Answer in Microseconds.
Operate with Zero Ops.
Neviri Managed Redis keeps your hottest data resident in RAM — sessions, cache layers, queues, and counters served in microseconds. Persistence, Sentinel failover, and network security are configured for you from the very first GET.
Serve Reads from RAM, Not Disk
Most read traffic is repetitive: the same sessions, profiles, and product listings fetched thousands of times a minute. Sending every one of those reads through SQL parsing, planning, and disk I/O burns database CPU on answers that never changed.
Neviri Managed Redis slots a RAM-resident tier in front of your database, absorbing the repetition before it ever becomes load:
- Microsecond reads: hot keys answered straight from memory
- TTL-driven freshness: cached rows expire before they go stale
- Instant relief: database CPU collapses as the hit ratio climbs
Cache Acceleration Simulator
Cache tier active. Hit ratio 96%. Toggle Redis Cache OFF to route every read to SQL...
Everything Redis Should Be in Production
Every managed instance ships with persistence, replication, failover, and network hardening configured from the first second.
In-Memory Microsecond Reads
Your entire working set lives in RAM. GET and SET operations complete in microseconds, holding sub-millisecond p99 latency even at tens of thousands of operations per second.
RDB Snapshots + AOF Log
Point-in-time RDB snapshots pair with an append-only file that journals every write. Tune appendfsync from everysec to always to match the durability your data demands.
Sentinel Auto-Failover
Replicas stay in continuous sync while Redis Sentinel monitors the primary. On failure, a quorum promotes a replica and traffic re-routes within seconds — no paging, no manual promotion.
Configurable Eviction Policies
Choose allkeys-lru, LFU-based, or TTL-driven eviction for when memory fills. Redis discards the least valuable keys instead of failing your writes — switchable live from the dashboard.
Pub/Sub & Redis Streams
Broadcast events instantly over Pub/Sub channels, or build durable consumer-group pipelines with Redis Streams — no separate message broker to deploy or babysit.
TLS, VPC & AUTH Locked Down
Every connection is encrypted with TLS in transit, endpoints stay confined to your private VPC, and clients authenticate with AUTH credentials you can rotate on demand.
Wired into the Neviri Ecosystem
Managed Redis lives on the same private fabric as your compute, so the fastest tier of your stack is also the closest one.
Session & Cache Layer for Compute
Provision Redis beside your Neviri app containers and VMs. Session lookups and cached query results resolve over the local VPC fabric in well under a millisecond.
Queues, Counters & Rate Limits
Back BullMQ and Celery workers with a managed broker, and enforce sliding-window rate limits across microservices using atomic INCR and EXPIRE operations.
Private VPC Networking
Redis never receives a public route by default. Only backend nodes inside your VPC subnet can reach the endpoint, keeping the data plane invisible to the internet.
Every Standard Client, Unmodified
Neviri Managed Redis speaks the standard RESP wire protocol, so the client library your team already uses connects without patches, proxies, or vendor SDKs — caching, queues, and pub/sub included.
Node.js — ioredis / node-redis
Promise-first clients for Express and NestJS services, plus BullMQ for Redis-backed job queues, delayed tasks, and repeatable workers.
Python — redis-py
Sync and asyncio clients for FastAPI and Django caching, and the standard broker and result backend for Celery task pipelines.
Java — Spring Data Redis
Declarative @Cacheable caching, session repositories, and Lettuce connection pooling for Spring Boot microservices.
Go — go-redis
Context-aware pipelines and cluster-ready clients that hold microsecond latencies under heavy goroutine concurrency.
Frequently Asked Questions
Everything you need to know about persistence, eviction, failover, and scaling Managed Redis on Neviri.
Yes, when persistence is enabled — and Neviri enables it by default. RDB snapshots capture a compact point-in-time image of your dataset on a schedule, while the append-only file (AOF) journals every write command as it happens. With appendfsync set to everysec, the worst case after a crash is roughly one second of writes; switch it to always for zero-loss durability at a small latency cost. On restart, Redis replays the AOF or loads the latest RDB, and your keys are back in memory before the endpoint accepts traffic.
Both are valid, but they should be configured differently. As a cache, treat every key as disposable: set TTLs, enable an eviction policy such as allkeys-lru, and let your source-of-truth database rebuild anything that gets evicted. As a primary datastore — for queues, counters, leaderboards, or session state that exists nowhere else — switch the policy to noeviction, run AOF persistence with everysec or always, and attach at least one replica so a node failure never means data loss.
Your configured eviction policy decides. With noeviction, Redis rejects new writes with an error until memory is freed — the safe choice for primary data. With allkeys-lru or allkeys-lfu, Redis silently discards the least-recently or least-frequently used keys to make room, which is exactly what a cache should do. The volatile-lru and volatile-ttl policies restrict eviction to keys carrying an expiry, letting you mix durable and disposable data in a single instance. You can change the policy live from the dashboard without a restart.
HA plans run a primary with one or more replicas streaming its writes, watched by a Redis Sentinel quorum on independent nodes. If the primary stops answering, the Sentinels agree it is down, promote the most up-to-date replica, and reconfigure the remaining nodes to follow it — typically within a few seconds. Your Neviri connection string always resolves to the current primary, so applications reconnect automatically without a configuration change or redeploy.
Memory scales vertically: pick a larger plan and Neviri performs a rolling resize — replica first, controlled failover, then the old primary — so your endpoint stays live throughout. For read throughput, attach read replicas and point read-heavy code at the replica endpoint. Because Redis executes commands on a single core, raw per-instance throughput benefits more from pipelining and efficient O(1) commands than from extra vCPUs; the dashboard slow-log view highlights the commands worth restructuring.
By default, no — instances are provisioned inside a private VPC with zero public routes, which is the posture we recommend keeping. If an external worker or your local machine genuinely needs access, you can enable a public endpoint: TLS becomes mandatory on the wire, AUTH credentials are enforced on every connection, and the Neviri Cloud Firewall restricts inbound traffic to the exact IP addresses you allowlist.
Put a memory tier in front of your database in under a minute.
Deploy Managed Redis