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DevOps consulting

DevOps Consulting and Platform Engineering

DevOps is a way of working in which software is built, tested and released to production through automation and shared responsibility. We set the scope to fit your needs: sometimes a CI/CD (continuous integration and continuous delivery) pipeline for a single application, sometimes a Kubernetes platform shared by several teams, along with infrastructure automation and monitoring. We work in the cloud, in your own data center and in hybrid environments.

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Sample interface: CI/CD pipeline stages and a canary deployment on a Kubernetes cluster pipeline · api-service · #1284 running Build 0:41 Unit tests 1:12 Security scan 1:38 Image signing 0:09 Staging deploy 0:47 Production · canary … triggered by: main · 3fa9c2e total 5:07 deployment frequency Weekly cluster · prod-ist-1 · 3 nodes v1.31 node-a node-b node-c canary 25% → 100%
Environments
AWS, Azure, Google Cloud, local cloud providers, data center, hybrid
Platforms
Kubernetes (EKS, AKS, GKE), OpenShift, Rancher
Working model
Project · ongoing consulting · managed services
First step
Free initial consultation or free assessment
When you need it

When does DevOps support come into play?

As your software team and the number of systems grow, your delivery process needs to mature with them. We decide together where to start, based on your current situation.

  • Releases depend on manual steps. Automating those steps lets you release more often and makes rollbacks predictable.
  • Environments differ from one another. Building test and production environments from the same definitions reduces unexpected differences.
  • You run Kubernetes and the operational load is growing. Version upgrades, capacity planning and a standard way of operating become necessary.
  • Infrastructure changes need to be recorded. Being able to trace who changed what and when matters for both operations and audits.
  • Monitoring and alerting need a fresh look. Bringing metrics, logs and alerts into a single setup, so issues are visible before users notice them.
  • Teams handle similar infrastructure work separately. Shared templates and self-service environments reduce repetitive work and waiting times.

What changes with the engagement?

The goal is not to install tools but to improve how your team's day-to-day work gets done. The table summarizes starting points we often see and the target setup.

Our working principles

  • Infrastructure, delivery pipelines and policies are defined as code.
  • Changes are reviewed and kept on record.
  • The platform itself is tested and versioned.
  • Success is measured by delivery metrics, not by the number of tools installed.
  • Where possible, portable and open tools are preferred.
Starting pointTarget state
Manual release stepsA repeatable automated pipeline that runs on every change
Infrastructure changes made from the consoleVersioned and reviewed infrastructure code
Different pipelines from team to teamShared templates and a recommended path
Environments created on requestSelf-service environments with predefined rules
Scattered logs and alertsMonitoring in one place and meaningful alerts
Operational knowledge held by individualsRunbooks and documented procedures
Scope

What do we do in DevOps and platform engineering?

A single area or end to end, depending on your needs.

Kubernetes platform

Installation, version upgrades, multi-cluster management and capacity planning on EKS, AKS, GKE, OpenShift, Rancher or in your own data center.

CI/CD pipelines

Pipelines that automate build, test, security scanning and deployment, built on shared templates and repeatable across teams.

Infrastructure as code (IaC) and GitOps

Terraform/OpenTofu for infrastructure, Ansible for server configuration, Argo CD or Flux for deployments; every change tracked in Git.

Observability

Dashboards that bring metrics, logs and traces together in one place; meaningful alerts and service level objectives (SLOs).

Internal developer platform

A self-service setup in which teams create their own environments, services and pipelines within defined rules.

Containerization

Containerizing applications and moving them to Kubernetes, planned together with the infrastructure and code sides.

What is platform engineering, and when do you need it?

Platform engineering means building a self-service internal platform shared by teams, so that DevOps practices remain sustainable as the number of teams grows. Instead of rebuilding infrastructure, teams use the platform's ready-made, approved paths.

Golden path

A ready-made, approved path for a new service: template, pipeline, monitoring and security checks are included from the start.

Self-service

Teams create environments, databases or pipelines themselves, within defined limits, without opening a ticket.

Rules in the platform

Security, cost and compliance rules are built into the platform, so each team does not have to apply them separately.

When do you need it?

When several teams handle similar infrastructure work separately, a platform is needed; for a single team, good CI/CD is often enough.

Process

Pilot first, then roll out.

We introduce changes in stages. The output and success criteria of each stage are defined at the start, and you track progress against the same criteria.

What do we measure?

The five metrics the DORA research program uses for software delivery performance. We choose together which ones to track, based on the data you have:

  • Deployment frequency
  • Change lead time
  • Change fail rate
  • Failed deployment recovery time
  • Deployment rework rate
1

Discovery and analysis

We review your current architecture, release process, team structure and risks.

Output: Findings and goals
2

Target architecture and roadmap

We select tools and platforms with documented reasoning and prioritize the work.

Output: Architecture document, phased plan
3

Pilot

We build end to end with one application and one team, then measure and improve.

Output: Working pilot and first measurements
4

Rollout

We extend the setup validated in the pilot to other services and teams.

Output: Pipelines and environments
5

Handover and operations

We train your team and hand over the runbooks; if you prefer, we keep operating it with you as a managed service.

Output: Documentation, trained team
Deliverables

What you have at the end of a DevOps engagement.

Deliverables depend on the scope of work; they are documented, usable by your team and handed over in your own tools.

Architecture documentation

Target architecture, decision records and their rationale.

Infrastructure code

Terraform and Ansible code, modules and a usage guide.

CI/CD definitions

Pipelines, templates and deployment strategies.

Monitoring dashboards and alerts

Ready-to-use dashboards, alert rules and SLO definitions.

Runbooks

Incident response, backup, rollback and upgrade procedures.

Training and knowledge transfer

Hands-on sessions for your team, with recordings.

Technologies

We work with your existing investment.

We first assess the tools you already have and recommend a change only when there is a clear benefit.

Containers and orchestration

  • Kubernetes
  • OpenShift
  • Rancher
  • Amazon EKS
  • Azure AKS
  • Google GKE
  • Docker
  • Helm

CI/CD and GitOps

  • GitLab CI
  • GitHub Actions
  • Jenkins
  • Azure DevOps
  • Argo CD
  • Flux

Infrastructure as code (IaC)

  • Terraform
  • OpenTofu
  • Ansible
  • Packer

Platform engineering

  • Backstage
  • Crossplane
  • HashiCorp Vault

Observability

  • Prometheus
  • Grafana
  • Loki
  • OpenTelemetry
  • Elastic / OpenSearch

Cloud and virtualization

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Local cloud providers
  • VMware
  • Proxmox
Who it is for

Where do you start, given your team's size?

SMEs and small teams

Work usually starts with a CI/CD pipeline for a single application, basic monitoring and backups; the aim is a simple setup that is easy to operate.

Growing software teams

As the number of teams grows, making the release process scalable with shared templates, Kubernetes and self-service environments.

Enterprise IT teams

Specialist support in a specific area alongside your existing team; designs that take modernization and regulatory requirements into account.

Before we start

Making the first meeting productive.

None of these is a prerequisite; whatever you have makes the first conversation more concrete.

What you can prepare, if available

  • Existing architecture diagrams and a list of environments
  • A short description of your release process and examples of recent outages
  • Team structure: who is responsible for what
  • Regulatory or customer-driven requirements
Frequently asked questions

About DevOps consulting

References and standards

It reviews your software development and operations processes and helps you set up and maintain CI/CD, infrastructure automation, a container platform and monitoring. The scope is sometimes a single pipeline and sometimes a redesign of the entire delivery process.

For most small teams, yes. With one application and one team, a CI/CD pipeline that automates build, test, security scanning and deployment, together with basic monitoring and backups, is usually enough. Kubernetes and an internal developer platform come into consideration as the number of services and teams grows.

No. Kubernetes is not the right choice for every workload. We look at your applications, your team's skills and the operational load together, and recommend a simpler solution where needed.

No. We first assess your existing investment. In most cases, correctly configured existing tools are sufficient; we recommend a change only when there is a clear benefit.

DevOps is a way of working in which development and operations work together, with automation and short feedback loops. Platform engineering builds a self-service internal platform shared by teams in order to scale that way of working. For a single team, DevOps practices are often enough; the need for a platform arises as the number of teams grows.

No. We work the same way across public cloud, local cloud providers, your own data center and hybrid setups, and prefer portable tools where possible. We address the question of which environment is the right fit as part of IT architecture and cloud consulting.

Yes. The definitions in Git let you return infrastructure and application configuration to a previous recorded version; recovering data such as databases and files requires a separate backup and restore plan. We design both together and test restoring from backup regularly.

We work alongside your team. Decisions and code live in a shared repository and move forward through review; that is why training and runbooks are part of the deliverables.

The choice is yours: we can train your team and hand it over, stay on with ongoing consulting, or operate it together with you under a managed services agreement. Under managed services, the scope of 24/7 monitoring and incident response is defined in the agreement.

We add basic security scans to CI/CD pipelines. Extending security across the entire delivery pipeline, and topics such as software supply chain security and secrets management, are covered by DevSecOps consulting.

It does, and we take it into account from the start. Requirements such as access management, audit logging, data residency and environment separation are designed as part of the architecture.

Related services

DevSecOps

Secure CI/CD and software supply chain

IT Architecture and Cloud

Cloud migration, hybrid architecture, cost management
Free initial consultation

Let's clarify your needs together.

In a free initial consultation we discuss your current situation and goals, and share our first impressions and possible next steps in the same meeting.

Request a meeting +90 216 203 01 21
  • A technical conversation with specialists in your area
  • First impressions of your situation and possible approaches
  • Where it fits, a next step: an assessment, a project proposal or consulting
  • A non-disclosure agreement before the meeting when needed
  • A reply within 4 business hours