Edinburgh SaaS platform with session-heavy traffic
A subscription product moves session state and rate limiting into Redis, cutting database load at peak sign-in times and giving support a clear place to inspect live sessions.
Managed Redis & MongoDB Hosting UK
DevOps services · United Kingdom
Managed Redis and MongoDB hosting for UK teams that need a caching layer and a flexible-schema database that don't fall over under load. We design the caching strategy, set eviction and TTL policies, configure replica sets and lock both engines down to your private network — on VPS and dedicated servers in Frankfurt, with DevOps hours included.
- Caching strategy designed around your real traffic
- 3-node MongoDB replica sets with tested backups
- Both engines private-network only, never public
- VPS 1–8 h/month; dedicated 5–10 h/month depending on plan; GPU 10 h/monthIncluded hours
- Frankfurt, in the EUData centre
- L3/L4 DDoS mitigation includedNetwork protection
- EUR invoicing, 20% UK VAT itemisedBilling
01
Caching and flexible-schema data, done separately
Redis and MongoDB solve different problems and we set them up that way, not as a single bundled box. Redis handles session state, rate limiting and hot-path caching with an eviction policy sized to your dataset. MongoDB handles the collections where your schema genuinely varies between documents — catalogues, event logs, user-generated content — with a replica set behind it so a single node failure doesn't take your application down.
- Redis maxmemory and eviction policy matched to your cache pattern
- AOF or RDB persistence chosen against your recovery requirements
- MongoDB 3-node replica sets, not a single point of failure
- TTL indexes on MongoDB for data that should expire, not accumulate
02
Best practices we apply
Both engines are fast to stand up and easy to leave insecure, which is exactly why they're a common finding in security reviews. We apply the same hardening checklist on every deployment, and it's the checklist we hand you at delivery so you can verify it yourself, or hold your next provider to it. We test failover and eviction behaviour under load before we call a setup finished, not just at first boot.
- 3-node replica sets as the default, not an upgrade option
- Authentication, TLS and binding to the private network only
- Redis ACLs scoped per application rather than one shared password
- AOF/RDB persistence with Sentinel or Cluster for failover
- Backup and restore drills run before go-live, not assumed
03
Sizing the right engine for the job
A lot of Redis vs MongoDB questions are really a sizing question in disguise. Redis is in-memory, so cost tracks RAM, not disk — we size it against your actual cache hit rate rather than a round number. MongoDB scales with sharding once a single replica set can't hold the working set, but most UK teams we work with never reach that point; a well-indexed replica set carries far more load than expected.
04
How the included hours work
DevOps hours come with the plan: 1–8 hours a month on VPS tiers, 5–10 hours a month on dedicated servers depending on the plan, 10 hours a month on GPU servers. Use them to request a replica-set migration, an eviction-policy review, or a hardening pass on an existing deployment, through the client panel under DevOps Services. Hours don't roll over between months, so we help you plan around your release calendar. Anything over the monthly quota is billed separately, never left undone.
How we work
Request the work from the panel
You describe your current Redis or MongoDB set-up, your traffic pattern and your uptime requirements, and propose a deadline.
We scope the caching and replica strategy
We size Redis against your cache hit rate and design the MongoDB replica set topology, confirming what's included in the hours.
We deploy and rehearse the failure path
We stand up both engines on the private network, migrate your data, and actually trigger a failover before calling it live.
We hand over with a hardening checklist
You receive the topology diagram, the ACL and access model, and the backup and restore procedure we tested during delivery.
Use cases
Media publisher with a flexible content model
A publisher storing articles with wildly different field structures per content type finds MongoDB's schema flexibility a better fit than forcing everything into rigid relational tables.
Marketplace startup pre-Series A
A two-sided marketplace needs a 3-node MongoDB replica set and hardened Redis caching before a due-diligence review flags a single point of failure.
Technology stack
- Redis
- MongoDB
- Sentinel
- MongoDB Atlas-style replica sets
- RedisInsight
- Prometheus
Every subscription includes monthly DevOps, CyberSecurity and Programming hours: 1 h from the cPanel Advanced plan up, 1–8 h on VPS, 5–10 h on dedicated servers depending on the plan, and 10 h on GPU servers. Hours are requested from your client panel, don't roll over to the next month, and anything above the quota is accepted and billed separately.
Frequently asked questions
Redis vs MongoDB — which one should I choose?
They're rarely a straight choice: Redis is an in-memory cache and session store, MongoDB is a document database for persistent, flexibly-structured data. Most applications we host use both — Redis in front of MongoDB or PostgreSQL, caching the hot paths without duplicating the source of truth.
When should I use Redis instead of MongoDB?
Use Redis for anything that needs sub-millisecond reads and can tolerate being rebuilt from another source: sessions, rate limits, hot-path caching, leaderboards. Use MongoDB where the data itself needs to persist and its shape genuinely varies between records.
How much RAM does managed Redis actually need?
It depends entirely on your working set and eviction policy, not a fixed rule — we size it against your real cache hit rate during onboarding rather than guessing. Oversizing wastes plan capacity; undersizing causes evictions that quietly degrade performance.
Does MongoDB get expensive with replication and backups?
Not on a fixed monthly plan — the cost surprises usually come from usage-based cloud database pricing, not from running a self-managed replica set. We include the 3-node topology and backup schedule in the plan, with DevOps hours covering the ongoing operation.
Can Redis and MongoDB run on the same server?
For small workloads, yes — we can co-locate them on one VPS to start. As traffic grows we typically separate them onto dedicated instances, since Redis is memory-bound and MongoDB is I/O-bound, and they compete for different resources under load.
Are Redis and MongoDB exposed to the public internet?
No. Both are bound to the private network only, reachable exclusively from your application servers or over VPN, with authentication and TLS enforced. Public database ports are one of the most common findings in the security reviews we run.
Want caching and data storage that don't fight each other?
Tell us your traffic pattern and we'll design the Redis and MongoDB layout, sized correctly and hardened from day one, using the hours already in your plan.