Managed Redis & MongoDB Hosting in Romania

What we do for MongoDB and for Redis

They play different roles, so they get different setups. MongoDB gets a three-node replica set, indexes matched to your real queries, schema validation where it matters and a backup with a verified restore. Redis gets a memory limit, an eviction policy chosen for its job, AOF or RDB persistence and Sentinel for failover. We monitor the two together, because a cache outage shows up at once as pressure on the primary database.

• Indexes and projections reviewed against live query traffic
• TTLs on session, event and temporary queue collections
• Separate Redis instances by role: cache, queues, rate limiting
• Alerts on cache hit rate and on memory consumed

Best practices we apply to NoSQL

Most MongoDB and Redis incidents come from defaults left untouched after installation, not from traffic. We apply the same list on every delivery and record it in your documentation, so you can check it yourself at any time. Exposed instances without a password are found by automated scanners within hours of starting, so network isolation is never optional in any environment we run.

• Three-node replica sets, with a failover we have triggered in practice
• Authentication and TLS enforced, services bound to the private network only
• maxmemory and an eviction policy set explicitly on every instance
• AOF or RDB persistence, with Sentinel or Cluster depending on the role
• Redis ACLs and regular restore drills from backup

Where each one fits in your architecture

Redis earns its place when the same answer is computed thousands of times: catalogues, availability, baskets, request limiting, processing queues. MongoDB earns it when documents differ from one another and the schema shifts between releases: product catalogues with variable attributes, customer records, events, content. When your data has strict relations and financial reporting, we say plainly that PostgreSQL is the better choice and show you why.

• A read cache in front of APIs with uneven traffic
• Processing queues for invoices, emails and reports
• Documents with variable attributes and no schema migration at every release

Included hours and how to request them

Administration comes out of the monthly hours in your plan: 1–8 h on VPS, 5–10 h on dedicated servers depending on the plan, 10 h on GPU servers, and 1 h from cPanel Advanced upwards. Request the work in the client panel under DevOps Services with your own deadline. Hours do not roll over, so we plan them: migration and hardening in one month, indexes and cache policy in the next. Work above the quota continues and is billed separately.

How we work

1. Request it in the panel

   Open the request under DevOps Services with your current data volumes, the type of traffic and the deadline that suits you.

2. We scope the work

   We look at queries, memory and how the application uses its cache, then agree what fits into the hours available this month.

3. We build it and watch it under traffic

   We deploy the replica set, authentication, memory policies and backups, then watch the cache hit rate and the latency the application actually sees.

4. Handover with documentation

   You receive the configuration files, the access rules, the backup plan, the failover steps and the result of the restore drill.

Use cases

Technology stack

• MongoDB
• Redis
• Redis Sentinel
• Percona Backup for MongoDB
• HAProxy
• Prometheus
• Grafana
• WireGuard

Frequently asked questions

• Redis vs MongoDB: which one should I choose?

  They solve different problems. MongoDB is the main store for documents you must keep: records, catalogues, events. Redis is the fast, usually temporary layer: cache, sessions, queues. They complement each other. If your data has strict relations, we recommend PostgreSQL instead of both.

• What is Redis used for?

  Redis is an in-memory database used for caching, sessions, processing queues and request limiting. It answers very quickly because it keeps data in RAM, but it needs a memory limit, an eviction policy and correct persistence settings, or it can lose data on a restart.

• How much does managed Redis cost?

  Redis is sized by memory, so cost follows the amount of data you keep hot. We size RAM to the working set, not to the whole database, and the plans page lists current prices for the servers it runs on.

• Can MongoDB run on shared hosting, or do I need a VPS?

  You need a VPS or a dedicated server. MongoDB needs control over the process, memory and network, which shared hosting does not give. A proper replica set also has three nodes, which means dedicated resources and a private network between them.

• How do I secure a Redis or MongoDB instance exposed to the internet?

  The first step is not to expose it. We bind the service to the private interface or a VPN, close the port in the firewall, enforce authentication, TLS and ACLs, then check from outside that the port does not answer.

• What happens when a replica-set node fails?

  The set elects a new primary automatically and the application reconnects through its driver. We test the switchover at delivery instead of just configuring it, and we note in the documentation what it looks like in the logs, so your team recognises it at once.