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Managed data platform

Redis without fragile cache operations

Assistance operates Redis for teams that need low-latency data access without treating memory sizing, failover, persistence, alerts, and eviction policy decisions as afterthoughts.

Sentinel or Cluster. Persistence by workload. 24/7 critical response available for covered production services.

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Low-latency operations

We run Redis with monitoring for memory, latency, commands, connections, replication, and persistence health.

Right topology for the job

Sentinel, Cluster, replicas, persistence, and eviction policies are selected around your actual durability and scale needs.

Clear cache ownership

Assistance owns the Redis platform; your team owns keys, TTLs, data semantics, and application behavior.

Service playbook

From problem to operating evidence

Main content is structured like a case study: context first, scoped work next, then the operating changes and evidence a team can use after handoff.

Service briefBest-fit use casesWhat Assistance operatesOwnership boundaryDeployment options

Managed Redis is for teams using Redis as a production dependency: cache, session store, rate limiter, lightweight queue, pub/sub channel, or real-time data structure. Assistance operates the Redis runtime so your engineers can focus on application behavior and performance.

Case-study lens

Scoped

Problem, responsibility, and handoff boundaries before implementation.

Evidence

Dashboards, runbooks, reviews, and operating records over borrowed logos.

Outcomes

Conservative summaries focused on observable operational improvement.

EvidenceSection 01

Best-fit use cases

Runbooks, dashboards, reviews, and handoff material make the work auditable.

Use caseWhy Redis fits
Application cacheReduce database pressure and improve read latency for hot data
Session storageCentralize session state for horizontally scaled applications
Rate limitingTrack counters and windows with low-latency operations
Queues and background jobsUse lists, streams, or sorted sets for lightweight work coordination
Real-time featuresPub/sub, leaderboards, counters, and ephemeral state
Operating modelSection 02

What Assistance operates

Responsibilities, response paths, and technical changes are made explicit before work starts.

AreaIncluded managed service responsibility
ProvisioningRedis topology selection, memory sizing, network placement, secure defaults, and connection details
ReliabilitySentinel or Cluster design, replication health, failover procedure, persistence choices, backup options, and runbooks
PerformanceLatency, memory, command, slow log, eviction, and connection monitoring
MaintenancePatch planning, version lifecycle guidance, maintenance windows, and controlled restarts
SecurityTLS options, ACLs, password/secret rotation support, network isolation, and audit-friendly access practices
ObservabilityDashboards and alerts for memory pressure, latency, replication lag, persistence errors, and connection saturation
SupportSeverity-based support for platform incidents and escalation for covered production services

Assistance operates Redis, but your application owns key design, TTLs, cache invalidation, queue semantics, and whether data can be safely evicted. We help choose safe platform defaults, but application data semantics must be explicit.

OutcomeSection 03

Ownership boundary

Expected changes are framed as practical operating improvements, not unsupported guarantees.

ResponsibilityAssistance ownsCustomer owns
Runtime operationsConfigure, monitor, patch, scale, back up where applicable, and operate RedisClient usage, connection pooling, key design, and command patterns
DurabilityImplement agreed persistence and backup approachDecide which data is cache-only, recoverable, or business-critical
EvictionConfigure selected policy and monitor pressureDefine TTL strategy and acceptable behavior when memory fills
AvailabilityOperate Sentinel/Cluster/failover inside agreed topologyApplication retry behavior and idempotency for Redis-dependent flows
AccessACL model and rotation procedureUser approval, service credentials in applications, internal reviews
EvidenceSection 04

Deployment options

Runbooks, dashboards, reviews, and handoff material make the work auditable.

OptionWhen to use it
Assistance physical serversDevelopment, staging, CI, internal tools, and predictable cache/session workloads
Customer cloud accountProduction workloads needing low latency to application services or cloud network controls
Cache-only deploymentPerformance optimization where data can be rebuilt from a source of truth
Durable Redis deploymentQueues, sessions, or stateful workflows that need persistence and recovery expectations
Operating modelSection 05

Topology choices

Responsibilities, response paths, and technical changes are made explicit before work starts.

TopologyUse when
Single nodeDevelopment, test, or non-critical cache-only workloads
SentinelYou need HA failover for a single primary with replicas and manageable memory size
Redis ClusterYou need horizontal scale, higher write throughput, or data larger than a single node comfortably supports
Read replicasYou need read scaling or isolation for reporting/analytics-style consumers
OutcomeSection 06

Reliability and support model

Expected changes are framed as practical operating improvements, not unsupported guarantees.

TopicManaged Redis approach
AvailabilityDefined by topology and support tier; not all cache-only environments require production SLA language
PersistenceRDB, AOF, hybrid, or no persistence selected based on data semantics
RecoveryRestore expectations documented where persisted Redis is part of production recovery
PerformanceMemory pressure, latency, and eviction are monitored because Redis failure is often capacity-driven
ResponseP1 response targets scoped in the support plan; 24/7 critical response available for covered production services
EvidenceSection 07

Onboarding

Runbooks, dashboards, reviews, and handoff material make the work auditable.

What changes

1. Workload classification

We classify Redis usage: cache, session, rate limit, queue, pub/sub, streams, or mixed. This determines durability, topology, and operational risk.

Operating step

2. Configuration design

Assistance defines memory sizing, persistence, eviction policy, topology, network access, ACLs, monitoring, and support model.

Implementation focus

3. Integration and migration

We provision Redis, provide connection details, help migrate keys where needed, and validate application connection pooling and timeout behavior.

What changes

4. Operate

We monitor latency, memory, command rates, replication, persistence, and failover signals. Capacity changes are planned before memory pressure becomes an outage.

ScopeSection 08

Not included by default

The work is broken into visible capabilities, acceptance points, and handoff artifacts.

  • Designing every application cache key and invalidation path
  • Rewriting queue consumers or job processing logic
  • Guaranteeing durability for data declared cache-only
  • Unlimited memory, node count, or retention outside the plan
  • Debugging application-level race conditions unless scoped separately
Next stepSection 09

Related products

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

  • Managed PostgreSQL — Source-of-truth relational database commonly paired with Redis
  • Managed MySQL — Relational backend for cache and session-heavy applications
  • Managed Prometheus — Metrics and alerting for cache hit ratio, latency, and saturation
  • SRE as a Service — Incident response, SLOs, and runbooks around Redis-dependent systems
Next stepSection 10

Getting started

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Request a Redis assessment. We will classify your workload, define data durability expectations, choose Sentinel or Cluster where needed, and document ownership and support boundaries. Request Redis assessment →

Next stepSection 11

Frequently asked questions

Decision points and common questions are made explicit so follow-up work is scoped cleanly.

Should we use Redis Sentinel or Redis Cluster? Sentinel is usually simpler for HA around one primary. Cluster is appropriate when data size or throughput needs horizontal partitioning. We choose based on workload and growth, not default complexity.

Can Redis be used for queues? Yes, but queue semantics must be explicit. Redis Streams can be a good fit for lightweight queues, while Kafka is usually better for durable replayable event streams.

Is Redis data always persisted? No. Cache-only workloads may disable persistence for performance. Sessions, queues, or stateful workflows usually need persistence and recovery expectations.

Who owns cache invalidation? Your application team owns invalidation logic and TTL choices. Assistance monitors and operates the Redis platform and can advise on safe patterns.

What happens when memory fills? The agreed eviction policy applies. We monitor memory pressure and recommend capacity or TTL changes before Redis reaches unsafe saturation.

Ready to get started?

Book a quote review or talk to an engineer.

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Pricing

Flexible scopes available. if you need custom terms or bundled service pricing.

Small

€200€/month

Single Redis instance for caching or session storage.

  • Single Redis instance
  • Persistence (RDB/AOF)
  • Monitoring & alerting
  • SSL/TLS encryption
  • Cluster mode
Most popular

Medium

€350€/month

Enhanced Redis with replica for high availability.

  • Primary + replica setup
  • Persistence (RDB/AOF)
  • Full monitoring stack
  • SSL/TLS encryption
  • Cluster mode

Cluster Mode

€600€/month

Redis Cluster for horizontal scaling and HA.

  • Redis Cluster (6+ nodes)
  • Automatic sharding
  • Advanced monitoring & alerting
  • SSL/TLS encryption
  • Horizontal scaling

Pricing calculator

Select the services you need to estimate your monthly cost.

Databases

from 400 €/mo
from 350 €/mo
from 600 €/mo
from 200 €/mo
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from 500 €/mo

Observability & Ops

from 250 €/mo
from 400 €/mo
from 300 €/mo
from 400 €/mo
from 200 €/mo
from 150 €/mo

Estimated monthly total

0 €/mo

Does not include server infrastructure costs (compute, storage, egress).

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Need a clearer path for Managed Redis?

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