Transportation systems are mission-critical, so included high availability and disaster recovery using Replication: implemented master-replica replication to ensure availability in case of a failure. Redis Sentinel: Use Sentinel to monitor Redis instances and automate failover. Cluster: For larger datasets, use Redis Cluster for data sharding and horizontal scaling.
• Responsible for managing, maintaining, and optimizing Redis database environments to ensure high availability, performance, and scalability.
• Installation, Configuration, and Setup – Install and configure Redis servers (both standalone and clustered setups). Set up Redis in various environments (development, staging, production) based on application needs. Configure high-availability (HA) and persistence mechanisms (AOF, RDB backups). Manage and configure Redis on cloud services like AWS, Azure, or Google Cloud.
• Database Monitoring and Performance Tuning – Monitor database performance metrics like latency, memory usage, and throughput using Redis monitoring tools (Redis Insight, Prometheus, Grafana). Identify performance bottlenecks and optimize Redis performance by tuning memory settings, key eviction policies, and other configurations. Monitor and manage Redis clusters or sentinel setups for availability and performance.
• Backup and Disaster Recovery – Set up and maintain automated backup strategies for Redis databases. Ensure proper disaster recovery (DR) procedures by configuring persistence, failover, and data replication. Test and validate data restoration processes regularly.
• High Availability and Clustering – Configure and manage Redis Sentinel for failover and HA. Set up Redis clustering, ensuring proper sharding and data replication across nodes.
• Manage node failover and recovery processes in clustered environments.
• Security and Access Control – Implement Redis security best practices, such as configuring authentication (Redis AUTH), SSL/TLS encryption, and access control lists.