Apps / Frameworks

Spring Boot HA for APIs, integrations and B2B systems

Spring Boot fits Kubernetes well, but needs deliberate JVM settings, readiness/liveness probes, limits, logs, databases, queues and deployment. We run Java apps in production and HA.

Ask about Java HAPricing from 899 zł net/mo

For whom

B2B APIs and integrations
Event-driven systems
JVM apps in K8s
Teams without a platform team

What you get

2–3 app replicas
Readiness / liveness probes
Dev/preprod/prod profiles
PostgreSQL / MariaDB
RabbitMQ / Kafka
Redis / Valkey
OpenSearch / Loki logs
Autoscaling as an option

Typical architecture

2–3 repliki aplikacjiReadiness / liveness probesProfile dev/preprod/prodPostgreSQL / MariaDBRabbitMQ / KafkaRedis / ValkeyOpenSearch / Loki logsAutoscaling jako opcja

Packages and pricing

Prices net per month, starting proposals

Framework HA z opłatą wdrożeniową.

App Managed
1-node + DB
od 1 099 zł
Ask about a package
Recommended
App HA
2–3 replicas + LB + DB HA
od 3 990 zł
Ask about a package
App Critical
HA + DB HA + queue + DR
od 7 990 zł
Ask about a package

For HA — a quote after a short assessment. Add-ons (1h backup, PITR, read replica, migration) are quoted clearly before deployment.

Why it's worth it

Why it's worth handing this to us

A framework means workers and queues
Cache, sessions and background jobs must be arranged for production.
From 1-node to HA
We scale layers without rewriting infrastructure.
Repeatable deployment
CI/CD and rollback instead of manual uploads.
In every package

The standard you don't pay extra for

Backup and restore
24h backup by default, 1h backup and PITR optional, restore on demand and recovery tests.
Monitoring and alerts
Metrics, logs and alerts matched to your risk — you know about an issue before a customer reports it.
Security and access
SSL/TLS, access restrictions, RBAC, hardening and private networks and VPN.
Deployments and updates
GitOps, Helm, CI/CD, maintenance windows and prepared rollback procedures.
Locations PL / FR / DE / USA
We pick the region for latency, cost and EU compliance.
Documentation and care
Environment description, runbook, emergency procedures and contact with a technical person.
Managed vs in-house

Why managed costs less than an in-house hire

A single in-house specialist rarely covers 24/7, backup, monitoring and SLA at once. Here's a realistic comparison.

Your own specialist (in-house)
One salary = one person
A senior admin/DevOps is a full employer cost of ~18–25k zł/mo — and it's still just one person.
Available 8–16
Working hours, holidays, sick leave and weekends. A night outage waits until morning.
Backup on their shoulders
Separate tooling and storage cost; restore tests often skipped.
No formal SLA
No one guarantees response time; knowledge sits in one head (bus factor).
Tools and training
Monitoring, licenses, certs and training add to the salary.
VITAL CLOUD Managed
A 24/7 team
Many people, on-call and procedures. Someone's there even when your admin sleeps.
SLA in writing
An agreed response time per package, not goodwill.
Backup in 3 locations
Copies in three places, with validation and deduplication, and restore tests.
Service monitoring included
Alerts before a customer reports it; automatic service recovery after a failure.
Auto-provisioning
We start services automatically and repeatably (GitOps/IaC).
What it really costs per month
ItemIn-houseVITAL CLOUD
Specialist1 FTE ~18–25k zł/mo (8–16, holidays)24/7 team included in the package
AvailabilityBusiness days, working hours24/7 per package
Backup+tools and storage, tests often skipped3 locations, validation, deduplication — included
MonitoringSeparate tools + configurationIncluded, with alerts and auto-restart
SLANone / informalFormal, in writing
Bus-factor riskKnowledge in one headProcedures, runbook, team
Entry costRecruitment + onboardingFrom a few hundred zł/mo
Illustrative comparison. Amounts depend on market and scale — but even one in-house senior rarely replaces a team, backup in 3 places, monitoring and an SLA at once.See how much you'd save

FAQ

Do you set up JVM and probes?
Yes — CPU/RAM limits, GC, readiness/liveness and graceful shutdown, so deploys and scaling are predictable.

Got Spring Boot heading to production?

Show us your JVM requirements and deploy method — we'll design the environment.

Ask about Java HA