Microservice Architecture from €4990 — honest about the trade-offs
Independent releases, fault isolation, per-service scaling. But you pay for it in infrastructure, observability and distributed transactions. We'll tell you when it's worth it — and when it isn't.
for architecture design
before any code
in production
before you build it
Read this before you buy microservices
One team, one release cycle
If you deploy once a week and one team owns the whole codebase, microservices will only slow you down. A modular monolith gets you 80% of the structure at 20% of the operational cost.
No independent scaling needs
When your entire system peaks together — say, a seasonal promotion — you don't need to scale pieces separately. One well-tuned monolith behind a load balancer is simpler and cheaper to run.
Early-stage product, unclear boundaries
If you're still discovering your domain, service boundaries will be wrong next month. Splitting too early means you'll be paying refactoring costs across network boundaries instead of inside one process.
Small team, no DevOps capacity
Microservices demand someone who owns Kubernetes, observability, CI/CD pipelines and on-call. If that person is also your backend developer, you're hiring for a burnout, not building a system.
Tight budget reality check
A modest microservices setup starts at €300–600/month for infrastructure alone — before your team's time. Add monitoring, logging, message queues and managed Kubernetes, and you're at €1,000+ monthly. That's the honest price of entry.
When it actually pays off
Microservices earn their keep when you have multiple teams shipping on different rhythms, one component under 10x more load, availability requirements that vary by feature, or regulatory data isolation.
The cost you're really paying
You trade release independence for infrastructure, observability and distributed transaction headaches. If you can't name the service boundary you need tomorrow, don't split today.
How we break a monolith into services — without breaking the business
Honest audit: do you even need microservices?
We map team structure, release bottlenecks, load peaks and data isolation requirements. If a modular monolith covers it, we say so. If not, we define service boundaries around business capabilities, not technical convenience.
Designing the target architecture
We design the API gateway, event flow (Kafka or RabbitMQ), saga patterns for cross-service operations, idempotency keys and tracing. You get a blueprint your team can actually operate — not a diagram that looks good in a deck.
Extracting the first service — strangler fig approach
We pick one bounded context, usually the one with the highest load or regulatory pressure, and route traffic to it gradually. The monolith keeps working. No big-bang rewrite, no six-month feature freeze.
Handover: running it in production
We set up containers, Kubernetes manifests, logging and distributed tracing. We document runbooks and on-call procedures. You leave with the first service live and a team that knows how to run the rest.
Microservices architecture pricing
All prices include a discount for permission to publish your case study.
Architecture review and a pragmatic decomposition plan. 3-4 weeks.
- Audit of your monolith and team structure
- Bounded contexts by business capability
- Strangler fig roadmap, first service scoped
- Infrastructure and observability budget estimate
- Honest verdict: do you actually need this?
One service extracted and running in production. 6-10 weeks.
- API gateway and routing in place
- Events via Kafka or RabbitMQ, idempotent consumers
- Saga pattern instead of distributed transactions
- Tracing, structured logs, health checks
- Containers and Kubernetes manifests
Several services, cross-team pipelines, operational handover. From 12 weeks.
- Independent release cadence per team
- Isolation for high-load or regulated domains
- Shared observability stack and runbooks
- Contract testing between services
- Ops training for your team
When microservices actually make sense
4 reasons to work with us
Start today
A short brief over Zoom — and we're already designing the mockup. No 30-page spec, no two-week sign-off.
Below-market price
From €290 in exchange for publishing your case. A fixed sum in the contract — no "surprise" surcharges along the way.
Full transparency
Reports every 3 days, tasks in a tracker, a chat on Telegram. You see progress in real time without "so when?".
Guarantees in the contract
30 days of free support, a refund at any stage if it doesn't fit, fixed deadlines.
Microservices architecture — the honest version
Let's start with who should not buy this. If you have one team, one codebase, and traffic that fits comfortably on a couple of servers, microservices will cost you money and buy you pain. The same goes for startups still searching for product-market fit: you'll be restructuring services every two weeks while competitors ship features. A modular monolith gets you 80% of the organisational benefits at a fraction of the operational cost.
Microservices earn their keep when you have several teams working at different rhythms and need to release independently. Or when one part of the system takes ten times the load of everything else and you want to scale it separately. Or when different components have genuinely different availability requirements — say, checkout must never go down while the recommendation engine can afford to fail. Regulatory data isolation is another honest trigger: keeping payment data in a separate service with its own access controls is often simpler than trying to prove isolation inside a monolith.
What you're actually buying is release independence and fault isolation. What you're paying with is infrastructure, observability, and the disappearance of simple database transactions. A single user action may now span three services, and "just roll back" becomes a distributed problem. You'll need an API gateway, message queues like Kafka or RabbitMQ, idempotent consumers, and a saga pattern to coordinate business processes across services. You'll also need tracing and structured logs just to answer "what happened" when something fails.
The most common way we work is the strangler fig approach: you don't rewrite the monolith, you extract it piece by piece. We identify a business capability with clear boundaries — billing, notifications, inventory — carve it out behind an API, and route traffic gradually. The monolith keeps running, the new service proves itself in production, and you repeat. This is how most successful migrations actually happen.
Be clear-eyed about the bill. Infrastructure costs typically go from tens of euros a month to several hundred, and that's before you factor in Kubernetes clusters, monitoring stacks, and someone who knows how to run them. Operational requirements grow with every service you add. Design typically takes 3–4 weeks; the first extracted service ships in 6–10 weeks. Our engagements start around €4,990 for a focused scoping and extraction plan, €12,900 for a complete first service with CI/CD and observability, and €29,900 for a multi-service programme.
Microservices architecture: honest answers before you commit
How many services should we start with?
How do we avoid building a distributed monolith?
Who operates the Kubernetes cluster?
What does infrastructure cost per month?
Can we just use a modular monolith instead?
How do you handle data consistency across services?
How long does the first extraction take?
Not sure if microservices are worth it for you?
Tell us what hurts in your current system — we'll say honestly whether this architecture solves it or creates new problems.
Other CMS and frameworks we work with
Let's talk about your microservices move
A short call or chat to figure out if splitting your monolith is worth it at all. We reply within 60 minutes during working hours (GMT+3).
Request sent
Thank you! We'll get in touch within an hour. In the meantime you can message us directly on Telegram — you'll get a faster reply.
Microservices are not a goal. They are a trade-off. Let's find out if the trade makes sense for you.
We start with a short architecture review: your release bottlenecks, failure domains, team topology and load profile. You get a straight answer — even if that answer is "stay on a modular monolith".