration of Deployment Features
- Software installation & upgrades
- Cluster creation and node joining
- Database creation and replication
- Identify Requirements for Deployment
- Discuss Configuration Options
- Configuration & Delivery
Comprehensive Redis Solutions
From initial setup to enterprise-scale optimization, we provide end-to-end Redis expertise
Performance Optimization
Architecture Design
Security & Compliance
Implement Redis security best practices, encryption, access controls, and compliance frameworks for HIPAA, SOC2, and GDPR.
Migration Services
Monitoring & Analytics
24/7 Expert Support
Round-the-clock access to certified Redis experts for troubleshooting, emergency response, and proactive system management.
Redis support
- Update Playbooks for Delivery
- Configure Inventory File Options
- Deploy Ansible Automation Release Kit
- Distribute Installation & User Guides
- Provide Assistance with Integration
- Review Automation Best Practices
- CI/CD Integration Assistance Pipeline Validation
- CI/CD Integration Assistance Pipeline Validation
- CI/CD Pipeline Review & Analysis- Identify DB Provisioning Stage
- Provide User Guide Document
- Discovery & Demonstration
- Review of Prometheus/Grafana
- Demonstration of Monitoring Features
- Grafana dashboards
- Alerting and notification
- Identify Key Metrics for Deployment
- Update Dashboards with Key Metrics
- Configure Alert and Notification Options
- Distribute Installation & User Guides
- Provide Assistance with Integration
- Review Monitoring Best Practice
- Use Case & Requirements Discovery
- Data Model Design & Development
- Document approach & recommendations
- Benchmark & analyze performance
- Document approach & recommendations
- Use Case & Requirements Discovery
- Identify Redis Stack data structures
- Expanded Design & Development
- Develop reference solution for use case –
- Document approach & recommendations
- Demonstrate Solution(s) (Q&A session)
Support Model
DURATION: 1year, 3year, renewable
RESONSE TIME:
Acknowledgement to be provided upon ticket receipt Standard Next Business Day (03:00-20:00 EST/EDT)
- Critical – Response time 1 hour, Updates provided until issue Resolved
- High – Response time 6 hrs, Updates provided until issue Resolved
- Medium – Response time 12 hrs, Updates provided until issue Resolved
- Low – Response time 24 hrs, Updates provided until issue Resolved
- Enhancements – Updates provided until issue Resolved
INCIDENTS AS MANY AS REQUIRED
Why Choose Redis Experts
Proven results that transform your application performance and reliability
85% Faster
60% Cost Savings
10M+ Users
Scale supported across our client base
100% Secure
Zero security incidents with our managed solutions
Redis caching solutions
Cache-aside: Speed up reads when consistency is not crucial
Query caching: When there is a need to speed up simple (SQL) queries with minimal overhead
Cache-aside (lazy loading) with Redis
When to use
- Speed up reads
- Cache misses are acceptabl
- Caching a subset of the dataset
- All data operations are handled by application, which directly communicates with both the cache and DB
Challenges
- Application latency due to high read response time from the system
of record (DB) - Difficulty implementing or maintaining a cache-aside architecture
Solution
- Using Redis alongside a system of record in a cache-aside pattern
Query caching with Redis
When to use
- Implementation of the cache-aside pattern focused on speeding up often-repeatable queries against a slower system of record
- Most common for repeated SQL queries
- Can be used for a variety of purposes, but common in architectures that migrate into microservices without replatforming their current systems of record
Challenges
- Latency with often repeatable queries
Solution
- Using Redis for SQL query caching by deploying a Redis cache alongside each system of record to speed up SQL queries
- Redis SmartCache is a library that enables developers to quickly deploy a standardized query cache to simplify management and operations without needing to re-architect code.
A real-time data platform built for all your caching needs—and beyond

Session Management
Cache and Session Management

Session Management – HTTP Sessions

Redis for Microservices
Simplifying microservice architecture with Redis

How to use Redis for Microservices
- API Gateway Caching/ Rate Limiting: Caching and rate limiting reduce risk of outages
- Query Caching (Single Domain): Cache aside pattern to overcome performance issues with legacy databases
- Inter-service Communication: Lightweight message broker using Redis Streams data structure
API Gateway Caching
Problem
- Authenticating millions of users and providing session data can overwhelm API gateway causing outages (single point of failure)
- Inability to scaling API requests during peak traffic
Solution
- Caching of session and authentication data and rate limiting at the API Gateway
Redis Benefits
- Secure, scalable, and efficient authentication to streamlined user login
- High availability and resilience to avoid application outage
- Simply operations and deployment with Redis Operator for Kubernetes
- Integration with Kong API Gateway management solution for easier deployments
Interservice Communication
Problem
- Need to communicate state, events, and data among microservices without breaking isolation (stay decoupled)
- Scaling interservice communication between hundreds of microservices
- Using Kafka as message broker is too complex, time consuming, and costly
Solution
- Leverage Redis Streams as the lightweight, asynchronous event driven message broker that provides a publish-subscribe capability with message persistence
Redis Benefits
- Reduced complexity, save time and costs by using lightweight, easy to deploy
- Redis Streams message broker on single multi-tenant data platform
- Reduced message latency, improving overall application performance
- Can reduce the number of DevOps resources needed by 2X due to automation and development efficiency
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