Senior engineers · Košice, Slovakia · serving the EU
We design, build and operate your infrastructure on AWS, GCP or Azure for the long term. Cloud migration, Kubernetes where it earns its keep, everything as code in your repository, plus monitoring, backups and a cloud bill you can actually explain.
DevOps Slovakia · Košice · EU
Our cloud and DevOps services are for companies whose application runs on a single ageing server, whose releases are a nerve-racking manual routine, or whose AWS or Azure bill grows faster than their customer base. We design the cloud architecture, migrate your systems, introduce CI/CD pipelines and monitoring, and then run the infrastructure with you for the long term.
We are not a hosting company or a staffing agency. Megu is a senior-only software company based in Košice, Slovakia, with 15+ years in production and 100+ production projects. The engineers who write backends and mobile apps also build the infrastructure those apps run on. When an application slows down under load, we look for the cause in both the code and the infrastructure instead of simply adding more servers.
We choose boring, proven tools: Terraform or Pulumi, Docker, Kubernetes only where it pays off, GitHub Actions, ArgoCD, Grafana and Prometheus. The whole infrastructure is described as code in your repository and runs in a cloud account that belongs to you. If you ever decide to continue without us, you take over a working environment with documentation, not a black box.
What we deliver
Six areas you can order separately or together. Each one ends with something concrete: code in your repository, documentation and an environment your team can keep running.
We design networking, compute, databases, storage, access and backups around what your application actually needs. We choose the cloud pragmatically, often based on what your organisation already uses. Data stays in EU regions, and the design keeps GDPR in mind: encryption, access control and audit logs.
Moving from on-premise servers, VPS or legacy hosting. First an assessment of what runs where and what depends on what, then a migration order, the target environment as code and a rehearsal on a copy of the data. Cutover happens in an agreed window with a rollback plan, followed by performance and cost tuning.
We containerise applications with Docker and, where it makes sense, run them on managed Kubernetes (EKS, GKE, AKS) with autoscaling, health checks and separate environments. To be honest: for one or two applications with predictable load you often don't need Kubernetes, and a simpler setup costs less. We will tell you upfront.
We describe the whole environment in Terraform or Pulumi: networks, servers, databases, DNS and access. Changes go through code review and every environment is reproducible. CI/CD pipelines in GitHub Actions run tests, builds and deployments, with GitOps via ArgoCD on Kubernetes. No hand-configured server that only one person understands.
We make cloud spend visible and predictable: every resource has an owner and a budget, and alerts arrive before the invoice does. We look for savings in resource sizing, scaling and idle capacity, but only where they do not put performance or availability at risk. You get a list of steps, each with an estimated saving and its risk, to roll out at once or gradually.
Monitoring and alerting with Grafana and Prometheus, backups with tested restores and a disaster recovery plan. Updates, security patches, fixes and further iterations for years after launch. If you have your own team, we embed a senior DevOps engineer who takes over the infrastructure and leaves the know-how with your people.
Scenarios
Common situations where cloud and DevOps work solves a concrete problem, and how we approach each one. These are typical scenarios, not stories about specific clients.
Logistics and transport
Dispatch, shipment tracking and the customer portal have to work at six in the morning when routes are being planned. We know the domain from our own transport management platform. We design a redundant architecture, backups with restore tests, monitoring that raises an alert before a dispatcher notices, and releases deployed without taking the system offline.
E-commerce
Before Black Friday or a major campaign we find the bottleneck: the database, images, external payment gateways or the application itself. We set up autoscaling, caching and load tests so the shop survives the peak. After the season we scale capacity back down, so you are not paying all year for servers that sit idle.
SaaS and startups
An MVP often runs on whatever was at hand. As paying customers arrive, we add separate staging and production environments, CI/CD, infrastructure as code and monitoring. Kubernetes comes in only when growth really calls for it. We have been through this with our own SaaS product, which handled 10x growth in active users.
Manufacturing
Company systems run on hardware that is going out of support, and only one person knows how it is managed. We assess what should move to the cloud and what is better kept on site close to production, then migrate in stages outside production peaks. The result is a documented environment in code instead of knowledge in one administrator's head.
Finance and accounting
Client and financial data needs to stay in the EU, and every access to it should be traceable. We build the environment in an EU region with encryption, least-privilege access, audit logs and regular backups. Access is managed through roles rather than shared passwords, and every infrastructure change can be traced in the repository history.
In-house software teams
Developers deploy by hand, nobody owns the alerts and infrastructure gets patched between feature work. We embed a senior DevOps engineer who joins your stand-ups, introduces CI/CD and infrastructure as code, cleans up monitoring and gradually teaches the team to run it themselves.
Process
Five steps, each with a clear output. Throughout the engagement you have full access to the repository and the cloud account, a demo every week and an open backlog.
We go through what you run today, what hurts and what you need to achieve. NDA on request, and you get a reply to your enquiry within 24 hours. If it turns out you need neither the cloud nor Kubernetes, we will say so.
We map servers, applications, databases, dependencies, costs and security risks. You receive a target architecture, the order of steps, a list of risks with a rollback plan and a transparent estimate of the work.
We write the infrastructure as code in your repository and set up CI/CD pipelines, monitoring, alerting and backups. Staging comes first, then production, and everything goes through code review.
We move the data and switch traffic in an agreed window, usually outside peak hours. Before cutover, restores from backup are tested and a rollback plan is ready; afterwards we watch metrics and errors closely.
After launch we handle alerts, updates, fixes and further iterations. We regularly review the cloud bill and performance, adjust resource sizes and prepare a clean handover if you want to take over operations yourselves.
Why Megu
No need to coordinate a development agency with a hosting company. The engineers who know your application also build the environment it runs in, so performance problems and failed deployments get fixed at the source.
Hardened servers and containers, least-privilege access, secrets management, network segmentation and encryption. We can also put the environment through a penetration test and fix what it finds, not just report it.
Infrastructure code, pipelines, documentation and cloud accounts are yours. You have full repository access from day one, so you depend neither on us nor on a single administrator.
We develop our own transport management platform and run it in production, and we built a SaaS product with a mobile app on an architecture that handled 10x growth in active users. So we approach monitoring, backups, releases and scaling under load as the people keeping systems running, not as outside advisers.
Technology
We pick proven tools for the problem, not for the hype. The exact combination depends on your systems, your team and who will run the environment after handover.
FAQ
A DevOps consultant improves the way software gets from a developer's laptop into production: infrastructure, CI/CD pipelines, monitoring, backups and access control. In practice that means automating deployments, describing infrastructure as code, setting up alerts that matter and removing the manual steps where mistakes happen. A good consultant also knows when not to add complexity. At Megu this role is filled by senior engineers who understand the applications as well as the infrastructure.
The cost depends on scope, so we do not publish a price list; instead you get a transparent written estimate after a free first call. A one-off project, such as a migration or setting up Terraform and CI/CD, is estimated by milestones. For ongoing operations, or a senior DevOps engineer embedded in your team, we agree a long-term engagement. Either way, weekly demos and an open backlog show you exactly what you are paying for.
It depends on scope: a simpler application with one database typically moves within a few weeks, while a larger estate with many systems is planned in stages over several months. The timeline is driven by the number of systems and dependencies, the volume of data and how much downtime is acceptable. After the assessment you get a concrete schedule, including the cutover window and a rollback plan.
You reduce AWS and cloud costs mainly by removing waste and sizing resources to real load. We start with cost visibility: tagging, budgets and alerts. Then come rightsizing oversized instances and databases, autoscaling, switching off non-production environments outside working hours, deleting unused volumes and snapshots, and reserved capacity for steady load. Each recommendation comes with an estimated saving and its risk, not a vague promise of 'up to 50%'.
Often you don't, and we will tell you before the project starts. Kubernetes makes sense when you run several services that are deployed and scaled independently, when load varies a lot, or when several teams need a shared platform. For a single application with a database and predictable traffic, a managed container service or a well-run virtual server is usually cheaper and simpler to operate. When we do use Kubernetes, it is a managed cluster (EKS, GKE or AKS) defined in code.
For most teams Terraform is the safer default, while Pulumi suits teams who want to define infrastructure in a general-purpose language such as TypeScript, Python or Go. Terraform has a very large ecosystem of providers and modules and is widely known among operations engineers, which makes handover easier. Pulumi lets developers use the loops, functions and tests they already know. We work with both and choose based on who will maintain the code; either way it lives in your repository.
Choose the cloud that fits what your organisation already uses and what your team can run, because all three offer comparable core services and EU regions. Azure is often the natural choice for companies built on Microsoft 365 and .NET, AWS has the broadest range of services, and Google Cloud is strong in data work and managed Kubernetes (GKE). We compare them against your requirements and expected costs, and because we write infrastructure as code, you avoid being locked into hand-built resources.
Yes, your data can stay in the EU: we deploy into EU regions of AWS, GCP or Azure, for example Frankfurt, in a cloud account that belongs to you. Megu is an EU company working under EU jurisdiction, and we design environments with GDPR in mind: encryption, access control, audit logs, backups kept within the EU and documentation of where data lives. The legal assessment itself stays with your data protection officer or lawyer.
Contact
Tell us what you run today and what is causing trouble. We reply within 24 hours, and on a free first call we will point out where we see the biggest risks and savings.
